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Jon K | Valbitrage
209 posts

Jon K | Valbitrage
@valbitrage
Building a clearer way to think about investing Founder @Valbitrage Sharing what I’m learning
New York, USA انضم Mart 2026
42 يتبع15 المتابعون

@MarcosMillaYT Agreed $META looks particularly attractive after the most recent selloff
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@BrianFeroldi 💯. Better culture drives better outcomes. Better outcomes drive better returns
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Definitely a solid business and sticky product. But also not without some risks/uncertainties. The two I see are 1. changing unit economics of the business (higher production costs -> lower gross margins and new pricing model) and 2. valuation compression of software firms writ large. Thoughts on these?
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$NOW customer retention: 98–99%. Every year.
80% of revenue from existing customers.
80% of customers use multiple products.
Average contract value has DOUBLED in recent years.
It started as a help desk ticketing system.
Now it sits on top of Workday, Salesforce, Oracle, and ADP simultaneously.
The IT department sold it to the rest of the company.
Switching costs are so high that ITSM replacements happen every 10–15 years.
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@realroseceline That’s right and to find something truly mispriced means seeing a future that others haven’t caught onto. Not easy to do.
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There’s a big difference between a business and a stock, just like there’s a big difference between price and value. A company can execute perfectly, grow customers, expand margins, increase profits, and still give you a mediocre return. That’s because the stock is not just the business, it’s what you paid for it. If you pay too much, even great execution will deliver underwhelming returns for investors.
At the simplest level, your return comes from two things. Earnings growth and the change in valuation. If a company compounds earnings at 15% but the multiple falls from 40x to 20x, you end up going nowhere, 0% returns. The business is doing great, but the stock is worked against you.
Think about it like this. You buy a company earning $1 per share at 40x, so you pay $40. Five years later it earns $2, which is an amazing outcome. But if the market now values it at 20x, the stock is still $40 and your return is zero. The business doubled and you didn’t make money.
We’ve seen this with $AMZN and $TSLA where the businesses kept improving but the stocks went sideways for 5 years. Even with elite models like $SPGI and $MSCI the returns are terrible if you start from a high valuation.
That’s the trap. When everyone already knows a business is great, that greatness is already embedded in the price. From that point on, execution doesn’t create upside, it just justifies the premium you already paid. You’re not earning from surprise, you’re waiting for reality to catch up.
This is also why investing feels so confusing sometimes. You can be right about the business and still be wrong about the stock. The headlines look great, earnings beat, margins expand, and yet your portfolio doesn’t move. It’s not because you’re wrong, it’s because you overpaid.
The flip side is where it gets interesting. Some of the best returns come from good or even “messy” businesses bought at the right price, ie $CVNA. When expectations are low, you don’t need perfection, you just need things to be a little better than feared. That gap between expectation and reality is where superior returns are made.
Great businesses bought at high prices often require time, not brilliance. You’re waiting for the business to grow into what you already paid, which can mean years of sideways returns. Meanwhile, a less loved business with improving fundamentals can outperform because the bar was set lower.
So when you look at a stock, the real question isn’t just how good the business is. It’s how much of that goodness is already priced in today. What has to go right from here, and how much upside is actually left? The goal isn’t just to find great businesses. It’s to find mispriced greatness.
🌹
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@VJNCapital @qualtrim Agreed. The risks are really just operational costs of being giant successful companies (litigation and CAPEX requirements). Not existential threats
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Good flag on the $37.7B earnings distortion.
But don't miss the forest for the trees: even if you ignore the stock portfolio, the core business is accelerating:
✅ Operating Income: $39.7B (+30% YoY)
✅ Cloud: $20B (+63% YoY)
✅ Margins: Expanded to 36%
The "Other Income" had a great period but the Search/Cloud engine is still a fortress
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@InvestInAssets Twaddle is right. The best investors don’t draw that distinction, they just buy great companies with wide moats and good long term potential and good prices. That simple
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@basispointpod Not sure if I’d call it deep value - but these prices are definitely attractive
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Despite the growth, $META is still the "Value Play" of the Mag 7.
Forward P/E: Currently sitting <20x.
Historical Mean: The 10-year average is ~30x.
The market is pricing in "Capex Risk" but ignoring "Earnings Optionality." At sub-20x forward earnings with 20%+ revenue growth and expanding margins, the math starts to look very familiar to the 2022 bottom.

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Wall Street is panicking over $META increasing CAPEX for AI. 📉
Sounds like history’s repeating. In 2022, the narrative was “Zuck is burning money.” Today, it’s the same fear.
But here’s the reality: Meta has a history of high-conviction spending followed by massive operational leverage. AI isn't a cost—it's a capital investment with a clear track record of return. 🛠️

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Thanks for sharing. Worth noting that Buffett doesn’t really “time” markets in the macro sense.
He does pay attention to broad signals like:
- Market cap-to-GDP (the “Buffett Indicator”)
- Interest rates (opportunity cost of equities vs bonds)
- Corporate profit share of GDP
- Overall market valuations vs long-term growth
But he uses these mainly as context, not to time.
At Berkshire Hathaway, cash builds when:
1. valuations are stretched
2. opportunity set is weak
3. or uncertainty is high
And it gets deployed when specific businesses become obviously cheap (ie. In 2008).
Comparing idle cash to S&P 500 returns misses the point a bit. The cash is optionality, not a benchmarked asset.
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Warren Buffett has made some incredible market timing calls in his career
1. He closed his partnership in 1969, right before the "lost decade" of the stagflationary 1970s
2. He called US Stocks overvalued in 1999, right before the dot-com bubble imploded
3. He was "Buying American" in late 2008, during the Global Financial Crisis
He has been piling up cash at Berkshire Hathaway since 2020, but he has been wrong so far
If Berkshire had paid a dividend/done a massive buyback, returns would have likely been much better
That excess cash invested in S&P 500 2020 - 2026 would have done better than sitting in T-Bills yielding 4% - 5%.
Of course if we get another Great Recession, followed by a lost decade, this stockpiling of cash would seem incredibly smart...
I guess we'd see in a few years...
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@kejca One of my favorite Munger moments! Good reminder of how often we overcomplicate things
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The narrative shift for $GOOGL is officially complete. 🏗️
Q1 2026 earnings solidify what the 2025 rally signaled: Google is no longer just a Search business. It's an AI infrastructure leader.
The Key Drivers:
Cloud Acceleration: Revenue hit $20 Billion this quarter (+63% YoY). AI isn't just a feature; it's a massive, high-margin hardware and distribution play. ☁️
Vertical Integration: Of the "Mag 7," Google is the only firm with a fully integrated stack: Proprietary LLMs (Gemini) running on proprietary silicon (TPUs). It’s essentially a scaled, profitable version of the Anthropic/OpenAI model. 🧠
Valuation: Despite the rally, it still trades at ~28x earnings. With net income growing 81%, the "Search utility" label feels officially outdated. 📈
The risk isn't the tech anymore. It's simply the entry price. 🎯
#AI #Investing #Mag7 #stockmarkettrading

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Exactly. With 3.5B+ daily users, they’ve basically beaten the game on reach. Now it's about the ARPP (Average Revenue Per Person). That Capex is the price of admission to turn a 'scrolling app' into a hyper-efficient AI discovery engine. The Q1 33% revenue jump on only 4% user growth proves the ROI is already there.
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How do we know $META CapEx is worth it?
Well we won't know for sure for at least a few more quarters. But what we've seen so far is promising.
$META is a fairly mature business, and yet the core segment is still seeing substantial growth quarter after quarter.
Q1 26: 33% revenue growth
Q4 25: 24% revenue growth
Q3 25: 26% revenue growth
Q2 25: 22% revenue growth
While this isn't a direct proxy for CapEx ROI, it is very encouraging to see such strong growth mostly from ad/algorithm optimization. That is exactly the result you would be looking for when investing in these areas.
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@InvestInAssets Surprised not to see Meta on the list. Especially at these prices
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@NoelWieder That’s right. Peter Lynch famously said: ‘The person that turns over the most rocks wins the game’
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"I could make you 50% a year on $1 million."
That's Warren Buffett. The greatest investor of all time. And he meant it.
So what would he actually do?
He'd start with the A's.
Go through every publicly traded company he could find.
All the way to the Z's.
And then do it again.
That's literally what he did in the 1950s.
He sat down with the Moody's manuals and went through 20,000 pages. Twice.
He looked at every single business.
Sure, he didn't look very hard at some. But he looked at all of them.
And that made it just a question of turning pages.
On page 1433, he found Western Insurance trading at $3 while it was earning $20.
Ten pages later, on page 1443, he found National American Fire Insurance, trading at $27 while earning $29, with $135 in book value.
Nobody told him about these ideas.
There was no friendly broker or analyst who flagged this to him.
He had to find it himself.
And he found it by doing the work that nobody else wanted to do.
That's the whole secret, really.
The funny thing is, in 2005 he said it might actually be easier today than it was back then. Because information is more accessible.
You don't need to dig through physical manuals anymore. Everything is online.
The real question is just whether you're willing to do the work.
The second point is size.
Most investors who have played this game successfully just outgrew it. Their portfolio got too big to buy a $10 million business at 3x earnings.
But if you're working with a small account, you can go exactly there.
And that's a real structural advantage.
Sadly, most people with small accounts don't even realize they have it.
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@QualCompounders Honestly, hard to prefer one over the others. But agreed that MSFT is most attractively priced right now
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AI was said to be a bubble but the three top hyperscale's never got the message putting up amazing cloud growth in Q1 2026.🤯
🔵 $MSFT
Revenue: $37.0B (+33% ⮕ +40% YoY)
Operating Margin: 46.3% (Intelligent Cloud)
🔴 $GOOGL
Revenue: $20.0B (+48% ⮕ +63% YoY)
Operating Margin: 33.0% (Massive expansion YoY)
🟠 $AMZN
Revenue: $37.6B (+24% ⮕ +28% YoY)
Operating Margin: 37.8%
Which name is your favorite?🤔



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