In short
Martino Cadoni (CFO/finance leader) explains how finance should accelerate companies, why balance-sheet management matters, and how high valuations and deal structures (especially preference shares) can backfire for tech unicorns. He also discusses IPO/fundraising readiness, the impact of interest rates on fintech valuations, and how AI companies should think about revenue uncertainty and AI cost/forecasting.
Guest backgrounds
Martino Cadoni built IPOs; at 35 he took Moneta Money Bank public in a $749M IPO (largest Central Europe banking listing that year). He helped structure major Klarna transactions during market chaos and is now CFO of DeepL (European global AI company). Career includes General Electric (GE leadership finance rotations), G Capital, HSBC (deputy CFO/strategic finance), and Klarna.
Key claims
CFOs are strategic partners, not spreadsheet operators. Private markets allow faster experimentation than public-company constraints. Many startups mismanage cash timing (pay invoices too early/late) and FX. High valuations can create “zombie unicorn” outcomes when preference-share thresholds block future fundraising. Interest rates raise fintech cost of capital and reduce loan demand.
Notable examples
GE ConvertTeam integration found $20M FX savings; Hungary mortgage law required revaluing Swiss-franc mortgages in two weeks; GE treasury system consolidation from 100 to 20 systems. Klarna avoided preferential shares due to banking capital rules (Basel/prudential). Revolut is cited for diversified revenue mix (fees vs interest).
Written by AI. May contain mistakes. Listen to the episode to check what was said.
Chapters
Tap a time to open that second in VOThe Role of a CFO
0:49 to 1:26
Explore the multifaceted role of a CFO beyond just spreadsheets.
“Thanks for having me Guillaume, it's a pleasure.”
Career Journey in Finance
1:26 to 4:10
Martino shares his diverse career journey through top finance roles.
“finance should be an accelerator and not a brake in a company, right?”
Learning from Challenges
4:10 to 7:13
Discover how Martino tackled various complex financial challenges.
“For example, when I finished those programs, the head of the program was Cosema Shipchandler, who is now the CEO at Twilio.”
Applying Lean Principles
7:13 to 9:12
Learn how lean principles apply to high-growth environments.
“because the modus operandi is very similar.”
Transitioning to Startups
9:12 to 11:28
Martino discusses the transition from corporate finance to startups.
“And can you explain maybe what's a treasury system and how things got improved on that side?”
Optimizing Financial Operations
11:28 to 14:00
Key strategies for optimizing payments and managing finances.
“So understanding the treasury side of things, how to optimize cash flows, I think that's something which I learned during those days.”
Optimizing Payment Timing and FX Management
14:00 to 16:44
Learn how to optimize payment timing and manage foreign exchange risks effectively.
“So most companies, they pay a lot of invoice too late and a lot of invoice too early.”
Navigating Fundraising and IPO Readiness
16:44 to 20:55
Understand the key similarities and differences in preparing for fundraising and IPOs.
“and how much revenue you expect in that currency.”
Impact of Interest Rates on Fintech Valuations
20:55 to 24:07
Explore how interest rates affect the valuations and operations of fintech companies.
“The valuation per se is obviously a function of different things.”
Managing Investor Relationships During Valuation Drops
24:07 to 28:05
Learn strategies for managing investor expectations during significant valuation declines.
“So there is a funding and that's why you had a double issue in fintech because one is what I just described, where it's about the deposits.”
Show all 23 chapters
Understanding Preferential Shares in Banking
28:05 to 31:39
Learn about the implications of preferential shares on banking capital requirements and valuations.
“Yeah for prudential this comes to Basel regulation to prudential rules where because you are responsible for the money from the public you need to have equity against your assets in order to meet these requirements.”
The Risks of High Valuations
31:40 to 34:04
Explore the pitfalls of high valuations and preference thresholds for tech companies.
“they have these preference share thresholds, which now put them in a corner, right?”
Managing Investor Expectations
34:05 to 38:25
Discover strategies for managing investor expectations during funding rounds and down rounds.
“Well I mean I would say every case is quite different definitely the board is involved in this type of things.”
Building a Concentrated Cap Table
38:26 to 41:05
Understand the advantages of having a manageable and concentrated cap table for investors.
“Sometimes you can do it, you know, facilitating a secondary or like either through employees or with other investors.”
Choosing to Join DeepL
41:06 to 42:00
Hear about the motivations behind joining DeepL and its impact on AI innovation.
“Because you had a lot of choices, I assume.”
Joining Deeper: Motivations and Opportunities
42:00 to 43:58
Learn about the key factors that motivated the speaker to join the AI company Deeper.
“So the fact that Deeper is a global AI company built in Europe was definitely a big incentive for me to join.”
AI Costs and Business Model Challenges
43:58 to 46:41
Explore the financial complexities and uncertainties in AI business models compared to traditional sectors.
“Can you maybe like give the difference in terms of cost?”
Comparing AI to the Dot-Com Bubble
46:41 to 49:42
Understand the differences between the current AI landscape and the dot-com bubble's impact on business.
“makes very difficult also to forecast because how can i forecast my revenue in the next five years if we don't even know in the industry how everyone is going to build the customers.”
Navigating Competition and Building Defensible Solutions
49:42 to 51:49
Discover the competitive landscape in AI and the importance of focusing on solving real customer problems.
“And I think those companies, and Deepol as well, leading the charge and disrupting those industries from within, it is something which will have a lasting impact.”
Reflections on Career Choices in Public vs. Private Markets
51:49 to 55:40
Gain insights on the constraints of public companies and the benefits of working in private markets.
“I think, to be honest, I truly love private markets and building and scaling companies.”
The Cost of Short-Term Focus in Business
56:00 to 57:23
Learn how short-term financial strategies hinder innovation and growth.
“I'm going to redeploy the cash for innovation and technology.”
Closing Reflections and Gratitude
57:23 to 57:35
Hear the host express gratitude for the insightful conversation.
“I think it was a super interesting conversation and I'm super happy that you joined Billions.”
Connecting with Martino Cadoni
57:35 to 57:52
Discover how to follow Martino Cadoni for industry insights.
“So, you know, everyone can follow me, DM me.”
Transcript
Automatic transcript. May contain errors.0:00Finance should be an accelerator and not a brake in a company, right? Speed is as important as quality. Most companies, they pay a lot of invoices too late and a lot of invoices too early. In private markets, you can really experiment and try to change the status quo in a way that in public companies you cannot do it.
0:22Martino Cadoni:Today on Billions, I'm sitting down with Martino Cadoni, the guy who builds IPOs. At 35, he took Moneta Money Bank public in a$749 million IPO, the biggest banking listing in Central Europe this year. At Klarna, in the middle of market chaos, he helped structure one of the largest transactions in the company's history and now is the CFO of Dippo, one of Europe's leading AI companies. Martino, welcome to Billions. Thanks for having me Guillaume, it's a pleasure. It's not often that we discuss with CFOs. So I really want to understand a little bit more about how do you see the career of a CFO? Because you went from G Capital to HSBC to Klarna to Depot.
1:10Martino Cadoni:And a lot of people assume that CFO or like the CFO job is just about like spreadsheet. So can you maybe walk me through a little bit more about like your career path? and what does it take to become a finance leader like yourself? Yes, I mean, the first thing I always say to everyone is finance should be an accelerator and not a brake in a company, right? So the way I see the CFO role is truly as a strategic partner to the business, right? That's how I built my career. So I started at General Electric, GE, with the leadership programs And these programs are a bit less known in Europe, but in corporate America, they are really truly seen as some of the best CFO factories.
2:02And substantially, it works. The first two years after university, you get to rotate across the different areas of finance, across different geographies, across different businesses. For example, I started personally in Budapest in a G energy business. I was doing commercial finance for six months, working alongside sales, helping them from my finance perspective. And then moved to Italy, another different business, doing financial planning and analysis, working very closely. for example my boss's boss back then was Thierry Pieton which until recently was the CFO at Renault Group and now is the CFO at Metronix right so one of the major advantages of these programs you truly get to work with some of the best people in the industry across different countries across different businesses so you learn a lot of new business models very quickly right so I've done this for four years where every four to six months you get launched into a totally new space.
3:18You need to learn extremely fast. We were working truly 996. The only day off was Saturday. Sunday was a working day and you would be assigned to a specific problem to solve. And then you had just a few months to really identify the problem and solve it and implement the change. It was like doing a mix of investment banking, McKinsey and Harvard Business School type of things. Because on top of the day job, we also had exams, right? So we had classes every trimester and then a lot of training on leadership, strategy, corporate finance. So it was very intensive years, but some of the most rewarding.
4:09And again, one of the best things was really I was surrounded by amazing leaders. For example, when I finished those programs, the head of the program was Cosema Shipchandler, who is now the CEO at Twilio. right so you you get to learn from the best and the program had amazing alumni like for example john elkan uh with you know the the president of stellantis and one of the main main heirs of
4:40Martino Cadoni:the annielli's family and can you share like some of the example of problem you had to solve because you mentioned like uh you know we were assigned like some problems and uh and so so what What are these kinds of problems? Yeah, I mean, I give you a few which are very relevant. For example, when I was, one of the rotations was in France. GE had just acquired a company called Convert Team. And I was part of the integration team. And I was responsible to ensure that the fax and cash management of the new company as part of GE, all the processes were compliant and they were you know according to sec rules according to ifrs and things like that for example i found there were issues with the process and we found over 20 million of opportunity in term of fx savings right another one i was in the netherlands i get a call and say hey tomorrow you fly to budapest because the hungarian government just issued a law that is banning any mortgage in non-local currency and we want you to go to hungary and you need to evaluate how big of a risk this is right so i jump on a plane go go to budapest uh i got handled uh like a huge database with all the mortgages in foreign currency mainly was swiss francs and i had to revaluate in two in just two weeks i had to revaluate uh like a multi-million dollar reserves which then got adjusted that then was announced to the in the earnings call of g another time i was in russia for example we had a customs compliance audit So I had to ensure that no employees or no government officials were doing anything against the rules.
6:45So very different scenarios, very different areas. But you really, truly learn how to solve problems, first principles, how to work independently, high agency and in a totally different environment, which I think for me has been a huge advantage for then transfer to private companies and more startups, scale-ups, because the modus operandi is very similar. We were working within GE programs with the lean startups and Toyota factory principles, which are some of the best principles if you work in a high-growth environment.
7:30Martino Cadoni:Can you share how these principles apply in real life? How does that look like? Yeah, I mean, it's like UI, for example. Yeah, all things like agile working, like daily stand-ups. You have a weekly retrospective, always really trying to, whatever you do, usually go back and understand what went well and what should have done better. than extremely frequent feedback like you would have every week or every other week one-on-one and getting feedback about your performance what you can improve on and what you are good at i think this extreme frequency of feedback makes you a better person and a better professional right and then it's truly a lot also about processes right so every time we will get us to jump into a new problem space.
8:28You were to map the process step by step. For every step, you were to identify what are the risks, what are the controls, and then how you can automate the process. So there was no AI back then, but we did a lot of automation work exactly using those principles. For example, when I was in the US in the G treasury, we had over 100 treasury systems across GE because GE was a huge company. We had to consolidate. And after four months that I was there, we decided to go down from 100 to 20 systems. So again, same principle. There was no AI, but the logic were the same that we are facing today.
9:16Martino Cadoni:And can you explain maybe what's a treasury system and how things got improved on that side? Yeah, I mean, so a treasury system, usually you're in a big company, you have multiple bank accounts, right? These bank accounts need to be managed. And usually there is a treasury system, which is like where you manage these bank accounts from, right? Because GE was a combination of a lot of M &A acquisitions, over time, the amount of these management systems exponentially grew, right? We obviously drive friction, extra cost because you are paying multiple providers. So there was an opportunity to consolidate and improve processes.
10:00And that's what we did.
10:03Martino Cadoni:Okay, nice. And I think at G, you did around like 20 exits and IPO readiness work. But also at HSBC, you were like a deputy CFO. And I think the business unit was around like 2 billion. how do you think like this uh these corporate jobs like kind of like help you transition to uh to startup like what are the things that you kept and also the thing that you had to unlearn to make that transition yeah i think also what what you keep is the depth of analysis that you need to do because the devil is in the detail when it comes to value creation optimizing the outcome of an M &A exit or an IPO, really, you really need to go deep.
10:51And I think one of the things that is often underrated in tech is the balance sheet. Like every time I go and work with the companies, they are obsessed about the P &L, which is great, but you should be equally obsessed with the balance sheet because there is a lot of opportunities in a balance sheet. Obviously, depending on the business model, some more than others. But I think that balance sheet obsession is something that has benefited me quite a lot along my journey after public companies at Klarna, but also now at DeepL. So understanding the treasury side of things, how to optimize cash flows, I think that's something which I learned during those days.
11:41also because for example at the chsbc i was responsible for strategic finance meaning deciding how much buyback we should pay right how much dividends um we should issue right so managing the capital at the balance sheet of a company which were back then you know was doing globally 50 billion in revenue and add a multi-trillion balance sheet another thing i think a lender is institutional knowledge and also how to lead with central banks with institutional investors with other banks i think that ability to build and manage those relationships is definitely helpful in my today's job in time of what i had to unlearn definitely you know when you move to a scale up i think you need to understand be earlier when it's good enough because speed is as important as quality so you don't want to kill velocity because you want to be too perfect so you need to be to get more comfortable in the good enough and just move on right because speed is critical in private markets.
13:03So the one is definitely something to adjust. In general, be a bit less polished, right? Because again, it's all about speed. It's all about execution. And sometimes it's better to be slightly imperfect, but be fast.
13:19Martino Cadoni:And on the balance sheet obsession, can you explain a few things that you managed to optimize? or like if you had to go inside a company, like what are the things that you look for like directly and where you are like almost certain that there are like optimization that you can find? Yeah, like the basic stuff is like accounts variable, for example. I mean, all the companies that go, usually there are, because what happens in most company, you get an invoice, you look at the invoice and you go and you pay, right? Right. So. So and. But that's wrong because you need to understand when is the invoice due and what's the best time to pay that invoice.
14:05Right. So most companies, they pay a lot of invoice too late and a lot of invoice too early. Well, actually, you want to optimize and pay them a due date because if you pay too early, you are missing out on interest that can be generated with the extra cash staying in the balance sheet for longer. If you pay too late, then you are, you know, doing something which might undermine your relationship with the supplier. So optimizing the timing of the payment is usually an easy win. Okay. Then another thing which is usually underrated is FX fees, right? A lot of startups often they invoice only in one currency or in a few currencies.
14:54They don't really look at the effects until very late and high stage of maturities. So I think it's important actually there are easy wins there, right? and then things like in the checkout you can look at authorization rates decline rates and so yeah understanding anything about payments can save you a lot of times in general and when it
15:23Martino Cadoni:comes to like fx how exactly do you like manage the arbitrage of the currency so if we take like the example for example of euro dollar exchange rate it has changed quite a lot like in the last year or so so if you decide like to invoice for example in dollar like do you do you keep like your dollar in a bank account and and just like spend in dollar whenever you can and you you keep like same currency to avoid like change in fx or sometimes do you make arbitrage and say okay like the dollar is strong for now i'm gonna change everything to euro because i'm a european company and uh and when dollar is weak maybe i'm buying more dollars from my euros like how exactly do you make uh changes and arbitrage so first of all from an accounting point of view unless you are a trading company you should not be targeting to make money right is against the accounting principle You should be trying to hedge and offset, but not to speculate on the effects, right?
16:30Martino Cadoni:Okay. And what's critical here is if you have a good cash forecast process, you need to understand for each of the currencies, what are your upcoming payments to be made in the currency and how much revenue you expect in that currency. Because ideally, you want to match the currency, and you want to mesh maturity so that you know you need a lot of US dollars next month, you can do something to optimize that, right? I don't know if there are FX edging products that can help mitigate these FX risks. But often, step one, which is trying to forecast how much of the currency you have in and out, is already a good amount of money saved.
17:20Martino Cadoni:okay okay really interesting um i want to go back to like the a little bit of your like uh story at clarina because uh the ipo uh was a bit below like the the last valuation etc and of the fundraise so i want to understand like how do you approach a fundraise and how do you approach an ipo and how can you explain like the difference of valuation that can happen yeah i mean uh so there are a lot of similarities between the two processes both there are also differences the similarities is it doesn't matter if it's an ipo or fundraising or mna exit i always say you need to work about this general concept of readiness right so which means uh your house needs to be in order and across all the different areas, right?
18:16And from a finance point of view, obviously, the major things, particularly if it's an IPO, if it's an IPO in the US, is you have all this SOX framework, which is a long list of compliance rules you need to comply with, right? And for the rest, you need to have financial performance, which is obviously positive so it's growing but more importantly I think to be ready to be public you need to have a financial performance which is predictable with a high rate of confidence right because the last thing that retail investors or public investors want is a stock which is difficult to predict, right?
19:04And so it's always good to go public when you have a performance that, you know, you are growing, but you are growing in a direction which is predictable. You can then do what's, you know, the classic beat and raise. You are able to give strong guidance and you are able to meet or beat the guidance. Because if you fail to do so, then you are in trouble as a public company, right? and uh so then and to do so you need to have an equity story which is uh very clean very clear and so people fully understand what you are doing today and what you will not do tomorrow in order to create a value for uh for the shareholders and this process is super critical also in fundraising right because it's obviously important your today performance and yesterday performance but it's all about you being able to sell to the new investors what's your vision and now you're gonna go from where you are today to a place in three to five years where your valuation is at least three to five x higher because particularly in late stage that's the target for the investor the investor usually have five to seven years old in period and they want to make that 30 40 percent annual return the compounds so you need to be able you know to do a 3x or 5x in late stage before you go public or before your next your next round, right?
20:55The valuation per se is obviously a function of different things. And one of that, unfortunately, is also economic cycles. And that's why we have seen this ups and downs in different sectors. We've seen it in fintech, right? valuation were extremely rich between 2020 2021 and then in 2022 with interest rates going up and uncertainty in the macro and geopolitical scenarios and there was a big adjustment where some companies got impacted more than others, right? But I think each case should be also analyzed on an individual basis because there are some drivers which are specific to a vertical or to a specific company, right?
21:58When it comes to FinTech, the interest rate environment plays a huge role And that's what, you know, impacted the valuation of a lot of fintech in 2022 and beyond.
22:11Martino Cadoni:Can you explain like why the interest rate has an impact, you know, on valuation and basically like maybe share, you know, the narrative from an investor perspective? yeah i mean so very simple so what a bank or a fintech does or let's say a lending fintech does right you are taking money and then you are lending to somebody else right so it's very critical at when you are taking money at which rate at which cost you are taking the money to then give it to others. And what happens particularly if you are a bank and you have the ability to raise deposits from the public, so usually the cost of money for those deposits is a function of the interest rates which is set by the central banks.
23:11So if I'm a bank, you have a bank account with me and you put your money into my bank, if the central bank rates are very low, I'm
23:24Martino Cadoni:able to pay you a very low interest rate, let's say, I don't know, below 1 % or even close to zero back then. So for me, it's very cheap to take your money and then lending it to somebody else at good enough high rate. I can make money on the spread. But if instead of the zero point something percent, I need to pay you four or five percent because that's what the market dictates, then it becomes much more expensive for me to take your money and relending. Also, because most likely the spread they're going to make on that loan is going to be lower than it used to. And also there are demand of, yeah, people also will be less interested in taking a loan if the interest rates are so high.
24:16So there is a funding and that's why you had a double issue in fintech because one is what I just described, where it's about the deposits. but also there are a lot of companies in fintech which they don't have a banking license and therefore they cannot take deposits so instead of taking the money from you they take it from for example from private credit investors where they are much more expensive even and so you had fintech have worked with some of those as an advisor where they were trying to raise private credit money but because the interest rates were so high, they couldn't find anything below 15 % or 20%.
25:04But then you cannot do much when the cost of capital is so high. It's not really a good use of capital. So yeah, for fintech specifically, high interest rates, yeah, it's not a great scenario from a funding point of view, right?
25:23Martino Cadoni:And how do you edge yourself? Because obviously like the rate is not something you decide as a company. It's totally outside of your control. Obviously, you can look at the macro and try to predict a little bit where it's going, but it's very hard. So how do you edge yourself as a company? So the key is you need to differentiate your revenue streams. And for example, that's something that Revolut has done fantastically well, right? Because as a fintech, as a bank, you have interest revenue, which is highly dependent on interest. And then you have fee revenue, which is like fees, subscription revenue.
26:06And for example, Revolut has done a fantastic job because if you look at the revenue mix, it's highly differentiated across fees, interest and other things. So it doesn't matter what's happening in the macro environment. They are better prepared than others because they are so well diversified that they're gonna take advantage of any type of situation right and they can navigate uncertainty in much better than others and so then also on the products depending on the type of lending you you have you can also take advantage of the very high interest rates okay and how would you do it like
26:51Martino Cadoni:the interest rates are super high. How do you take advantage? Well, I mean, you can target shorter term lending where people are more open potentially to have higher interest rates. Okay. And when the valuation of Klarna went from like 45 to I think like 15, like how exactly do you do you manage like your investors because you know i think it happened to to a lot of startup as sp i mean scale up especially in that era where you know like they had to do kind of a down round etc etc but internally like how do you have like these discussions with the board like are investors protected with uh with um i don't know like preference share or like kind of like how how do you make it work for everyone basically so uh what i would say it really depends right and and that was one of the strengths of clarna right clarna never raised uh preferential shares or prefer yeah never issued preferential shares and this is another thing that i think people don't really know about fintech and banking right if you are a bank like a regulated bank right and you are subject to capital requirements which means that you need to put aside a lot of equity to comply with some banking ratios like i'm not gonna go into the details but there are ratios you need to meet in order to be able to keep operating as a bank right and so basically you need to have like some cash available for like certain reasons, let's say like because you're a bank so you need to operate and have like certain cash on your balance sheets.
28:47Yeah for prudential this comes to Basel regulation to prudential rules where because you are responsible for the money from the public you need to have equity against your assets in order to meet these requirements. What these rules say is that if you have preferential equity, so equity which is linked to preference shares, you cannot account fully for this equity against the criteria. So if a company like Revolut raises$1 billion, for example, and that$1 billion is common shares, then the full$1 billion can be used to comply with the rules so all good everyone happy right but if the one billion is subject to is a true preferential shares then actually that that one billion does not count to comply with the rules so it's kind of useless so it's great you raise one billion but it cannot be used to comply with the regulation and therefore it loses a lot of value and that's why you had cases like for example Klarna never issued a preferential share so always that common share which is great from a regulation point of view and then you have cases like Revolut that at the early stage they issued some preferences but then when they became they became regulated they decided that hey we cannot do this anymore and they issue only commercial right and and then as you grow and become public you can have a mix of the two because you have so much equity that you know you can optimize right because obviously a common share is more expensive because that's another thing people do not realize that happens and had happened during the the bubbles right Imagine you have two companies that are identical in tech.
31:00One issues only common shares, and one gives you the opportunity to buy preference shares. Which one of the two do you think is going to have higher valuation?
31:14Martino Cadoni:Yeah, the one with the preferreds. Exactly. So you had a lot of companies which they were raising at, they became unicorn, but they have a very high preference share thresholds. And then what happens is when the market turn upside down because of their preference thresholds, they became what we call zombie corn. They are stuck, right? Because they cannot raise at any valuation similar to the last round. they have these preference share thresholds, which now put them in a corner, right? While if you issued common share, yes, you couldn't raise a so high valuation back then, but you are free now, you don't have this preference threshold behind you, right?
32:04Martino Cadoni:So your advice for founder would be to never raise preferred and always have common? No, I think it depends, right? So prefer, and you never know, but obviously prefer is cheaper cost of capital. If you have a strong foundation as a company and you don't raise, you avoid raising a too high valuation, you can be smart that you can slightly better predict the trajectory. And prefer is great if you minimize the risk of down round, right? but if you go too far with the prefer then you can be in a tricky situation as it happened for many companies uh in the last few years right so i don't think there is a one-size-fits-all type of rule uh you need to optimize between dilution and other considerations um but i think as some people went too far with the preference shares and then they say I would rather raise at 1 billion with high preference thresholds than not raise at 600 million because of the you want to become a unicorn there are other type of incentives there but I think a lot of companies underestimate how bad can get if you raise a too high valuation with too high of a preference thresholds and i think actually that's another big learning from working with public companies is how do you manage downside scenario right because i think in tech and which is great i love it i'm a positive person by nature there is always this extreme positive attitude which is amazing but i think a lot of people they don't know they haven't seen how to manage downside scenarios so sometimes they take risk a bit blindsided without understanding what that means right i think deciding between common and preference is one of the things that in some case preference makes sense but i think people should think uh deep before making the decision rather than just go for it right and and when you have like a down round and uh and it's only common shares like how does that work from a board perspective like does the board has to approve the down round or is it something that uh the the founder can decide like uh i'm guessing it depends on the on the shareholder agreement but uh how exactly is is that uh is that is something like this decided internally because as you said like it's super important to manage your downsides and I assume that when you invested in a company at a super high valuation with common shares and they decide to do like a down run it means that you're losing money so like how exactly do you balance that negotiation with the shareholders?
35:12Well I mean I would say every case is quite different definitely the board is involved in this type of things. Usually it's a deep discussion between the board and the founders. And you also need to be strategic, even that, right? Because every time you raise money at specific valuation, you need to think about the next round, right? So if I'm a company which was valued 1 billion, let's say back in the days, then I say, hey, I need to do a down round at 500. I think you need also to think very deeply about what's the next round and what's your ability and your conviction to get to the next round and the valuation which makes sense for your investors, right?
36:07Because if you were value 1 billion and then you do a down round at 500 you have a new investor let's say you are you want to be my new investor at 500 i need to give you enough buffer so that you can make money uh you know from from my specific situation just like hey if it's 500 today do i have a clear path to 800 or back to 1 billion in in a couple of years because that's the math you as investors will do. It's like, hey, I'm going to invest at 500 only if I see a path to go back to 100 or to 1 billion. So there is every time you do, and that's, I think, another learning over the time. Every time you do these double transactions, it's not about the transaction per se, but what does it mean for the next transaction?
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37:10right and the next transaction will be a new round could be an ipo because you always want to give buffer to the investors and also you need to make sure you convince the investors so then if the valuation is too high and they don't see the upside they simply will not invest uh on you right and
37:31Martino Cadoni:how exactly do you like manage your relationship with uh the founder or management because obviously for people who are already shareholders they want to maximize like their upsides at every round like some people might do like secondary etc so you have like essentially different um i would say uh yeah everyone has different needs so a super early investors would want maybe this round to be at the highest valuation because they want to exit half of their position maybe the founder wants to do too diluted so how as a CFO because you're the one who's going to prepare for the next round so how exactly do you manage everyone's expectation and make sure that the valuation is not too high so the investors are actually like in it for an upside and are not just like the the bottom of of the one paying the highest valuation basically yeah I think another very important thing that's part of my job is to truly be close to those investors right is to listening to their needs to their feedback because as you said everyone has different needs right someone might be you know they're very patient capital so it's all good some others maybe they've invested in your company a long time ago and now they have their own lps pushing for an exit so how can you help those investors to make an exit.
39:03Sometimes you can do it, you know, facilitating a secondary or like either through employees or with other investors. In some other case, you need to explain what the situation is and you need to help them managing their own LPs, right? I think the best way as a CFO is not understanding only your investors needs but their your investors lps needs because at the end my job as cfo is very similar as the job as a gp in a fund because i'm managing my investors the gp is managing their own investors and often those needs and those questions are quite similar so the better you understand what's going on in the LP population of your investors, the easier it's going to be for you to support your investor and also to build that empathy, understanding, because a lot is also managing emotions, particularly in volatile markets.
40:10You need to be able to keep calm and to inject that calm across the investors so that they can keep and manage their own LPs. But I would say, yeah, communicating and managing them actively is very important. That's why I would say one advice to funder would say, try to keep your cap table manageable and not too crowded. Because, you know, now, for example, at DeepL, I'm very lucky because I have a fantastic cap table. It's very concentrated. So I don't have hundreds of investors. so I'm able to manage them almost one-to-one. I can have catch-ups and one-on-ones. But then if you have 100 investors or 200 investors, it's impossible.
41:03And then things get much more complicated, right? So I think it's good to have a more concentrated cap table if you can.
41:12Martino Cadoni:And why did you choose Depot? Because you had a lot of choices, I assume. you've worked at amazing companies, did IPOs, etc. So why did you decide to move to Depot? Yeah, I think several reasons, right? First of all, is the sector, right? So when I was definitely too young when Internet came up in the early 2000s, then I missed the mobile revolution because I was in banking and a jeep back then. Now it's really the era of AI. So I say, I don't want to miss this train, right? I'm young enough and really I want to be an active part of this new revolution. I want to be in the driving seat. So the fact that Deeper is a global AI company built in Europe was definitely a big incentive for me to join.
42:15The second one is Jarek, right? I'm very privileged because in my career I worked alongside amazing leaders, both CEOs, CFOs, founders, and Jarek is an amazing leader. He's obviously a scientist, so deep thinker, technical founder, but also most importantly, he's a great listener. He's very humble, down to hurt, and he really is a great leader that can really trust others. And he has built a fantastic team around him. So being part of this team, a word from him was definitely another big plus. And then another reason was the cap table, right? Being a CFO in a company where you have in the cap table investors like Benchmark, Index Ventures, ivbp iconic b2 venture gic itomico ontario teachers is like is a cap table second to none so the opportunity to work alongside these great investors learning from the best from legends in the industry like matt caller and danny raymer and and others again fantastic opportunity and then last but not least i think uh i truly think you know uh there is a huge opportunity in ai there's a huge opportunity in europe so being part of of a company which is still in the middle of this journey um it was like you know an opportunity i couldn't say no to yeah super interesting and um i'm quite
44:12Martino Cadoni:curious because I think I heard you like discuss also about the the costs related to to AI and we're seeing this you know with I mean there's a lot of controversy around like the models like requiring more and more compute like some people say that they will never be able to become profitable etc etc like you've been in companies that were like banking and based on software and And now you're like in an AI company. Can you maybe like give the difference in terms of cost? And how exactly do you like balance the cost of AI? And what's the long-term vision? And how do you make it align with the financial prediction, basically?
44:53Yeah, only from a financial perspective, then the business model is quite different, right? And I would say credit to FinTech. I would say as a CFO, as financial operations, I think in terms of complexity, sophistication, nothing beats financial savings and payments. The complexity there is huge. And it also comes from the regulations and all the constraints you have, right? Imagine if you are a bank or a fintech, the volume of transactions is in the order of billions every day. And if something goes wrong, you are in big trouble with regulators and stuff. So I think from financial operations, I would say a fintech financial safety is more complex.
45:52But what is more complex in AI is really the uncertainty about the business model. right like like for example think about billing right now there is a big debate in the industry and nobody has an answer yet uh what's the best billing revenue model in ai is it the traditional subscription per seat model people is now trying yeah starting to think maybe it's not the best for the high era then you have usage based billing which a lot of companies including us are adopting and then now it's like people shifting towards outcome based billing right can you base can you build based out of an outcome right so this uncertainty in the business model makes very difficult also to forecast because how can i forecast my revenue in the next five years if we don't even know in the industry how everyone is going to build the customers.
46:55If it's per seat, per outcome, per user-based. So there is a lot of variables coming into play. The second one is like the CAPEX. As you said, the big LLMs are spending billions and billions in development, and training these models. Here there is a very fascinating debate going on in the industry. Some people say, you know, those companies, those three companies are playing a different game and, you know, they have so much funding and they're going to lead like that technological advancement and then all the others will have proprietary models and specialize on something rather than having horizontal models.
47:52Others, very non-consensus investors, they think, hey, maybe we are too early in the industry, so that something very severe is going to happen at some point, and then there's going to be a reset like we had in the dot-com bubble, right? I hope it's not the case, but I've spoken to some investors who think that could be the case.
48:20Martino Cadoni:What do you think is the biggest difference between the dot-com bubble and what we're living now? i think i mean personally i see now the impacts on the ways of working and on the business models seems to be much more clearly defined also the ability of ai to be applicable to substantially everything in much faster way. I mean, I think it's clear AI is here, is here to stay. It's clear it can make a huge impact on productivity. While in the dotcom, obviously, there was the fragmentation of things that were popping up was, I think, a less of a clear use case. but again i was maybe too young uh to compare because yeah back then to have a proper comparison of the two but when it comes to ai i'm very convinced i mean this is uh easier to stay as there is not a bubble from a technological point of view if there is a bubble from a valuation point of view that's a different story but i think the technology is real and the technology easier to stay.
49:42And I think those companies, and Deepol as well, leading the charge and disrupting those industries from within, it is something which will have a lasting impact. And I don't see what whatever can stop this.
50:05Martino Cadoni:right and what do you think are like the the biggest uh threats to uh to depot well obviously it's a extremely competitive environment right and i think everyone playing in ai and knows this right i don't think anyone is safe right i mean we hear a lot about all the fantastic work um for example the legal ai companies are doing and then every other week though the general models are issuing like legal features and it feels that whatever you do you have one of those big three four that can easily replicate you i think so it's being very extremely focused um keeping calm and but again i think one big mistake we should avoid in general is trying to be suffering too much from this FOMO and go out and trying to build too many things because as you said this is very expensive and the capital is it is limited it doesn't feel is limited but it is so i think you need to be focused on real problems that the customer has and be the best at solving the specific problem and having a solution we have which has a lot of business context very embedded in the critical workflows so that then you can truly make a difference and you can be defensible because if you are a solution which is easy to switch then that's where trouble comes right and i think that's where a lot of companies will we need to be very smart on how they build the solutions right around the problem of the customers yeah i agree and uh i know we are almost like out of time so i think this is going to be my uh My final question, if you look at your career so far, what are the things that you would have done differently and also why?
52:26I think, to be honest, I truly love private markets and building and scaling companies. I think going back, I would have switched to private market earlier in my career. right i spent uh what 11 years in public companies before switching to the private dark side i think going back i would have definitely maybe moved i don't know after five six years in public companies i think it was enough i should have switched uh to startups and scale-ups earlier in my career Yeah, definitely. And I think that one is my personality really fits private markets. I love building things and experimenting and building, breaking, rebuilding.
53:17And I think this is more a private market startup type of thing, while in public companies you have a lot of constraints and limitations of what you can do or cannot do. So I think I would have enjoyed if I'd switched to private companies earlier in my career so I could have unleashed myself a bit earlier with these double things.
53:45Martino Cadoni:Okay, and what do you think are the constraints in public markets that people are not usually aware of but that you don't particularly like? Yeah. Well, obviously, it's all around the quarterly reporting. So everything is optimized a bit for the short term, which means you don't have much time to think about medium and longer term. and obviously in a public company, you have less room to experiment things because there are much stricter rules in the way you report things, you present things, right? I mean, when you are in private markets, if I want to report to the investors in a totally different way, it could be even an app, right?
54:40Now I could do an app on cloud, send the link to my investors that they can play with it. As a public CFO, you cannot do that. It's not like you cannot test the water, do A-B testing. You need to play very safe because obviously there are a lot of regulations you need to comply with. In private markets, you can really experiment and try to change the status quo in a way that in public companies you cannot do it. In fact, if it's true, as I read yesterday, that, you know, there is appetite from SEC to kill the quarterly reporting requirements. If this is done right, I think it would be a fantastic move so that the public companies can focus more on a medium and long term strategy rather than optimizing quarterly results.
55:35Because I think a lot of companies had made the mistakes just to please the public markets to avoid investing for the long term because of the public pressure. Only a few companies like Amazon and Apple had the courage, both of their strength to say, I'm not going to issue dividends. I don't care. I want to invest for a long time. I'm going to redeploy the cash for innovation and technology. They were able to do it. But a lot of companies, they were doing a lot of buybacks or issuing dividends just to please the short term. but these were billions that could have been used to innovate. I mean, that's what happened in banking, right?
56:23Revolut is doing a fantastic job and a big funnel time. And one of the reasons they are winning so big is that the traditional banks, they have wasted so many billions in buybacks and dividends in the last 20 years. All billions that could have been used to innovate and disrupt their own business model, they have known that because they've been very focused on the short time and now companies like new bank revolute they are eating their market share like crazy yeah i agree and i think it's
57:00Martino Cadoni:too late for them also like now it's yeah it's they will never go back from that it's not in their dna they can't innovate so it's uh they're they're gone but they're the cash to do it if But they wasted their cash for buybacks, dividends. And now it's too late, as you said. I agree. I mean, Martino, thanks a lot. I think it was a super interesting conversation and I'm super happy that you joined Billions. Where can people follow your updates or deeper updates? Yeah, I'm very active on LinkedIn. So, you know, everyone can follow me, DM me. I'm very open, always keen to learn best practices and industry insights.
57:46So follow me there.
57:49Martino Cadoni:Okay, awesome. Thanks a lot, Martino. Have a great day. Thanks a lot. Bye bye.
From the publisher
On this episode of BILLIONS, I'm sitting down with elite finance operator Martino Cadoni, current CFO of DeepL (one of Europe's leading AI companies) and the veteran strategist behind one of Central Europe's biggest banking IPOs.Martino cut his teeth in corporate America's legendary "CFO factory" the grueling General Electric leadership program, working relentless 996 schedules to solve high-stakes financial fires across the globe. From being flown to Budapest on a day's notice to re-evaluate multi-million dollar reserves in two weeks during a currency crisis, to managing capital and balance-sheet strategy as deputy CFO at HSBC, Martino knows exactly what it takes to build institutional readiness.In this masterclass, he pulls back the curtain on private vs. public markets, exposing the lethal structural mistakes tech unicorns make during down rounds and explaining exactly how legacy banking giants accidentally funded their own demise.In this masterclass, we break down:
- The GE CFO Factory: Inside the intense 996 operational rotation program that builds high-agency, first-principles problem solvers.
- The "Zombie Corn" Trap: Why raising capital at massive valuations with high preferred share thresholds completely paralyzes tech startups when the market turns.
- The Balance Sheet Obsession: Why optimizing accounts payable, invoice due dates, and basic payment timing yields instant cash flow wins that most tech companies completely step over.
- The AI Billing Paradigm Shift: Navigating the massive industry uncertainty around revenue models—from traditional per-seat subscriptions to usage and outcome-based billing.
- How Traditional Banking Lost: Why legacy financial institutions wasted billions on stock buybacks and short-term dividends instead of innovating, allowing Revolut and Nubank to ruthlessly strip away their market share.
TIMELINE :
- 00:00 – Finance as an Accelerator: The core value-creation thesis + who Martino is (from a $749M banking IPO to DeepL).
- 01:26 – The GE "CFO Factory": Rotations, the 996 schedule, the Budapest currency emergency, and the Toyota/agile principles behind high-agency finance.
- 10:34 – The Balance Sheet Obsession: Why tech over-indexes on the P&L, and the easy cash wins in accounts payable, invoice timing, and FX.
- 17:48 – Public Markets, SOX & the Cost of Capital: Building precise guidance, how interest-rate cycles dictate fintech lending, and Revolut's revenue diversification.
- 27:49 – The "Zombie Corn" Trap: How high preferred-share thresholds freeze startups when the market turns and the common-share advantage.
- 35:12 – Down Rounds & Cap Table Management: Pitching fresh investors a path to upside, and why a concentrated cap table lets you manage LPs one-on-one.
- 41:26 – Why DeepL & the AI Billing Shift: Joining Europe's AI race, and the industry struggle to move from per-seat to usage and outcome-based pricing.
- 50:13 – Defensibility & the Short-Term Trap: Avoiding FOMO, building embedded moats, and how legacy banks burned billions on buybacks while Revolut and Nubank ate their lunch.SUBSCRIBE👇https://www.youtube.com/c/GuillaumeMoubeche?sub_confirmation=1 ----------------------------------------------------------------------------------------Follow mehttps://www.linkedin.com/in/-g-/https://twitter.com/GuillaumeMbhhttps://www.tiktok.com/@guillaumemoubechehttps://www.instagram.com/guillaume_moubeche/



