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Podcast Summary: Capital Allocators – Jim Falbe – Modern Value Investing at Saguaro (EP.320)
Episode Overview In this episode of Capital Allocators, host Ted Seides interviews Jim Falbe, founder of Saguaro Capital Management. The conversation delves into Jim's journey into value investing, the integration of AI and data science in the investment process, and the foundational principles behind Saguaro Capital Management.
Key Discussion Points
Jim Falbe's Background
- Early Exposure to Investing: Jim's interest in investing started with his mother, who worked in finance and introduced him to concepts such as cash management and covered calls at a young age.
- Humanitarian Work: After his mother passed away, Jim initially distanced himself from finance, pursuing humanitarian work in Jordan for five years, which shaped his perspective on meritocracy and the importance of networking.
Transition to Investment Management
- Return to Finance: After marrying and realizing the need for financial stability, Jim began self-educating in investing, drawing inspiration from renowned investors like Warren Buffett.
- Experience at Vulcan Value Partners: Jim spent eight years at Vulcan, where he learned about investment quality, the importance of values within a firm, and began automating research processes.
Founding Saguaro Capital Management
- Value Proposition: Saguaro combines traditional value investing with modern technology solutions, aiming to identify and invest in high-quality businesses while maintaining a focus on values.
- Investment Philosophy:
- Focus on Quality: Goal to build a list of the top 100 companies globally.
- Long-Term Holdings: Emphasis on identifying great businesses and allowing them to compound over time.
- AI Integration: Use of AI tools to enhance research, idea generation, and risk management.
Investment Process
- Qualitative and Quantitative Analysis: Emphasis on understanding businesses qualitatively before applying numerical valuation methods.
- Position Sizing: Varying sizes for positions based on familiarity with the business and perceived value, aiming for a concentrated portfolio of 7 to 14 names.
- Risk Management: Identifying risks through a clear understanding of businesses and limiting exposure to highly levered and regulated sectors.
Technology in Investing
- AI and Automation: Jim’s experience at Vulcan led to a focus on using AI for idea generation and data analysis, setting Saguaro apart in its investment approach.
- Continuous Learning: An ongoing commitment to refining the investment process and learning from historical data.
Values and Corporate Culture
- Core Values at Saguaro: Trust, courage, generosity, joy, and continuous improvement form the foundation of Saguaro’s culture and investment approach.
- Impact over Profit: Desire to build a firm that positively impacts both clients and the community rather than solely focusing on financial returns.
Challenges and Opportunities
- Navigating a Crowded Industry: Acknowledgment of the challenges new firms face in a saturated market, with an emphasis on creating value-driven, performance-focused products.
- Investment Examples: Discussion on companies like Games Workshop and the importance of understanding both qualitative factors and market dynamics when making investment decisions.
Key Takeaways
- Integration of Values and Technology: The blending of traditional values with modern technological tools can create a robust investment framework.
- Importance of Long-Term Perspective: Emphasizing patience and thorough evaluation can lead to successful investment outcomes.
- Networking and Relationships: Building and leveraging relationships are crucial in the investment industry, as highlighted by Jim’s experiences.
Closing Thoughts Jim Falbe’s journey from humanitarian work to founding Saguaro Capital Management illustrates the power of personal experiences in shaping investment philosophies. By merging traditional value investing with modern technology, Saguaro aims to navigate the complexities of today’s market while staying true to its core values.
For more detailed insights, visit the [Capital Allocators webpage](https://www.capitalallocators.com/podcast/modern-value-investing-at-saguaro/).
Written by AI. May contain mistakes. Listen to the episode to check what was said.
Transcript
Automatic transcript. May contain errors.0:04Hello, I'm Ted Seides and this is Capital Allocators. This show is an open exploration of the people and process behind capital allocation. Through conversations with leaders in the money game, we learn how these holders of the keys to the kingdom allocate their time and their capital. You can join our mailing list and access premium content at CapitalAllocators.com. All opinions expressed by TED and podcast guests are solely their own opinions and do not reflect the opinion of capital allocators or their firms. This podcast is for informational purposes only and should not be relied upon as a basis for investment decisions.
0:44Clients of capital allocators or podcast guests may maintain positions in securities discussed on this podcast. My guest on today's sponsored insight is Jim Falby, the founder of Saguaro Capital Management, a newly launched value-oriented investment firm spun out of Vulcan Value Partners that blends traditional value investing with modern AI and data science inputs. Our conversation covers Jim's path to value investing, experience at Vulcan, introduction of AI automation into the investment process, and founding of Saguaro. We discuss sourcing the best businesses in the world, researching investments, making decisions, constructing portfolios, and applying technology tools to value investing.
1:30We close discussing the foundation for long-term investing at Saguaro and an investment example. Before we get going, we're hosting our fourth cohort of Capital Allocators University in New York City on September 14th. Capital Allocators University, or CAU, is a chance to connect and learn with peers. We'll bring together a few dozen allocators, each with around 5 to 15 years of experience, to share frameworks on interviewing money managers, investment decision-making, leadership and management, and investing. and we'll engage with four fantastic chief investment officers, Jenny Heller from Brandywine, Kim Liu from Columbia, Anna Marshall from the Hewlett Foundation, and Brian O 'Neill, recently retired from the Robert Wood Johnson Foundation.
2:19You'll get a chance to meet some great people and learn a lot in an information-filled day. Hop on our website at capitalallocators.com slash university to apply. Please enjoy my conversation with Jim Falby. Jim, thanks so much for joining me. Ted, I'm really excited to be here. Thank you for the time today. Why don't you take me back to your first window on the world of investing? Well, for me, it's actually my mom. She worked for a company called CKE Enterprises, who today owns Carl's Jr. Restaurants and Hardee's. She was their treasurer back in the day. So her primary job was actually doing corporate cash management.
3:04It's kind of fun now as a professional looking back on some of their 10Ks and seeing my mom named as an NEO. I've been told, I haven't confirmed this, but people have told me she was actually the highest ranking female in the restaurant industry at the time, which I don't know if that's a credit to my mom or a discredit to the restaurant industry. But looking back, I can see just how tremendous that was. I remember growing up with her talking about this stuff all the time. And actually, I have a memory being 10 years old. She's sitting me down on my bed and explaining to me how she earned extra yield on stock holdings by writing covered calls.
3:37Who does that with their 10-year-old kid? But my mom was obviously a pioneer of sorts, and you have to be a little different to do that. So definitely my first window. And it's funny that we actually write covered calls now. Where did that initial exposure take you? The sad part of my story is that my mom actually passed away early when I was 13. So lost that guide. And the interesting thing, this is just a weird kind of ignorance thing, but I, growing up, assumed that women did money management. And all of my mom's friends, who were actually the stockbrokers that would pitch her ideas, they were all men.
4:15So I thought, well, if you're going to go into the investment industry, if you're a man, you need to be a stockbroker. If you're a woman, you need to be a money manager. So when I got to be 16, my dad sent me back to spend a summer with some of these people who'd worked with my mom. I quickly realized that that was not for me. I did not want to pitch stock ideas that I knew almost nothing about just trying to earn a commission from people. It just wasn't the environment I was excited about, the way people talked to their clients, and then the way people talked about their clients once they hung up the phone.
4:42So when I went to college, kind of did a 180. I'm going to go and serve humanity directly and just don't want anything to do with the finance industry. What did you do out of college? So I actually did humanitarian work. Funny enough, went overseas and lived in the country of Jordan. We actually put together an English and computer training center. We were educating about 1 ,500 students per year at the peak. And so went and did that for five years and wouldn't trade it for anything. What are the things you most took away from the experience? So I'd say two things. One, I learned what a terrible business looks like.
5:18So trying to run this computer training center, right? We're trying to offer first world services at third world prices. And so the only way that worked is if we could get volunteer free labor from college students who are willing to come over either for a summer or for a year and teach English for absolutely nothing. The second thing I learned growing up as an American, most of us are really taught this idea of meritocracy. If you're this great phenom at basketball, you're going to get recruited, you're going to get noticed, and eventually you kind of the system. I think a lot of us believe that the same thing is true in normal intellectual pursuits and any kind of typical job, right?
5:55If I go to school, I get a 4.0, I put in the hours, someone's going to find me, I'm going to get a great opportunity. And being in the Middle East, they have this term in Arabic called wasta. And the direct translation is influence, but what it really means is who you know is everything. They get their job based on their uncle or their sister or their father gets them a position. And seeing this just so rampant, I realized I was like, you know, if this is here in the Middle East, this has to exist in the States as well. Maybe it's important for me to focus on who I know and building connections, et cetera, and not just trying to perform.
6:31And so really learned how to network. Coming back, it was a very powerful kind of differentiator where I'm like, okay, who I know is really important and I want to focus on that. What was your motivation for going and doing that work? I wanted to give back. I wanted to do something that was service-oriented. You know, I think both my parents ended up passing away when I was early. So my mom died and then my dad died 10 years after that. But it just left me with this feeling that life is fleeting and you never know what's going to happen tomorrow. And so, yeah, I could try to prepare and make money or do other things.
7:04But really, what do I want to be remembered for? And what do I want to know that I've done? I just want to go and try to be a part of the solution and part of the answer. I mean, there's definitely a spiritual aspect to it that's important to me. But I think it was just really this drive of wanting to give back and wanting to serve. So you kind of inverted the life model. A lot of people in the industry go and make money, and then they say they want to give back. You went and did that first and then pivoted when you came back. So what was your thought process in coming back at the beginning of your career?
7:34I met my wife, and she actually attended Baylor University at the same time that I did. and we somehow ran in the same friend group, but we never met. And so while we're overseas working on the same project in Jordan, was very lucky, married way above my pay grade. And now we've got four kids. I was very happy eating rice and peanut butter, doing the whole humanitarian thing. But as I'm thinking about getting married, thinking about having a family, it's very important. I'm now thinking about retirement, paying for college. I need to think about investments, et cetera, et cetera. And it's funny the way life works, but my mother-in-law, she happened to have a book on a shelf when I was staying at her house one time called A Random Walk Down Wall Street by Byrd Malkiel.
8:18Read it, got very excited about index funds and allocating to this asset class when it's down and rebalancing. I'd also heard a lot about Warren Buffett. So I thought, well, I should at least look him up. And I Googled him like anyone else and very quickly was captivated by his wit and his wisdom, not just in investing, but life. Again and again, when he says, if you only read one book on investing, it needs to be The Intelligent Investor by Benjamin Graham. He's the best investor on earth. He tells me to read that. I should. So I promise I'm not making this up. I actually took The Intelligent Investor on my honeymoon.
8:52And we joked that the man who came home with my wife but was different than the one that she married. By the time I got back, I started investing for myself. And fast forward nine, 10 months, I was managing money for a few other family members, some parents of friends, and a couple other people on our team. And I'm up late at night reading 10Ks, 10Qs, et cetera. Started out very much like anyone else where I can buy what Warren Buffett buys for less than he does, and I can sell it for more than he does, I'll probably do okay. That quickly translated into, huh, wonder if I could do the same thing in less efficient parts of the market.
9:33Let me go try to find some businesses that produce free cash flow, good returns on invested capital, have these durable competitive moats that I understand and can reinvest in themselves. And I was able to do that. I'm like, okay, I've got the intellectual makeup to do this. I've got the curiosity. But as a faithful disciple of Warren and Charlie realized the emotional makeup may be a more important part. The financial crisis hit right after and ended up making a lot of money for a lot of people through that. I was on the phone saying, hey, now is the time to buy these really high quality businesses.
10:04Coming out of that, my wife and several other members of our team, they sat me down and they said, you know, Jim, you're a decent English teacher. You're doing okay with this humanitarian work, but you are adding so much more value to our life over here. Why don't you consider doing this investing thing professionally? So I was like, oh, you know, okay, I guess I'm in these classes telling people you only live once, live for your dream. Maybe I should take them up on that. And so that led to the journey to come back to the States. Is your educating yourself about investing? How did you get comfortable that you're ready to manage other people's money?
10:39When I was thinking about coming back and trying to do this professionally, I said, well, there are three things I want to do. One, I didn't get an undergraduate finance education, so I'd like to get an MBA to make sure that I don't miss anything in that foundation. Two, I'd like to do the CFA program because I think it's the highest stamp of approval you can get. And then three, I'd love to try to apprentice or have an internship or a job at a world-class firm for a few years just to prove that I'm doing this at the highest level. So what did you do? Well, I decided I just need to go to business school.
11:12So I started studying for the GMAT. So I'm studying on these micro buses late at night. And actually, there was this closet that I would go into at the office with no air conditioning in the middle of the desert in Jordan. Ended up doing pretty good on the test and wanted to go to Columbia because that's what Warren Buffett did, but ended up not being able to go to Columbia. And the university, which was willing to take a chance on me, was Notre Dame. At the time, I did not know how well regarded their investment office was. So just very much serendipity or dumb luck, show up there and got connected with Scott Malpass, who ran the investment office.
11:47And he introduced me to his deputy named Rick Berman and Paul Bueser, who they now run a firm called Seder Grove. But Rick actually spent the first part of his career trafcing around Africa doing humanitarian work. And we really connected because we saw the world very similarly, both from an intellectual, but also from a spiritual perspective. I had been trying very hard to network with all of these people in the investment industry. And suddenly, now that I knew Rick, I had WASTA. I had influence. When I called someone, they weren't so interested in calling me back. But when Rick's like, hey, I've got this guy.
12:22He'd love to talk with you. Would you be willing to speak with him? And suddenly, Notre Dame's endowment, there's some money there. People were like, yes. I actually ended up doing an internship with Notre Dame at the investment office. And the reason it was a good fit, they were very early in the 1990s into private equity. They were also early into the aughts in emerging markets. And when I was there right after 2010, they were looking to pivot into the frontier markets. And the area where they did not have competency was in the MENA GCC region. So the Middle East, North Africa, Levant, and the Gulf.
12:55And obviously, I'd been there for five years, did investing. They said, listen, we'll teach you how to do manager selection. you can teach us about the culture, the geography, the people, everything about the region, and maybe we can put something together. And so we did a huge project on the Middle East, and I think we evaluated 50 managers. And for me, I was going to get exposure to so many different investment managers just to get to know what they do, who they are, et cetera, and kind of build that network. They knew I ultimately wanted to go on and do equity research, not do manager selection.
13:24And Vulcan Value Partners was trying to solicit Notre Dame's business. And they were looking to hire an analyst. And when they came through, Notre Dame said, hey, we've got just the guy. He did some great work for us and we'd love to introduce you guys. What did you learn working at Vulcan that was different from what you had figured out on your own? Well, I think coming into Vulcan, I was more of a special situations guy. And I really wanted to make the same evolution that Warren Buffett himself had made, which is how do I really find these high quality businesses that can compound for long periods of time.
13:59And really looked up to C.T. Fitzpatrick, who runs Vulcan, because that's what they do. Very much quality investors for the long term. Very fortunate it ended up working out because when Notre Dame connected me to Vulcan, I actually got an interview. They took me out to this nice Italian restaurant in Chicago. After the entrees were served, we started talking stocks. And it turned out that one of the companies I had bought while I was in Jordan called Bolt Technologies, actually, to make these underwater sonar guns to detect mineral deposits or oil deposits at the bottom of the ocean was something that Vulcan had sourced for their small cap program.
14:34They brought me down for the interview and the rest is history. And how long was your stay at Vulcan? So I was there for eight years. When I signed on to Vulcan, it was a$1 billion boutique. They were large enough that I was very confident they'd be able to pay the bills. There'd be some stability, but also small enough to still be able to really perform. And that was important to me. I didn't want to go someplace that was large. I wanted to be at a boutique where it was performance, performance, performance. Little did I know what I was signing up for, but from a billion dollars to$20 billion over the eight years and thrown into the deep end.
15:09When I showed up, I was member number six of our investment team and CT gave me a vote from day one. Very thankful to have an early level of responsibility. What happens in your thinking when you're there, ends up being a very successful time. There was a lot that happened at Vulcan. So I'd say the big lessons of being at a firm that experiences that type of growth, first and foremost, one of the things I really respect about CT that he did right was he always built a firm and prepared for the best case scenario. So I think a lot of people, they're like, I'll prepare for worst case scenario. You need to be prepared if something bad happens.
15:47And the flip is also true. Sometimes in our life, we have that moment of true opportunity. And if we aren't prepared to seize it, it will pass us by. And so CT said, before I launch, I want Vulcan to be prepared to manage$10 billion. So he raised outside capital, he built all of the infrastructure, had everything at that institutional level. And lo and behold, that opportunity happened. We went from a billion to 10 billion, and we pumped the brakes. We hit 10 billion. We had a retreat and the CT said, you know what? We are not taking any more money. And it took us, I think, to like 12 or 13 before it actually stopped.
16:23We were bringing in$100 million a week in AUM because the performance was just out of this world at that point in time. And he actually stopped it because we have to make sure that our systems and everything are ready and capable of being at a 15 or a$20 billion level. If we keep going, the wheels are going to fall off. We then rebuilt all of our systems, hired enough people to make sure that the wheels would not fall off before we then open it back up. So that's a lesson we've really taken with us. The other big thing I took away, which I incredibly respect, was a lot of companies have values, but I think most of the time they're just platitudes and people do it because they feel like they're supposed to.
16:59But at Vulcan, CT and the other founding partners, including Bruce, really took the time to say, what are the personal things that have driven us over our life? And if we can take our personal values that are core to who we are, put them into the business, and truly let that be the thing that drives us, it's going to make us a much more valuable place. And I really enjoyed being some, I mean, again, I was a humanitarian worker, but I don't think I've been anywhere else in my life where the values truly were that integral to everything that we did. We did the same thing at Saguaro. We said, you know, we are going to take the time, find our personal values, and really make that core to who we want to be.
17:33Ultimately, at the end of the day, if we're just trying to make money, that's not going to drive us. But what is going to drive us is if we have values that we think make the world a better place. And we want to see those values multiply. Had the opportunity to do some great things, learned a lot. But the key thing that led to me doing something different was early, early days. I actually, it's like my second week there. I think CT came into my office. He's like, Jim, I want you to look at every single company in Brazil. I want you to see if there's anything there quality that'd be interesting to us.
17:59And I'm just starting. I'm like, I don't want to look at Brazil. I want to look at these small caps in the US or the UK. I don't want to look at Brazil. I was like, so what's a faster way that I can do this? And I'm like, I got to figure something it out. And so we had the Capital IQ plug in an Excel. And I'm like, I wonder if there's a way to take Vulcan's model and maybe automate it a little bit. And I could do this a lot faster. And so I did actually. I was able to get through Brazil pretty quick. And he was happy with the result. And fast forward a little bit of time, I actually started automating more and more of Vulcan's process.
18:28And so about two years in, I had actually automated almost everything that could be automated on the research side. CT was happy. The other members of the research team were happy. and our productivity was a lot higher. Same time, I love to read what I learned this week by 13D Research. I was just on this big kick that AI was going to just disrupt everything. There's no industry that's safe. You're all going to lose your jobs. AI is going to replace any intellectual worker. And so reading this, I keep thinking, I'm like, man, there's going to be some multi-billion dollar shop out there that's going to take this, run with it, disrupt the industry and make a lot of money.
19:01I'm staring out my window one day and I was like, you know what? We're a multi-billion shop. Why couldn't we do this? And so walked back across the room, picked up the phone, called our IT guy, Kevin Overlauer, and said, hey, Kevin, you want to risk getting fired? He's like, sure, why not? We just reached out to IBM, completely ignorant. We got on the phone and we're like, hey, we want Watson. Do you think we could get Watson and try to apply it to our use case in finance? And they're like, yeah, sure. We'd love to do that with you. Tell us about the developers and programmers you have on staff and give us some examples of some of the projects that you've done previously?
19:33And I was like, yeah, hold on one second. I'll tell you, can you define for me what a developer is? And they're like, oh, we don't think you're ready for Watson. They connected us with one of their outsourced consultants, ended up with us doing kind of a full AI effort at Vulcan, where we had eight people at the peak and we're spending a lot of money, but just added a ton of value. When you first started in Brazil and then you rolled out across the firm, what were the things within the research process that you were able to automate? Capital IQ has done a pretty good job of pulling in both assets, financial data, and then their clean versions of financial data.
20:08So if you're evaluating a business and you say, hey, listen, the most important thing is I want to look at certain financial metrics. So free cash flow conversion or return on tangible assets or return on invested capital. And I really want to look at it over time or I want to look at margins over time. Well, yes, before you value a business, if you're going to do evaluation on it, you're going to want to do that by hand to make sure you're getting every number right. But if what you really care about is trends. What you really care about is these ratios. Just automate it. Even if it's off a little bit, as long as it's off consistently across every company, you're still comparing apples to apples.
20:39We know that if we have a really great company, you're going to be earning certain returns on tangible assets and returns on invested capital and the incremental returns. So just being able to automate all of that data for the past, call it 15 years on every single business, and then being able to look at that on one page helps you quickly weed out the really terrible businesses. Warren Buffett used to talk about when he'd go through the Moody's manuals, he'd look at every single business, but some of them he didn't look at that long. And so there isn't a Moody's manual on Brazil that I'm aware of.
21:05And then we had a repository of our great ideas, which we called the MVP list. And one of the things we were able to do is we built a really rough automated valuation mechanism where we could monitor the value of those businesses over time relative to their stock price based on analysts updating their inputs. So we'd come up with a valuation on a company and we'd figure out, well, hey, listen, if we were to use the analyst inputs, how would we kind of get to that valuation? And then we could automate that. And so it made it a lot easier to manage this large database of 300, 400 companies and kind of knowing where to focus our attention and where to focus our time.
21:38When you pivot from automating part of the processes to integrating AI, what did you find in the work with AI? The biggest area where it's really been helpful is idea generation. So we had this treasure trove of data going back 15 years on what makes a truly great business, what makes a terrible business. And we were able to train a model based on both qualitative inputs and quantitative inputs to look for these truly great businesses. And what I mean by a quantitative input is it's what's called a feature. And so if you don't understand machine learning, you're new to it, feature engineering is saying, hey, a single point of data isn't that important.
22:16But if you can look at a combination of these single points of data, it's more important. So for instance, from a financial standpoint, I don't care about margins in 2022, but I do care about margins over time. So if I'm looking at the trend line of margins over time, that's a feature. If I look at return on tangible assets over time, that's a feature. If I look at return on invested capital over time, that's a feature. And so we had about 300 of these, the most predictive of a great company or bad company would be things like the trend line of the intrinsic value per share over time, or maybe your share count over time.
22:47Other things like that are very indicative. Now, the nice thing about machine learning relative to a stock screener, which is where your mind instantly goes when you think about this, is stock screeners, one, only look at quantitative variables. Machine learning models are intelligent enough that they can also do textual analysis. They can look at unstructured data. And a big part of our job is understanding what makes up competitive advantages. So we were able to use natural language processing to create or look for these certain concepts. So you think about like Oracle and they're kind of a monopoly in their core database market.
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23:24They're never going to come out and say, oh, we're a monopoly. They don't even like to use the word dominant. Safra Katz says, oh, we like the term popular. I'm like, okay, that's nice. But if you read through their documents, there are two, three, four word combinations that would imply the existence of this market structure. And in natural language processing parlance, a two, three, four word combination is called an ingram. So it's a bigram, trigram, quadrogram. And in essence, what you're doing is you're looking for these word combinations that imply the existence of some other concept. And so for us, yes, we're looking for economies of scale.
23:56We're looking for dual-sided network effects. We're looking for IP. We're looking for some form of government-granted license. And then also, just as important, on the negative side, there are things that we're trying to avoid. So if you've gotten a Wells notice from the SEC or you have asbestos exposure, et cetera, over time, we're able to build up this type of dictionary where anytime you've identified one of these two, three, four work combinations you put in the machine, it can then identify it forever going forward. We create this. And now this thing, which understands the difference between a good company and a bad company can go out, look across the entire globe and help us find things.
24:30And so it's really helpful. One in niches that you otherwise might not play in, or you might overlook. It's very helpful in geographies that you simply wouldn't get to, or it's helpful in areas where you might have a preconception that something is bad or wrong, but it's changed. I actually had an example of this a week ago. There's this company called Masonite, and they actually make the skins of doors that you would buy at Home Depot or Lowe's. And obviously, contractors or large construction companies will buy them in mass. But historically, that industry has just earned their cost of capital.
25:03That's a return. That's it. So we weren't really that interested in it, but the machine said, hey, no, listen, you got to take a look. And when we did, what happened, Mason and I actually got a new CEO about two years ago. He came in and there was this pricing study done where he found that customers actually expected doors to cost a lot more than they do. So he was like, all right, well, he raised prices across the board, 25 % and said, take it or leave it. What happened is his biggest competitor, Jeldwin, three days later, followed suit, raised their prices. Between the two of them, they own 80 % of the market.
25:34So all of us are thinking, oh, this is just a door business that earns their cost of capital. Well, no, actually what's happened, the market has consolidated and now they actually have pricing power. But if you look at what's happened on their returns in the past two, three years, everyone just thought, well, everyone was at home. They're spending a lot more money because everyone's redoing their house right now. But that's not actually the case. If you look at the units, what's happened is just this pricing differential that they've been able to get. Units have actually been in decline for the last 18 months, but they're doing so much better because pricing is better.
26:01And we're like, wow, this is now a great company where you've got a consolidated industry with pricing power. We would never have found it had we just gone off the way we think about the industry. But the machine didn't have that preconceived notion. It was looking at the reality today. That's where it's really helpful for us on idea generation. When you're sitting at Vulcan, it's$20 billion. You said some large firm is going to be able to capture this opportunity. You're starting to mine for it. What's the impetus for leaving? Well, we have to go back in time, I think four or five years into my tenure at Vulcan.
26:32Vulcan had the opportunity to build out this affiliated manager program. So we had several different groups who had a track record, but they weren't very large. And they were looking for somebody to handle their back office operations, maybe some of the business front office, and then really client development. And we had a debate, is this something we want to do? Because we actually had three groups. And we're like, man, we could really do something here because Vulcan did not have a lot of external service providers. we had built our entire back office ourselves. And we thought we could really leverage this with other affiliated managers.
27:02But after an extensive discussion, CT follows the Greek maxim of know thyself. And I think he knew himself pretty well. He thought, if we do this, I'm gonna be very involved. And if my ultimate goal is to produce the best possible returns that I can for our clients, I wanna stay focused. And so we made the decision at that time to not do affiliated managers. And the AI system that we built was adding so much value and we really had vision of where we wanted to go with it, we kind of got to the point where if we kept going, we risk upsetting the investment mandates we already had. So we've got this really great$20 billion apple cart.
27:39Now, are we really gonna push that over, top all the apples out just because we're chasing some shiny object and made the decision that if we're gonna do this, it probably needs to be independent of Core Vulcan. And CT was gracious enough, the team was gracious enough to say, well, let's have another debate about, do we want to do affiliated managers with internal people? The firm was really kind of split 50-50. There were people like, oh, we got to do this AI stuff. And other people like, ah, I don't know if it's worth it. And ultimately, they made the correct decision for them, which is to do the best we can for our clients.
28:09We need to stay focused. So they still have the AI system that we built, but they said, we want to go this far. And we just don't think we can go any further. We love you. We support you. We're for you. And if you want to go do this, that's great, but we just can't do it here. We felt there's this tremendous opportunity. So five previous people at Vulcan who are all co-founders of this thing, principles, that really believed that we think we can do something that's going to add value for that next generation of value investors. So really interesting story, just kind of going back to how life has this weird way of working out.
28:39My mom, after she worked at Carl Karcher Enterprises, she moved on to do corporate cash management. And she ended up working at this firm called Winrich Capital Management. Unfortunately, after she passed away, kind of lost touch with the people there. I tried to find the Winrich capital management people saying, hey, maybe they could help me understand what I need to do and prepare like you're asking so that I can do this at a high level. After I had made the decision to leave Vulcan and I was actually listening to your show, Ted, at that point, I was like, man, I really wish I could find those Winrich Capital Management guys and heard a podcast that you were doing with a guy named Paul Black from WCM Investment Management.
29:15And I'm like, okay, this is interesting. It feels familiar to me. And then a couple of weeks later, I listened to another show by you where you had Paul Black and Mike Trigg from WCM Investment Management on the show. And I was like, man, this just feels so crazy. I was like, WCM couldn't be Winrich Capital Management. I mean, nobody would name their firm Winrich Capital Management Investment Management, would they? After the show, I went and I Googled them, I looked them up, WCM Investment Management, and lo and behold, there it is, Kurt Winrich and Paul Black, these guys that my mom had worked with that I had never been able to find again when I tried to go back to business school.
29:45And then when I tried to get a job afterwards, and lo and behold, when I'm trying to start my own firm, ended up getting reconnected with them because of you and listening to your show. So thank you for that. It ended up being a really great thing for them and anyone who knows them. I mean, they were just blown away by the story and were so gracious saying, hey, your mom was a big part of starting this in the early days when we were trying to get off the ground and they've tried to support us. And Paul's actually on our board now because of that. And so just a tremendous story and feel like this coming full circle, getting to talk to you today and being able to say thank you to you for that.
30:14Really phenomenal. Thanks, Jim. That's awesome. Love hearing stories like that. So when you set out to form Saguaro, you mentioned the importance of having values that you really live by and work by. What were those values for your firm? So for us, there's five things. We want to build trust. We want to act courageously. We want to give generously or live generously. We want to pursue joy. And we have this phrase that great isn't good enough. It's really just the idea of continuous improvement or continuous learning. And for us, trust is everything, right? If we don't trust you, we don't want to do business with you.
30:47And I think if we're not trustworthy, people aren't going to want to do business with us. I think living generously, again, it's about that idea of giving back and serving. The way I visualize this is like you have a cup, right? And if you fill that cup up with water, well, you now have the choice. Are you going to pour that water back out? Or are you just going to try to hoard all that water in? And if you pour it out, you get filled again. But if you're already full and someone tries to pour more water in, it just kind of flows out. And we've all found in our life from the time we were children, growing up, that as we give, we receive.
31:17And so for us, that's who we really want to be. Acting courageously is just about, okay, if we follow this process, whatever, life is hard. Sometimes things are challenging, but it's in the midst of those trials and those tribulations. Do you follow your process? Do you continue to execute? Do you continue to move forward? And if you do, we think that's the right way to achieve the best possible investment results, but also the best way to achieve the results we want in life. So pursuing joy, we have a lot of fun. We play disc golf and run around and do crazy things. And ultimately, we think that by building that relationship and that trust, it's easier for us to then speak truth when it needs to be spoken and have the tough discussions.
31:53Continuous learning, continuous improvement, I think we're all kind of driven and that's who we are. We want to be better tomorrow than we are today. Let's turn to the investment side of what you're doing. What is that set of investment beliefs that you have that drive what you're doing at Saguaro? Our philosophy is we want to take the best of everything that's come before, that classic investment discipline. And we want to fuse that with hyper-modern technology. So the latest and greatest, the things that are out there that could make us better at what we do. Every human analyst, better, faster, or hopefully both.
32:24And we believe that that's the way to really produce exceptional results for the next 10 years is to make us better. And technology can accelerate that. The way we approach investments is ultra simple. One, we're trying to find the best businesses on earth. So we have a list of 100 companies. For something to get on that list, something else has to come off. So we're constantly searching for these super high quality businesses. Two, once we have them on that list, we're waiting for a true opportunity to buy that company at a discount to what we think it's really worth. We know from experience and also from academic research that even the best companies out there, they tend to experience a 50 % drawdown from peak to trough at least once every decade.
33:06And that's really what we're waiting for is that type of opportunity. And then finally, once we have a great business that also gets discounted and we own it, we want to own that thing as long as possible. We want to find these truly great businesses and allow them to compound and to do what they do. I wish we could own them forever. We're a public equity manager. So at some point, if something gets egregiously overpriced, we do need to make a change. Or if we have another opportunity, we need to do that. But we want to hold them as long as possible. How do you define what a great business means for you to make it to that hundred list?
33:39First off, we want free cashflow. We're a big believer in free cash lag. I don't care if you're going to disrupt the world in five to seven years. If I am not 100 % confident, you're not going to be able to make it between today and there in the future. I mean, there's a lot of great people in the VC space or other parts of the market where they can make money doing that, but that's not our game. We always hear the moat analogy. Obviously, we're looking for moats in terms of competitive advantages, but I think we're different in that we spend a ton of time thinking about what's inside that moat.
34:08Do you actually have Rumpelstiltskin in some back tower up there who's spinning straw into gold. You have a king and queen who in essence are good at capital allocation. Are they using that gold to bolster the moat and make their defenses bigger and take care of their people inside the kingdom? Or are they just enriching themselves and throwing lavish parties and doing whatever? And then finally, I want to give a real shout out here to Pat Dorsey. He wrote a little book on value investing. And he had one idea in there, which I've never heard anybody else talk about, but it's this idea of, yeah, we want companies that grow, but really, is that growth inside the moat?
34:43There's a lot of businesses where people will get excited about that business and they'll be like, oh, look at this. They've got this core here. It's uber well-defended and they're growing, but the growth is actually taking place in a new business line or something that's outside of the moat. That's not exciting for us. We want that moat where the growth is inside. So you think of like Visa or MasterCard, Market Access or TradeWeb or something. These companies are, it's going to be 30 years where they're going to continue growing and that growth, it's all inside the moat. So obviously, we're looking on great returns on invested capital, returns on tangible asset, strong balance sheets, proclivity to buyback shares, all those things, which I think you would standard look for, but that's how we visualize quality.
35:17When you're looking at a prospective business to add to the list, how do you assess management's ability to foster all those things you think are necessary in a quality business that stays that way over time? I'm just going to steal from the greats. Charlie Munger always says that the best predictor of future performance is past performance. Obviously, if it's somebody who's newer to the seat, and there are times where we will get excited about a new management team, there's this meeting of the minds where you can tell, okay, this person is viewing it long-term. This person is taking responsibility.
35:48This person believes that they can allocate capital in a way that will generate excess returns. And you quickly start to see it through their actions and the way that people either get energized or people get de-energized. Once you've decided that the business is good enough quality to be on your list, there's a big gap between something that's trading at your assessment of fair value and 50 % below. So what rubrics do you use to figure out when you might want to start buying something? One of the things that makes us different from other people I know in the industry is we think in terms of ranges of values around businesses versus point estimates of value.
36:25For instance, at Vulcan, we use point estimates of value and it works great if you have businesses where the value is stable and you can size your position according to the discount that you think is in that stock. That works wonderfully. But if I have high quality businesses, oftentimes they also grow. The perfect example is Amazon. And at Vulcan, we spent a year trying to figure out what is the appropriate valuation rubric to use for this company. because if my assumption is they're going to grow at 10 % versus 15%, I get a radically different outcome in my value. We asked the question, we're like, well, is Amazon too good to own?
37:01Because it's hyper growth and the value fluctuates, can we not own it? Because it doesn't fit the process. That experience made me feel, it's like, well, I'm not fully confident what Amazon is worth exactly. I am very confident that it's worth more than X. And I'm also very confident it's worth less than why. So we're trying to have that humility to say, listen, if these are truly great businesses that are kind of once in a decade type opportunity, yeah, I don't necessarily know what it's worth. But man, if it gets down here to the low end, I really want to own it. And once I own it, I want to hold on to that thing because these truly great businesses, they're so rare.
37:38Another great example is when I first started at Vulcan, we owned Apple. And at the time, I mean, it was just unbelievably cheap. This is like 2013. And the iPhone that they'd released that year was not as popular as the Samsung Galaxy, which is hard to believe today, but everybody was kind of poo-pooing it. And we had a multiple on that thing of like 10 times, and it was incredibly discounted, even at a 10 times multiple. We owned it, and we'd go to meeting after meeting where people say, what's wrong with you guys? How can you be so dumb that you own Apple? And lo and behold, over the next 18 months, the stock actually doubled.
38:09And we were so excited, patted ourselves on the back, it hit the fair value estimate, and we exited the position. Well, on a split adjusted basis, the stock was$33 at that point in time. Today, it's almost 180. And we're so proud of a double, which is great. No one's ever going to get upset at you about that. But we missed out on another 6X. And if we'd held it from 2013, if we could still hold it today, that would be a 12X. What we've tried to do is say, hey, if we've got one of these really rare, truly great businesses, it's okay if it kind of gets to our midpoint of value, our fair value estimate.
38:42Unless we have some other opportunity that's just so much more compelling, let's allow this thing to compound over the long run because that's why we bought it in the first place. We're holding ourselves to only these truly high quality businesses. And the opportunity to get one is so rare. We try to be ultra long-term. We're going to have very low turnover. We've got some great LPs. And I think future LPs are going to be people who understand and share that long-term time horizon. But if we have one sell or one buy in year, that's not going to surprise us at all. How long do you think long-term ends up being for the portfolios that you run?
39:16I am guessing we're going to have less than 20 % turnover. So I don't know exactly, but I'm very hopeful it's longer than five years. Love to hear about how you make decisions on the portfolio. So we've got four people on our research team today. I will put a plug out here. We're looking to add a fifth. So if you know anybody or anyone out there is interested in what we're doing, We're very picky about who we bring on to the team, but we'd love to talk to anyone and everyone. Everyone on our team knows what we're looking for. So we've got Bruce Donnellan, myself, and then my partner, Brian Chow, and then Brian Wagman, who joined us more recently.
39:48But everybody knows what we're looking for. They have the opportunity when they're looking at something, if they can find a reason why it isn't going to qualify, that bar is really high, top 100 in the world. They can quickly just say, okay, it doesn't qualify. Here's why. I reviewed it on this date. It doesn't make it for this reason. We have a list and we keep that and we feed that in the machine. But we do this qualitative analysis first. So before we do valuation on a business, we evaluate it strictly from a qualitative perspective. And I'm sure some people out there have fallen guilty to this, but we've also experienced in our past that if a company looks cheap or it feels cheap, sometimes we'll view it as more attractive than it really is.
40:24I'd say when I have cash in the portfolio, it kind of reminds me of high school where if I didn't have a date for a long period of time, suddenly people who I didn't use to find attractive started to look a little bit more attractive than they did in the past. For us, if we have a lot of cash, it's the same way. It's like, well, maybe that business makes it. But by taking valuation out of the equation and just evaluating a business from a qualitative perspective and doing financial analysis, it helps us to be a more objective. But we bring it in, we evaluate it, and we think it makes it. The second step is we do this blind vote, which has been really helpful.
40:55Because we found historically, we'd bring a company in, and then we'd start debating whether it qualifies. And we'd get mad at each other for 30 minutes or an hour, only to find out that we all actually agree that it belongs on the list and at the exact same spot. So now we come in and we actually vote on whether it qualifies and where we would rank it on the list so that we can kind of see where we all are to begin that conversation. What does your portfolio look like in terms of number of names and position sizes? We're very concentrated. Our technical limits are five to 20 names. Realistically, each one of our portfolios will probably be more 7 to 14.
41:27Today, we've got 12 in all three of our portfolios. Our portfolio sizing is very simple. If an idea is new to us, i.e. we haven't followed it longer than 12 months, we're going to limit our position size to 5%. If there's a company that's not quite selling at the low end of our valuation range, but it's drifting down, we've talked to a lot of our clients and they would prefer for us to be fully invested if we can be. So we don't always have companies selling at the low end of the range that we can allocate capital to. For us, a core position is the 10 % weight. And that's, we followed something for longer than 12 months, it's on the list, and it's selling at or below the low end of our valuation range.
42:06And it's going to be that core position where we size it at 10. If something just gets unbelievably discounted or is an incredible conviction of ours, we can take a 15 % weight. And we do have a couple of those. Those would be our really high conviction ideas. We don't tend to trim things. We're just It's going to allow them to compound. We do have limits where we're going to hard trim 20%, 25 % weights. But for the most part, the reason we sell something is because the reason we bought it changes. There's some other opportunity that's just so much more compelling, or hopefully at some point, someday it hits the high end of our valuation range and we're forced to exit the position.
42:40As you look at your list of the 100 best companies, are there biases in terms of sectors and market cap? We have three strategies. We have a SMID strategy, an all-cap strategy, and a large-cap strategy. We kind of cut the difference between SMID and large at around$20 billion. So there's no overlap. As far as industries, there are some areas that we avoid. So for us, with our long-term time horizon, we don't know what the price of a commodity is going to be five to 10 years into the future. So if the value of a company is dependent on the underlying price of a commodity, that's probably not going to work for us.
43:16We tend to stay away from things that are highly levered because it makes those values really unstable over time. And then we tend to stay away from things that are highly regulated by various government entities. And so while we're global in nature, we're willing to look anywhere, there are certain countries where if there isn't the rule of law or we don't have recourse to the assets, probably not going to invest. And how do you think about those different risk factors in your portfolio? We ultimately think risk is not knowing what you're doing. We're going to have controls, right? So there are certain limits on how much we'll have in an industry exposure, how much we'll have in an individual position.
43:49But really, by focusing on a few things and knowing those things really well, we limit ourselves to what we believe to be only the best businesses in the world. So we do get some of the benefits of diversification. I think you get most of them in eight or 10 names. But again, it's that quality bias that if you combine long term and quality, it really tends to bail you out in the long run. If bankruptcy risk is almost zero and you have a company with some form of dominant competitive advantage in its niche, it tends to do pretty well over the long run. You mentioned at an early age learning from your mother about covered calls, and that's something that you add to your investing.
44:25So how do you think about using covered calls in the approach? When we think in terms of these ranges, the wonderful thing that the public markets offer us is this product that allows us to kind of take advantage of those. So as a stock begins to drift down towards the low end of our valuation range, we, in essence, can make a pre-decision to purchase that company. On a day when we're calm and we're rational, we can actually write put options to enter that position. And what it does is, one, it solidifies our decision-making and it forces us to sharpen our pencils in advance. Two, it helps our team to have something to actually do so we get to write these options consistently over the weeks, which is really important, actually, in a shop where you have ultra low turnover, you wouldn't believe the human proclivity to just to want to do something.
45:12You feel like you're adding value because you're doing something. And so getting to write these options gives us that. And then ultimately, it helps us to generate a little bit of yield where we would just write limit orders. We're very hopeful in the long run to be able to look back and say, hey, we're more than covering our management fee with this options writing. Obviously not going to promise that and we'll see what happens, but that's helpful on entering positions. And then if stocks move towards the high end of the range, we can do the reverse. which is writing call options on these positions to exit.
45:42So again, we're generating that yield. And if it hits the high end, we'll exit. And we actually had the opportunity this year to do that. We were writing put options on Meta slash Facebook in November, and then the$90 or something, and then we turned around and we were writing call options once it got past 200 in March. And so we were able to kind of see the full investment cycle in the name where we earned a lot of excess yield, writing these options and got to take our position up and then got to exit the position. Never thought we would execute both sides within four months, but lo and behold, sometimes the markets do crazy things.
46:15How do you think about gap risk on writing these options? Meaning you write an option because that's a price you'd like to buy it, but something negative happens to the company and maybe you would have revised your estimate of where you'd want to buy it. And conversely, you're owning something, something really good happens that changes your assessment of what it's worth, but now you've pre-sold to that position? We think of it in the same terms if we just owned the business outright. That's risk, and there is risk associated with it. So we write very short-dated options, so the probability of something happening in the five or seven trading days that we have the option out there is lower.
46:51But again, if it happens, it would have happened if we'd owned the business in the first place. And we think most events are shorter-term in nature as opposed to destroying the thesis on these businesses over a five - to 10-year perspective. I'd say on the upside, that's probably rarer. I think the best example would be if you had some mid-cap company that suddenly there was an acquisition offer or takeout offer and it's way above your range. But I think our high-end range usually is high enough to where most companies aren't taken out. We kind of went back and historically looked at things. I think it was 5 % of the time acquisition, takeout offers were above the high end of our range.
47:25It's a rarer event, but it could happen. So what's that fundamental assessment has gone? and you've talked about idea generation using AI. What are some of the other ways you're thinking about this more modern way of applying technology tools to value investing? Well, obviously we're doing the easy stuff. So we capture all of our internally generated data. So we record and transcribe our research meetings. We try to record and transcribe as many calls as we can. Every research report that we're doing, we're trying to do the next step of making those reports machine readable. So if we reach a conclusion, we're actually putting in, well, here's the source document where I reached that conclusion.
48:01Here's the paragraph. Here are the actual words that I used that inferred that this existed so that we can then take that, feed it back into our AI efforts to make us better in the long run. So even if we're looking at something like Amazon, no machine is going to find another Amazon out there because it doesn't exist. But it's still valuable for us to do the human work on that because as we learn, as Amazon discloses things, that goes back into our models. Obviously, we're going to try to use it to evaluate our own decision-making. So sometimes we're like, oh, who said this? Who said that? Why did we think this?
48:32And we can go back and we can review that. And it's very objective because you can actually not just read it, but see and hear what someone said and try to improve our decision-making over time. But I think the real thing for us is kind of these next steps, which is one, every company produces this incredible long tail of information. And there's no human analyst out there, if they're looking at a company that's been around for 10, 20 years, who can read every 8K and every piece of information that that company's put out, but the machine can. And so as we teach it, what are the things we're really looking for that are positive or what are the red flags?
49:06It can go through that long tail of information and ensure we're not missing something. I think if you take it a step further, the really nice thing is we tend to look at the best businesses in the world. However, disruption tends to occur in the weaker businesses first. So if we have the machine watching for changes in these weaker businesses, it gives us a leg up to hopefully avoid disruption before it would impact one of our companies sooner. So that's really where we're going. We have a longer term plan, but I think it's one step at a time. Obviously, I think ChatGPT has brought a ton of attention to this space.
49:40We obviously use that in parts of our process, and we're looking for ways to apply large language models to what we do, and we'll have that. but I don't know if that's going to be a differentiator. So to take a step back from the investment program, as you're going to build a new business, everyone could look at the asset management business and say, wow, it's a crowded landscape, you're a new entrant, it might not be the type of business that you would have on your list of 100 best businesses. How have you thought about building a business in that landscape? Yeah, that is a great question. So we're very aware that it's only one out of three that kind of even make it to a certain point.
50:16That sounds like rolling the dice, but for us, there were a couple of things. One, we truly asked the question, are we going to build something of value that we think humanity needs? Because humanity does not need another asset manager, right? I mean, we need that. We need another hole in the head. There's just too many of them trying to extract value. We said, if we're going to do this, one, we want to have values that we think are worth reproducing. Two, we want to have a product where we think we're properly incentivized to do what the client wants, which is ultimately perform. Incentives really matter.
50:50And for us, we've seen too many firms that they become very successful, but they have a simple management fee and the incentive to really perform isn't necessarily there. And so we said, well, how do we combat against that? And so we have a different structure. We want to be performance fee based. We want to make sure that we're capacity constrained. And over time, as we grow, we actually want to drive our management fee down. So there's a lot of operating leverage in this business, if we happen to be in the 33 % of firms that do succeed over the long run, if we go from$100 million to a billion dollars in AUM, we don't up our costs by 10 times.
51:23So we want to be able to give that back to other people. It's having values. It's building products that we think are designed in a way to perform. It's properly aligning incentives to where people are going to want to do this for the long run. And then it's trying to get great people. I mean, one of the things I'll tell you is I can't do this by myself. I know that. And so I've said, who can I get around me that I want to be in that foxhole with who I think is tremendous And so we've built an incredible team. And then our board that we've been able to recruit. One of the things, Falcon had a board of advisors.
51:50We just said, wow, what if we were to take this board of advisors concept and try to find people who we thought were the best in the world at what they do that could help us navigate and do this at a really high level? Paul Black is on our board who's done this. If we could build something even a sliver as meaningful as what they've done, not from an AUM standpoint, but from the impact they have on their people and their community and the world, we'd be thrilled with that. We've got Stacey Havener, who has raised a lot of money for emerging managers, who we think is going to help us. Our board is amazing.
52:17Jim, I'd love you to take me through an investment example from the sourcing, through that work, how it got off your list, and it has a place in your portfolio. I'll give you a couple examples of things that have gone through our process. And I'm going to explain why they've made it or why they haven't made it. The interesting part probably is what has been sourced from our AI efforts, as opposed to traditional human efforts. If you look at our portfolios today, they're rife with some of the best businesses in the world that are also really well-known. Amazon and Google and MasterCard and Visa all happened to be discounted when we launched.
52:51And so we actually weren't excited about that because we said, oh, well, our portfolio is not that differentiated. And I think the best thing if you're a new manager is having that differentiated portfolio and it makes you look unique. But ultimately, we're trying to generate returns, not just have a differentiated portfolio that we can market. And on the AI side, at this point, we've got about 20 names that we've actually gotten onto the SCM 100 list, taking them through our process. But unfortunately, none of them to this point has also hit the low end of that valuation range. So some of them are kind of down there.
53:22And I think with our next round of flows, we may have a few that get in the portfolio. We may have one very soon where we'll be like, hey, this was generated by our AI list. But just to give you some real examples, so there's a company that's called Games Workshop. It's based in the UK. they make the game called Warhammer 40 ,000. And there is no nerdier thing in the world than Warhammer 40 ,000. It is a board game that's like World of Warcraft. We were just like, this is the craziest, dumbest thing we've ever looked at. But the machine just kept saying, hey, it's amazing. And so we go and we start looking and first thing you notice is, wow, they are 90 % plus gross margins on producing plastic.
53:58That's pretty amazing. Okay, these returns are just off the chart, but we don't get it. is there a competitive advantage here? We ended up going to some of their shops and visiting them to see what they do. And we quickly realized, okay, this is the only publicly traded religion in the world. Like I can take an ownership stake in a religion. These people are obsessed to the point where to play this game, if you've never played it, you actually have to spend hundreds or thousands of dollars purchasing these little models that you use to kind of move around the game board. And you have to build them yourself.
54:31You can't buy these models pre-assembled. So one, you're putting in tons of money. And then two, you're putting in tons of time and effort to craft this army to play this game. And you have this huge investment. It's almost like rushing a fraternity or a sorority. You have to put so much in to kind of get to a base level. You're very committed. And once you've got the thousands of dollars and hours put into it, those models aren't good for anything else other than playing Warhammer. But it's this community where people come together to do the same thing you do with video games, but you do it in person.
55:03and for these people who love it, it's a really exciting thing. It's their adult hobby that they love and again, we heard so many comments from people like, well, do people ever leave this? And they're like, yeah, sometimes people leave when they get married or they have kids but they always come back and their comment is, it's like, well, they're just so mad if they got rid of their stuff because then they have to buy it all again or oh, now this guy's a lawyer and he's like, now I can really do this. I can spend the money and finally build my great army. We didn't get it but when we got in and realize it's like there's almost this network effect of this game is amazing because they've opened these stores and they'll just build this community around the store and the numbers there.
55:41I mean, go look at Games Workshop and you'll just be like, these numbers are insane. The real question is, do they have staying power? And I think if you look at it, well, they've been playing this game for almost 40 years now. Maybe that's long enough for a staying power. And I think, again, we had a bias against it because we're like, we don't play the game. We don't understand it. I think that's a great example of one, both from a numbers perspective and qualitative. So when you've done your work on that, but it's not cheap enough for you to buy it, do you then have to conclude, well, the market's already known what you figured out?
56:10That's a great question. Frankly, I don't care because I'm hoping for a point in the future where we do then have a divergent view. I think it's a great business and hopefully one day we'll have the opportunity to buy it at a discount and then we can own it for a long time. So whether the market's figured that out or not, no skin off our teeth. If we have a full list of 100 names, We only need one or two to have that type of a discount each year for us to have a really successful investment philosophy and process. So that's our goal. We know a lot of names on that list. They're never going to get discounted.
56:40These are some of the best businesses on earth, and they don't always trade at huge discounts. So that's fine. We don't need them. We just need a couple. All right, Jim, I want to turn to a couple of closing questions. What is your favorite hobby or activity outside of work and family? I've got a lot of hobbies and activities, but if you look at what I spend most of my time doing. It's playing chess. I guess I love it because it's perfect information. There's not as much uncertainty as what we do day in, day out. It's kind of nice because there's always a right move in chess. The question is just, can you find it?
57:11It's been a real, real obsession for about four years now. What did you dream about doing when you were a kid? I wanted to be the captain of the USS Enterprise. I need Elon Musk and Jeff Bezos to get their act together, move this thing forward and maybe I can have a late life crisis and pivot to something else. What's your biggest investment pet peeve? It's really that our private equity brethren don't have to mark to market. People want to compare private equity performance to public equity performance. And some people out there who I don't think understand the math actually use sharp ratios to compare them.
57:45That's just crazy. I'm like, for crying out loud, if I could value my own book, my sharp ratio would be a whole heck of a lot higher than it is since I have to mark the market. What's one investment mistake you made that you'll never make again? I think he gave you the example of Apple earlier that really changed it for us, which is this idea of if we truly have quality, valuation matters, but let's be humble and realize that the upside can also be much better than we think it's going to be, just like the downside. I mean, again, these ideas and opportunities are so rare. When you get one, just hold on to that rocket and ride it until it really gets to the point where you're like, okay, this doesn't make any sense anymore from a return perspective.
58:24Which two people have had the biggest impact on your professional life? Well, I already mentioned Rick Berman, who obviously played a big role. I'd say two other people. There's a guy named Bill McDonald, who's also on our board. He's a former professor at Notre Dame, really well known in the industry because he and another professor there named Tim Loughran actually created the bag of words approach for sentiment analysis. So, I mean, he's worked at places from Citadel on down, trying to help them really develop that. So for us, great member of our board, because he's the fusion of both classic investment discipline and artificial intelligence data science.
58:56But he taught the applied investment management class at Notre Dame. And when I was a part of that, he tore me apart. I mean, it didn't matter what work I provided to him. It was never good enough. I mean, just ripped me to shreds and forced me to do things at a level I had never done before. And frankly, have never really been forced to do a lot of other places. I thought he hated me at the time. I thought I was a terrible student. Only later I found out he pushed me so hard because he thought I really had something. And I'm so grateful to him, though, because a lot of the things I learned from him, I helped implement at Vulcan, and ultimately we've implemented at Saguaro.
59:30So I think if you look at our valuation, a lot of it comes from Bill McDonald. So real thankful for him. And then I have to call out C.T. Fitzpatrick. I just really admire him. Obviously, I would not have the opportunities that I have if it weren't for Vulcan Value Partners. and the ability to come in, learn from him, not just how to run a great investment process, be quality focused, but also how to build a great firm, how to treat your people the right way. We always talked about at Vulcan. It's like in the industry, there's the black area, there's the white area, and there's a little bit of gray.
1:00:03It's like, man, we want to be so far over in the white that we're not even close to the gray. And seeing someone live those principles out, I mean, obviously those principles were important to me, but I didn't know if people did that in the investment industry. and just seeing the way he acted and behaved, just tremendous. I just think Falcon and C.T. are set for a great second act, really cheering for them and just so thankful for the role they played in my life. What was the best advice you ever received and what context did it come to you? So actually, this is a funny one. I listened to a sermon by a guy named Tony Campolo, who for a long time was a sociology professor at Eastern University.
1:00:37And he had this one talk that he would give again and again and again on what can you learn from a 100-year-old? And I don't remember everything he said, but there were two key points. So they'd done this study where they interviewed, I think it was like 10 ,000 people who were 100 years old or older over a very long period of time. So it's just this incredible, can you get wisdom from these centenarians? Again and again, they came back saying the same things and they kind of grouped it into these core points. And the two that really stuck with me were, number one, these people said, I wish I'd paused and reflected more in my life, really given thanks and realized what I had.
1:01:12in the moment, the people, the relationships, et cetera. Really tried to take that to heart and through my life, pause and reflect and give thanks, be grateful for what I have. And then two, it was this idea, they all said, I wish that I had risked more. I wish that I'd gone for it. I wish I'd gone after that person I was interested in, or I wish I'd taken that dangerous opportunity. And I've tried to live my life that way. That's why I went overseas to do humanitarian work. And a lot of people thought that was a dumb idea, but I said, I want to do this. I'm going to regret it if I don't. That's why I went for my wife and she thankfully said yes.
1:01:47That's why I tried to transition back into doing equity research. And ultimately, it's why we took the risk to start Saguaro, even knowing, like you said, a lot of great investment firms don't make it. And we don't want to be, as Jeff Bezos says, 80 years old, looking in our bed, reflecting on what we wish we'd done. So great advice and have tried to live that out. All right, Jim, last one. What life lesson have you learned that you wish you knew a lot earlier in life. I hope this one's appropriate, but my wife and I, we have four kids and we've changed tons of diapers over the last 10 years and we've developed something we call the poop principle.
1:02:20It's real simple. If it smells like poop, it is. And number two, if you don't do anything about it, it's only going to get worse. So listen, you know, if you're dealing with some crap in your life, just deal with it, get it done because it's only going to get worse. It's not going to go away and it's going to continue making things unpleasant for you. Well, Jim, thanks so much for taking the time and sharing the story and just wishing you the best of luck on this new venture. Ted, I really appreciate it. Thanks for listening to this Sponsored Insight. Sponsored episodes are paid opportunities for another 12 managers a year to appear on the podcast.
1:02:56If you're interested in telling your story in front of the largest audience of investors in the industry, please email us at team at capital allocators.com to apply for one of the slots.
From the publisher
Today’s Sponsored Insight features Jim Falbe. Jim is the founder of Saguaro Capital Management, a newly launched value-oriented investment firm spun out of Vulcan Value Partners that blends traditional value investing with modern AI and data science inputs.
Our conversation covers Jim’s path to value investing, experience at Vulcan, introduction of AI automation into the investment process, and founding Saguaro. We discuss sourcing the best businesses in the world, researching investments, making decisions, constructing portfolios, and applying technology tools to value investing. We close discussing the foundation for long-term investing at Saguaro and an investment example.
For full show notes, visit the episode webpage here.
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