2026年8月下旬随想
- Walker对宏观的担忧是,今天的市场可能正在反向重演2010年代:当年的股票同时受益于强劲盈利增长,以及从受压低起点估值倍数扩张带来的“漂亮双重利好”(“beautiful double whammy”);而如今美国国债利率处于“20至30年来最高水平”(10年期约4.5%,30年期更高,“财政部长正在干预并买入长端”)。 当前股权风险溢价(ERP)约4.5%,大致符合历史水平;但如果利率继续上行、ERP重新扩大至2010年代达到的6%,那么“P/E倍数将大幅下跌”。
- 他还质疑,股权风险溢价是否应当是加法项而非比例项:在他的例子里,6%的股权回报相对2%的美国国债收益率是无风险利率的3倍,而10%相对6%仅高出约66%。 他思考这是否意味着低利率环境下ERP应当收窄、利率上行时扩大,从而进一步放大估值倍数收缩风险;同时强调,这个话题“比他平时讨论的内容更偏宏观”,并非无懈可击。
- 利率上行直接冲击AI数据中心的经济模型:通常描述的结构是15年租约外加租户2个5年期选择权,租约净现值大致覆盖建设成本(他的例子是50亿美元),再加上一点用于支付开发商费用的风险资本——真正的押注是终值,而这部分“姑且称作免费”。 如果利率从4%升至5%,租金需要上涨约5%至10%才能弥补影响;由于终值落在15至25年后,折现后的价值也会缩水。
- 下行情景会让数据中心开发商遭遇双重打击:这些公司“15年前根本还不存在”,因此15年租约可能在第6年因租户破产而终止;而重新招租风险极其严峻——一份与AMD签订、每年NOI为1亿美元的合同,可能只能按大约2023年的经济条件租给Bitcoin矿工或其他次优租户,变成“每年1000万美元”,而这些数据中心的收费约为Bitcoin挖矿时期的10倍。 标准终值计算——推高NOI、套用10倍倍数、再折现回今天——依赖AI需求持续存在。
- 金融学101把逻辑闭环:利率上升会挤出投资,而数据中心和电力又是AI建设的重要组成部分,因此更高利率可能拖慢AI建设,进而触发信用和终值风险。 “如果利率再上升20个基点,我不认为事情会发展到那一步,但到了某个程度,它肯定会产生影响。”
- 两个案例显示,CEO可能为了个人资产负债表需求操盘资本配置:UWMC(Q2在一笔从未签约的交易上录得对冲损失、进行困境融资,以及Hunterbrook报道的做空者指控称分红是为支付Phoenix Suns费用)和Cogent(CCOI),Walker认为David Shafer在杠杆率上升后仍持续派发巨额分红,既帮助支付其Cogent股票和RSU的税款,也为遭遇追加保证金的华盛顿特区房地产组合提供现金。 两人都是创始人;Walker认为这种管理层利益错位虽然罕见,却是重大红旗,他现在正以此筛选公司。
- 识别“下一个 Mark Leonard”时,早期业绩往往掩盖了隐藏风险——“靠加杠杆、梭哈某个机会,一年内就能取得亮眼回报……Situational Awareness,我说的就是你。” 许多受人推崇的管理者其实只是“找到一个伟大主题并一路押注”,就像2000年至2008年的石油投资天才,周期过去后便再也无人听闻。Mark Brad Jacobs之所以让Walker印象深刻,是因为他在不同行业多次成功完成roll-up;但Walker也在追问,Mark Leonard的成功有多少来自Leonard本人,又有多少来自他对垂直软件的洞察。如果2026年4月对“SaaS末日”的担忧在2014年就成真,“历史会不会完全不同?”
1. 如果2010年代反向重演,牺牲品将是估值倍数
- Walker的铺垫来自他当天早上发布的股权风险溢价文章,这段内容录于8月26日(周三):2010年代中期,2%的美国国债收益率加上历史约4%的ERP,本应对应约25倍P/E,但股票估值却“徘徊在十几倍中段”;ERP已从4%扩大至6%。随后10至12年间,股票凭借强劲盈利增长,以及从这一受压低估值倍数起点继续扩张,取得了“10%出头的年化回报”。
- 他把这十年的部分盈利增长归因于Trump 1.0减税:企业税率从约35%降至约21%;与此同时,边际项目的盈利能力提升,也带来了额外投资效应。
- 今天的镜像情景是:10年期美债收益率处于“4.5%左右”,30年期更高;财政部长“正在干预并买入长端,以某种方式压低利率”;ERP则约为4.5%,大致处于历史均值附近。他的问题是:如果利率继续上行,而ERP也重新扩大至6%,那么“P/E倍数将大幅下跌”。
- 他的第二个疑问是,ERP是否真的应该随利率同比变化:6%的股权回报相对2%的美债收益率,是无风险利率的3倍;而10%相对6%仅高出约66%。这是否意味着低利率会压缩ERP、利率上行则推高ERP,从而进一步恶化下行风险?Walker始终留有余地:“我不会说这套逻辑无懈可击……这比我平时讨论的内容更偏宏观。”
2. 利率上行重写数据中心租约模型
- Walker描述的结构,适用于许多从Bitcoin mining转型而来的数据中心公司:向hyperscaler、NVIDIA、AMD、CoreWeave或其他租户出租15年,并附带2个5年期租户选择权;租约NPV覆盖建设成本(“如果这座设施要花50亿美元建设”),再加上少量用于开发商费用的风险资本。真正的奖品是终值——15至25年后重新招租,在他们看来“姑且称作免费”。
- 利率从约4%升至5%会带来两重影响:租金需要上涨“5%至10%”以维持NPV;终值由于位于15至25年后、需要“折现回今天”,其现值会收缩。没有人会只为了收回资本成本而建设数据中心:“谁会这么做?”
3. AI交易逆转时的双重打击
- 首先是信用风险:“这些公司15年前根本还不存在……你可能以为找到了一个能签15年租约的优质租户,结果第6年对方就破产了。”
- 其次是重新招租风险。只要AI需求保持强劲,租户就可能从续租选择权中获利。终值测算——一份与AMD签订、每年NOI为1亿美元的合同,按通胀推至1.2亿至2亿美元,套用10倍倍数,再折现回今天——依赖这些经济条件持续存在。如果“泡沫”破裂(Walker的限定是:“我不认为这是泡沫,但显然有时会变得相当火热”),下一个最优租户可能是Bitcoin矿工或其他参与者,按大致2023年的水平支付租金:“当时每年也就1000万美元。”而这些数据中心的收费约为Bitcoin挖矿客户的10倍。
- 他着迷于其中的循环关系:金融学101告诉我们,利率上升会挤出投资;数据中心和电力又是AI建设的重要组成部分;建设放缓后,信用风险和终值风险可能同时被激活。“我们还没走到那一步……如果利率再上升20个基点,我不认为事情会发展到那一步,但到了某个程度,它肯定会产生影响。”
4. CEO个人资产负债表主导公司资本配置时
- UWMC的Q2表现包括:一笔公司在整个Q2任何时点都未签约的交易所对应的对冲损失,让公司“吃了一记巨亏”,随后又进行了困境融资。Hunterbrook报道的做空者指控称,巨额分红之所以持续,是因为创始人需要用这笔钱支付Phoenix Suns。Walker表示:“我不知道这到底是不是真的”,但他怀疑其中可能也有“几分牛仔式操作”。
- Cogent是披露更清晰的案例:在整合Sprint交易、杠杆率上升后,CEO David Shafer仍持续派发巨额分红,远远超过继续分红合理的时点。Shafer披露了保证金贷款,以及一个正在遭遇追加保证金的华盛顿特区房地产组合。Walker认为,分红帮助他支付Cogent股票和RSU归属时产生的税款,同时也为该房地产组合提供现金。“去把Cogent的股价走势图调出来……看起来不太妙。”
- Walker现在寻找的是“典型的管理层利益错位”:这种情况并不常见,但一旦管理层看起来是在为自身需求而非股东经营资产负债表,就是重大红旗。两位CEO都是创始人,这可能带来一种态度:“这是我的公司,这是我的孩子,我想怎么经营就怎么经营。”他还指出,这也是激进投资者存在的原因之一。
5. 真要识别下一个 Mark Leonard,该怎么做?
- 话题起因是一位朋友发来的短信:3至5年前,市场上所有人都称某位CEO为“下一个 Mark Leonard”。这位认识他的朋友评价说,他是“好人,也非常聪明”,但最多只能打“B到A-之间”;Mark Leonard则是“A+”,朋友说到两人的比较时直接笑了。
- Walker的警告指向隐藏风险。就像根据职业生涯前10年给人贴“下一个 Buffett”标签,早期业绩可能完全没有反映所承担的风险:“靠加杠杆、梭哈某个机会,一年内就能取得亮眼回报……我说的就是你,Situational Awareness。”即便是Mark Leonard,观察10年也未必足够,因为一只股票可能从极低位置起步后被大幅推高,而这类业绩记录本身波动很大。
- 他把这个问题延伸到管理层判断:管理团队往往是出色的销售员,投资者——包括Walker自己——可能会接受“这是一次性事件”这样的解释;直到一年后,他们才会得出结论:“原来这些人是骗子。”个人关系和与管理层面对面交流,都不足以区分可持续的业绩记录与一个好故事。
- 许多受人推崇的经营者“只是找到了一个伟大主题并一路押注”:2000年至2008年的石油投资天才,在这个因子退潮后便不再受到关注。Walker称正在QXL的建材roll-up业务上陷入挣扎的Mark Brad Jacobs却很突出,因为他曾在不同行业多次成功完成roll-up。
- 即便讨论Mark Leonard,Walker也在追问:这种天才有多少来自Leonard本人,又有多少来自他对垂直软件的洞察?这是一笔绝佳的押注;“如果他选的是煤炭,就不会这么精彩。”截至2026年8月底,许多SaaS公司正从4月的恐慌中反弹,但Walker仍然“确实对终值有疑问”。如果“SaaS末日”不是在2026年而是在2014年发生,“历史会不会完全不同?”
完整逐字稿
I'm on for my monthly random ramblings for the month of August. I did one earlier this month and had a lot on my mind, so I said at the time, “Hey, this will probably be the first of 2.” I figured I'd come on for my bonus random ramblings.
I'm going to talk about 4 topics today. First, we're going to talk about a post I published today on the blog yetanothervalueblog.com. What a great blog. You should go check it out. I published a post there talking about the equity risk premium and markets today. I wanted to elaborate on that a little bit. Then I want to talk about public CEOs using weird capital allocation, sticking with the CEO's trend, and how you would know if someone was the next great CEO.
So, we're going to get there in one second, but first two things. A, disclaimer remind everyone that nothing on this podcast is investing advice. That's always true, but you know, probably particularly true today because it is just me rambling around with things that are randomly popping through my mind. So, just remember I'm rambling. Full disclaimer at the end of the podcast and in the show notes. And the second thing I wanted to say is this quick shout out to our sponsor. This podcast is sponsored by Tratta. Tratta is two buy-siders talking to each other. Tratta records it, anonymizes, and publishes on the web. I think it is just such a fantastic fantastic way to get up to speed follow any new name because it's two buy-siders who really know what they're talking about cuz they're following the company they they follow it closely enough that they say, "Hey, I want to spend an hour of my time talking to someone else who follows it closely." So, I think it's just such an awesome product and if you follow this podcast, I think you're going to like it too. So, go check them out at tratta. That's t r a t a.com. And with that said, let's get to the rambling. The first thing I want to talk about is the equity risk premium: bond yields going up over time and how that affects equities. I published a post on this, so you should go read the post. Oh, I should mention it is Wednesday, August 26th as I am recording this. Very broadly, my post this morning was talking about how, in the mid-2010s, let's say Treasuries were trading at about 2% annualized. Stocks should have been trading at something like 25 times price-to-earnings.
The way you generally measure stocks is through an equity risk premium. This is the added risk, the added return, you get for investing in equities. There's lots of math involved in that. You have to estimate cash flows and all that sort of stuff, but you can kind of say, “Hey, if, you know, the outlook for equities is 29% and outlook for Treasuries is 25%, then the equity risk premium there is 4%, right?”
Historically, the equity risk premium has been about 4%—a little bit more, but about 4%. Treasury bills had traded at historically about 5% over the past 60 to 70 years. They traded from 5% to 2% in the 2010s. Just on that, equities should have traded down to, let's say, they stuck with a 4% equity risk premium. They should have traded for a 6% yield versus that 2%, right? Two plus 4 is 6.
That would have implied, based on growth rates and stuff—and again, lots of assumptions—that stocks should have traded for about 25 times price-to-earnings. But they did not. Stocks hovered in the mid-teens, which is kind of where they have historically. The way you explain that is the equity risk premium blew up and went from 4% to 6%. That's the 2010s.
Today, Treasury rates have been all over the news, especially for the past month, as Treasury rates have screamed higher. They're the highest they've been in 20 to 30 years. The 10-year is in the 4.5% range, if I remember correctly. The 30-year is even higher. The Treasury Secretary is intervening and buying the long end to kind of suppress rates.
The reason I've been thinking about that is I've been thinking, “Hey, what if you have a reversal of the 2010s right now?” Hindsight is 20/20, but from the early 2010s until today, stocks were on an absolute tear. Part of that is earnings growth has been very strong. Earnings are very important here, obviously, but another part is that they were starting with a kind of suppressed multiple versus interest rates.
As earnings growth picked up, the multiple also expanded, and you got this beautiful double whammy of strong earnings growth plus multiple expansion. Stocks did low-teens annualized returns for 10 to 12 years from the mid-2010s to today, and that's very, very good performance, obviously.
I've been thinking about that today. The equity risk premium is not that high. It's at about 4.5% right now, so it's kind of in line with averages. What's really happening is earnings are super strong. Maybe I should be worried about an earnings-growth wipeout recession and all that sort of stuff. Anyway, all of that is in the dark hole.
Here's what I want to elaborate on. There are 2 specific things. The first is the equity risk premium. I've been thinking: If historically bonds traded at about a 6% yield and the equity risk premium was about 4%, then equities would, based on the implied math, do 10%.
When Treasury bonds trade down to 2%, if the equity risk premium stays at 4%—and remember, in the 2010s it went up to 6%—then equities should do 6% annualized, right? I've been thinking, “Hey, that seems strange, right? Should the equity risk premium be compressing as Treasury rates go down?” Because 6% is 3 times 2%, whereas 10% in my example is 66% more than 6%.
I've been wondering: When interest rates are low, should you actually be expecting the equity risk premium to compress and go down? Should price-to-earnings multiples be expanding?
Why is that relevant? Well, if interest rates are rising today—and again, they're not out of line with historical averages—but if interest rates are going to keep rising, could you actually be looking at the reverse? Everything I've said is based on the historical average, but if you see interest rates continue to rise, should the equity risk premium also rise?
If historically it's been 4.5%—we're at 4.5% right now—should it go back to 6%, as it was in the 2010s? Because if you see interest rates rising and the equity risk premium rising, price-to-earnings multiples are going to fall a heck of a lot.
I've just been thinking about that. I'm not going to say that's foolproof, and this is more macro than I normally talk about, but I've been thinking a lot about it because interest rates have been on my mind.
The other reason interest rates have been on my mind is the earnings number I talked about. Earnings growth has been unbelievable for companies in general for the past 10 years. Some of that is the Trump tax cuts from Trump 1.0, taking the corporate rate down from, I think, 35% to about 21%.
That's fantastic for earnings growth, right? It's not just that the tax comes down. The big thing is the tax comes down, but you also get some added investment effects as things that are on the margin at a 35% tax rate become very profitable at a 21% tax rate.
You've had this strong earnings growth for the past 10 years, and for the past 3 years you've had really strong earnings growth driven by the AI trade. I think the AI trade is interesting, too, because a lot of it gets started in the last remnants of interest rates being low. They're not as low as they were in the 2010s, but a lot of these things are getting started and funded right before the big interest-rate spike of the past, let's call it, year starts.
I've mentioned on this podcast a lot—the power shells, the data centers. A lot of these are former Bitcoin miners that flipped to data centers, right? If you follow these companies, the way they generally do leases when they lease out to a hyperscaler, NVIDIA, AMD, CoreWeave, or whoever they're leasing to, is a 15-year lease with 2 options for the tenant at the end of the lease—5-year options.
If you do the math on the lease payments that CoreWeave, a hyperscaler, or whoever is paying, what it kind of covers is this: If the plant is going to cost $5 billion to build, the net present value of the lease kind of covers the $5 billion plus a little bit of risk capital for the developer fee.
What the company is generally betting on—I mean, they will make a profit on the projects even at the end of 15 years if there's nothing left in that data center, right? They will make a profit on it, but it won't be huge. The real thing the companies developing these are betting on is the terminal value of the data center they've built.
They're betting that in 15 or 25 years, if all those options are picked up, they can re-lease it. That re-lease is, quote-unquote, free for them because the build cost, on a net-present-value basis, was covered by the hyperscaler.
Hopefully you're bearing with me. I understand I just did a podcast saying, “Hey, the story is the whole thing,” and now I'm diving into numbers and DCF, but whatever. The reason I've been thinking about that is interest rates have been going up. Let's just say they went from 3% to 5% over the past 18 months. You can correct me on that—maybe 4% to 5%.
It does 2 things to the AI buildout for these data centers, right? These data centers are big, big projects. We can talk about memory and chips and all that, but a lot of the money is going to the data centers and the power. If interest rates go from 4% to 5%, it does 2 things.
Number 1, the lease payments that the company is making have to go up, right? A lease payment 15 years from now is worth one thing if interest rates are 4%, but it’s worth less if interest rates go to 5%. To counteract that, you need to jack your lease up by somewhere between 5% and 10% in the lease-rate numbers to counteract the effect of interest rates.
That’s number 1. Number 2, I just mentioned that the reason all these companies are building the data centers is that they get that terminal value for free, quote-unquote. If you said, “Hey, you build something, it’s going to work for 15 years, I’ll cover your cost of capital for those 15 years, and at the end you’re left with the asset, and that asset’s worth nothing,” you’re not going to do that, right? What person is going to do that?
You need to have a view on the terminal value of these assets and that they’re going to be worth something, or else you’re not going to do it, or you’re going to demand more in lease payments, right? If interest rates go from 4% to 5%, the terminal value of that asset goes down—or, sorry, the terminal value could be the same, but the NPV of that terminal value goes down, right? Again, because it’s 15 or 25 years out and you’re discounting it back to today.
The other interesting thing is: go look at what a Bitcoin miner was charging. I believe the Bitcoin miners cuz some of these Bitcoin miners did hosting deals with Bitcoin players. A lot of these data centers have come from Bitcoin miners, because Bitcoin miners need a lot of power for compute. They were the only people who needed tons of power for compute before the AI centers really started ramping up.
If you look at what they were charging on a dollar-per-kilowatt-hour basis, or whatever you want to call it, versus what they’re charging today to these AI players, prices are up about 10×, right? The other reason I think about that is: you’re betting on that terminal value, but you’re taking a lot of the risk that the AI buildout has blown up in the next 15 years, right? You’re going to get hit in 2 ways if you’re one of these data center players.
If the AI data center race is still going and all these data centers are still really in demand, almost all of them are contracting out with options for their tenants, right? The tenant is going to be very in the money on that option, and they’re going to pick it up. If it goes the reverse and the AI trade blows up, you’re going to get hit in 2 ways.
First, your AI tenant that gave you this 15-year lease might go bankrupt, right? None of these companies were here 15 years ago. You might have built this big project thinking you had a great tenant for 15 years, and in year 6, they’re bankrupt, right? That’s number 1.
The other way it hits you is when you’re releasing in 15 years, because now your tenant is not in the money on the option. Whenever I value these—or anyone values them—a lot of times I say, “Okay, we have a contract with AMD. It’s for 15 years. It’s for $100 million in NOI per year.”
In 15 years, we inflate it up from $100 million to $120 million, $150 million, $200 million, whatever it is, and we’ll put a 10× multiple on that and then discount it back to today, right? That’s what they use to calculate the terminal value.
My worry is that if the AI bubble bursts—and I use “bubble” in quotes. I don’t think it’s a bubble, but obviously it gets pretty frothy sometimes—if the AI bubble bursts, that lease that went for $100 million to AMD or whatever, if it had to go to a Bitcoin miner or the next-best player, going back to 2023, it would have been going for $10 million per year, right?
You could get hit doubly, where that releasing risk really hits you. Why does that matter? I’m tying this into interest rates because if interest rates keep creeping higher and the data centers are a material portion of the AI buildout, the data centers are going to start crowding out some of this AI investment, right? Could it slow down just because interest rates go up? It’s going to start crowding out investment.
If AI slows down, all of a sudden the data centers are going to start looking around and saying, “Oh, we’ve got customer credit risk. That terminal-value risk is looking a lot less attractive than we thought it was.” I don’t think we’re there yet, but if you took interest rates—just theoretically—to 100%, obviously we’d be there, right?
We’re not there yet, but I have been wondering: this is Finance 101, right? As interest rates go up, investment gets crowded out. Investments that you would have made when interest rates were at 2% don’t make sense at 5%. I’ve been wondering if rising interest rates start to have some impact on the AI squeeze.
I don’t think it’s going to get there if interest rates tick up another 20 basis points, but at some point it would have an effect. I have been thinking about the cyclicality and circularity of this. It’s very interesting to think about.
I’ve been rambling. I’ve gotten really wonky. Let me go to the 2 other things I wanted to talk about.
I did a post earlier this month, and there’s been lots of coverage of this on UWMC, that is, United Wholesale Mortgage. Their founder owns the Phoenix Suns. The company is a wholesale mortgage lender, and they got into this crazy bidding war.
In Q2, they came out and said, “Hey, we took this massive bath on a hedging loss.” They took this massive bath on a hedging loss because of a deal that they had lost. They were not under contract at any point in Q2, but they claimed they kept the hedges on and took a massive bath. They had to do a distressed raise—all this crazy stuff, right?
I’ve been thinking about that because if you listen to short sellers—and Hunterbrook has done a lot of coverage on this, and I think they’ve done very good coverage—UWMC was running its capital allocation to pay out big dividends. They were doing it not because they thought the dividends were sustainable, but because the CEO owned the Phoenix Suns and needed the dividend payments to pay for the Phoenix Suns, right?
I don’t know if that’s true or not. Those are the allegations. I think some of them make sense, but I also think that when you’ve got somebody who takes a massive hedging loss in Q2 on an asset that they weren’t under contract for, there might also be a little bit of cowboy in them, right? Who knows?
Go back to Cogent, CCOI. I’ve done several podcasts on Cogent. The company was paying a huge dividend even as its leverage was really starting to tick up as it integrated the Sprint deal. You can go find the podcast with Aaron Chen, who I think has done a really nice job covering the company, though obviously it has not worked out well.
They paid a huge dividend long past the point when paying a huge dividend made sense. I think there’s an obvious explanation why. The CEO said it on their calls: he owned a huge Washington, D.C., real estate portfolio, and he was getting margin-called over there.
I think he wanted Cogent to continue to pay big dividends so that he could fund tax payments on his Cogent stock and his RSUs as they vested, and so that he had cash coming off the Cogent stock to cover his D.C. portfolio. I’ve just been thinking about what happens when public CEOs run capital allocation that is designed more for their benefit and their personal balance sheet than for public shareholders.
It is extremely rare. The obvious answer is bad, right? Anytime someone does this, it’s classic management misalignment: management is doing something for the company that benefits them versus shareholders.
But it is quite rare, and I’ve been thinking about better ways to tell. How can you identify it? Because David Shafer was at Cogent was very clear, I'm having trouble with my Washington D.C. portfolio. You know, they disclosed the margin loans. He was very clear about about it, and it came back. Go pull up the Cogent stock chart. Now, there were other issues with Cogent, but go pull up the Cogent stock chart. Doesn't look great. UWM C never said, "Hey, we're paying dividends to fund the CEO's uh NDA purchase." But, it it it seems like what they did in hindsight. But, I have just been thinking like how could you evaluate this? Because I just gave you two examples, and these things are blow-ups, right? It's a disaster. How could you find companies that are being run for the management team’s balance sheet or the management team’s needs versus what makes the most sense for the company?
I don’t know, because companies do crazy things with capital allocation all the time. But there are 2 really clear examples, and I can think of a few more, loosely. I don’t want to rattle them off the top of my head and claim something that’s not true.
But it’s a pretty big red flag, and I’ve been thinking about that. And look, this is one of the reasons activists exist, right? “Hey, you’re running a capital allocation strategy that’s more designed for you than shareholders. Let’s go. Let’s get involved. Let’s change it.”
Now, it’s not lost on me that Cogent and UWM, you know, there is something to the fact that they were founded by their leaders. David is the founder of Cogent. Ishbia is the founder of UWM. There is something to, “Hey, you have the founders who, whether they control the company or not, are going to carry a lot more influence with it.”
You have the founders doing something that benefits them personally. And, you know, maybe there’s also an element of the founders looking at the company and saying, “This is my company. This is my baby. I can run it the way I want to.” But something I’ve been thinking about a little bit recently—and I’m going to keep an eye out for more places where management teams are kind of running the balance sheet for themselves.
Speaking of great management teams, the last thing that I’ve been thinking about is based on a loose text conversation. I think my friend who I was texting with listens to some of these, but even if he does, it was such a loose conversation that I don’t even know if he’d remember I was having it with him.
Let’s say this is the text thread. I’ll give you the background. My friend was talking about a company, and he was saying, “Hey, everyone in this company 3 years ago, 5 years ago, thought the CEO was the next Mark Leonard.” Mark Leonard is the founder and CEO over at Constellation Software, which is one of the best, if not the best-performing, stocks of the past 20 to 30 years, right? The Canadian software company.
Anyway, with this specific company, 3 or 5 years ago, everyone was talking about the CEO like he was the next Mark Leonard. He was going to build the next Constellation Software. And my friend said, “Hey, I knew the CEO pretty well. Good guy, really sharp. Anyone who thinks he’s the next Mark Leonard is completely crazy.”
In fact, he would say, “I would laugh at everybody any time anyone said, ‘This is the next Mark Leonard,’ right?” He’s not saying the guy wasn’t a fraud or a dope or anything. He was just saying, “Hey, this guy is somewhere between a B and an A-minus, and, you know, Mark Leonard would be an A-plus.”
That’s kind of where he was going. And I was thinking to myself, how would you know if someone was the next Mark Leonard, right? Because the thing with Mark Leonard is that he compounds this business over 20 to 30 years.
A lot of times, the person who is getting compared to Mark Leonard, and a lot of the wannabes, do start off with a great track record, right? What it is is they’re taking on hidden, enormous risk, right? In much the same way that every time someone puts somebody in a magazine and says, “Hey, this is the next Buffett,” based on the first 10 years of their career, I mean, the fantastic thing about Buffett is that he did it for 50 to 60 years, right?
A lot of times, when somebody says, “Hey, this is the next Buffett,” based on the first 10 years of their career, the next 10 years don’t look as good. A lot of times, you can get great results in investing by assuming a risk that you don’t even realize you’re assuming, or intentionally assuming a big risk, right?
You can get great returns in 1 year by levering up and YOLOing something. You’ll get great returns, but eventually it will blow up if you keep levering and levering and levering. You know, I’m looking at you, Situational Awareness.
How would you be able to tell early in someone’s career if they’re the next Mark Leonard? Again, with Buffett, at least you’d have the investment-returns track record. But with Leonard, it’s hard even over 10 years. The stock price could have started really low and gotten really inflated. These things are really volatile.
So I’ve been thinking—I mean, one of the common things I talk about on this podcast is, how do you judge management? How do you form relationships with management? You know, management teams are great salespeople, and as investors, I find most people—and I include myself in this—can get sucked in by a management team.
“Hey, why was this quarter bad?” And the manager says, “Hey, this was a one-time thing. It’s all part of the plan, you know.” And you say, “Oh, okay. I talked to the management. I looked them in the eyes.” And the management teams are always just taking us investors for suckers.
You know, I find what happens is you believe them until, after a year or so, you say, “Oh, these guys are liars.” And anybody new comes in, you say, “Those guys, you just can’t trust them.”
So, anyway, I don’t know where I’m going with that. These are my random ramblings, but I’ve just been thinking about how you separate out the track record for someone who’s great. Again, my friend was just talking about someone who was good, and everyone else thought they were great. My friend just kept thinking, “They’re good, they’re good, they’re good.”
I guess the other thing I would think of is, you know, a lot of the managers that people become enamored with, in much the same way that a lot of the wannabe Buffetts just have 1 strategy or 1 risk they’re betting against and make a lot of money, are actually managers who just found 1 great theme and rode it, right?
I think one of the interesting things about Mark Brad Jacobs, who is kind of struggling over at QXL right now—the building-products roll-up that he’s doing—is that he did multiple roll-ups in different industries and turned them into great successes. It’s very rare to find somebody who does something multiple times in different industries and has big successes.
I’ve been thinking, even with a Mark Leonard at Constellation, he bet on vertical software, right? That was a great bet, and it’s done fantastically. But that was a great bet. How much do you say the Mark Leonard genius is Mark Leonard versus, “Hey, he had a good industry insight”? If he had chosen coal, it wouldn’t have been as great.
There were lots of guys who were brilliant geniuses at oil when oil was going up from 2000 to 2008, or from 2010 to 2013 or 2014. And then you never hear from them again because it turns out, hey, they weren’t operational geniuses. They weren’t capital-allocation geniuses. What they were was people who had 1 bet on 1 factor, and once that factor stopped, it ended.
Constellation, you know, what would have happened if the AI trade—the SaaS apocalypse—had happened in 2014 instead of 2026? Would Constellation Software have been the same? I mean, we’re talking at the end of August 2026. A lot of the SaaS companies are bouncing back, have bounced back, and everything.
I think the huge fears of April—and I had some of these at the time—the huge fears of, "Hey, everybody's going to hire one software engineer and buy code all their internal software," I think those have moved to the side, though. There are some real terminal-value questions there that I’ve still got a lot of questions on.
But for a Mark Leonard, if you have that SaaS-apocalypse fear 10 or 15 years ago, does history look a lot different? It’s just interesting how the dice roll of the world and the environment you’re in can impact everything.
So, yeah, I think we’ve covered everything there. Those are the 4 things I kind of wanted to cover. Again, I’m just rambling. One of the great things about the post I put up about equity risk premiums earlier today or anytime I ramble on about random things, listeners reach out and they tell me what they think and sometimes I just say hey, thanks for that and sometimes they their emails really thoughtful and we'll have days, months, years long conversations on the topic. So, if anything in here struck a chord or you're interested in it, you know, always feel free, reach out, shoot me an email, shoot me a DM, and we can we can chat a little bit about it. So, that is my second random ramblings for the month of August 2026. I got some great podcasts coming up. My buddy Yaron Brook, I believe is coming on on Friday. One of the most popular guests hasn't been on in a long time. I think people are really going to look forward to that. So, we'll I'll I'll see you for the Yaron podcast in the near future, and we'll go from there. Talk to you soon. A quick disclaimer. Nothing on this podcast should be considered investment advice. Guests or the host may have positions in any of the stocks mentioned during this podcast. Please do your own work and consult a financial advisor. Thanks.