But even the best of metrics can lead us astray since free cash flow can be created “out of thin air”.
In this thread we look how this can be done, and counter it with ADJUSTED FREE CASH FLOW.
Best enjoyed with a cup of tea 🫖
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As many already know, the math of FCF is fairly simple; simply deduct operating cash flows by capital expenditure.
Free cash flow = operating cash flow – capital expenditure
In short, FCF = OCF – CAPEX
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It’s widely acknowledged that this cash can be used by the company
i)Repurchasing shares
ii)Making acquisitions
iii)Paying out dividends
iv)Paying down financial debt
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Here’s where I like to think differently.
When company A acquires company B, the buyer (A) is laying down a lump sum of CAPEX the target (B) has already spent over the years (and some in goodwill).
Hence, it’s basically no different from spending capital on CAPEX oneself.
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Take serial acquirer IBM that’s used $60 bln for acquisitions since 2010 – one third more than its CAPEX of $45 bln for the same period.
Despite this use of capital, IBM’s business has been on a decline since 2010:
-Revenue -26%
-Gross profit -22%
-EBIT -59%
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To reflect the reality and entirety of capital outlays, it could be sensible to include acquisitions in FCF. Thus, the figures for $IBM would be as follows:
In other words, $IBM’s average FCF over 11 years has been $13.8 bln but after adjusting for acquisitions, only $8.4 bln – or 40% lower. Anyone relying on “headline FCF figures” would be terribly disappointed by such overstatement.
But Palo Alto Networks $PANW is no better.
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In 2020, Palo Alto Networks $PANW had the following financials that raises some questions:
- Net income -267 MUSD
- Free cash flow 821 MUSD
A difference of 1 088 MUSD?
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By looking at the cash flow statement, we see which items explain the difference. Mainly these are
1) ‘deferred revenue’ of 893 MUSD (typical characteristic for a SaaS company) 2) and ‘share-based compensation’ (SBC) of 658 MUSD
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SBC is oftentimes considered ‘non-cash expense’, but while issued shares are handed out with the left hand, the right is buying them back from the market.
To counter this dilutive effect, Palo Alto is spending real cash to buy back shares.
Not so ‘non-cash’ anymore.
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Here’s how the rabbit is pulled out of a hat and Palo Alto Networks $PANW can brag about their 30% free cash flow margins:
OCF $1,036 mln
- CAPEX $214 mln
= FCF $821 mln
- SBC $658 mln
= FCF incl. SBC $163 mln
(2020 figures)
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This is obviously nonsense. But the recipe for manufactured FCF figures seems to be straightforward:
1) Replace salaries with shares 2) Promote great free cash flow as an achievement 3) Quietly, counter dilution by spending cash to buy back shares
A look at Nasdaq 100:
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It gets uglier if we include acquisitions. In fact, much of the “FCF” ends up being a figment of imagination.
Palo Alto Networks $PANW since 2015:
OCF $6,112 mln
- CAPEX $810 mln
= FCF $5,302 mln
- SBC $3,438 mln
- Acquisitions $2,135 mln
= Adj. FCF -$271 mln
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Of course, some are masters of M&A, creating substantial value by spending every acquisition dollar wisely on the right things at the right time.
Many times, however, M&A presents an ego boost for management and a lazy way out from underinvesting in one’s own business.
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As we now have a framework to look at things differently, let’s look at #FANGMAN and a bunch of “pigs with lipstick”.
We start with #FANGMAN:
Facebook
Apple
Netflix
Google
Microsoft
Amazon
NVIDIA
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Here are the cumulative figures visualized for the first four ( $FB $AAPL $NFLX $GOOG ). I can only admire the “cleanliness” of Apple and Microsoft.
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… and the remaining balance of #FANGMAN: Microsoft $MSFT, Amazon $AMZN, and NVIDIA $NVDA.
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Here are some of the greatest share issuers in Nasdaq 100 shown through the lens of “adjusted FCF”. See how the cumulative figures differ from actual FCF.
$OKTA $TSLA $WDAY $ADBE
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For example, take PayPal $PYPL. It’s a wonderful company, no doubt, but the financials can be misleading.
In the last 12m, OCF was $6.2 bln and CAPEX $0.9 bln for FCF of $5.3 bln.
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What this FCF doesn’t show, however, is that at the same time, stocks worth $1.5 bln were given to employees while $2.2 bln of stocks were repurchased from the market.
Dilution is real cost and accounting for it would reduce PayPal’s LTM FCF from $5.3 to $3.8 bln (-30%).
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This approach is obviously not "the right way to look at things" but just a mindset to think differently from the crowd.
Personally, this is one thing to consider before investing. For the extreme FCF abusers, I expect some form of reckoning ahead.
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This was the thread of adjusted FCF - thanks for making it this far!
If you enjoyed this thread, please like/RT the first post. For more similar content, hit a follow @hkeskiva.
For great accounting-based Twitter findings, highly recommend a follow for @breadcrumbsre
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You may also find my earlier similar threads on business and investing from this "meta-thread" of threads.
Thanks for sticking with me! Wishing you all nice and relaxing weekend 🙂
Great companies come in different forms, but few, if any, check all the marks of perfection.
In this thread, we take a look at the CHARACTERISTICS OF A PERFECT COMPANY, using public companies as examples. Each is used as an example only once.
Best enjoyed with a cup of 🫖
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Perfect company is easy to understand, even by a child. As Terry Smith would say, there’s “no gibbledigoo”.
It makes money selling hamburgers (Shake Shack $SHAK), brewing beer (Boston Beer $SAM), or manufacturing lubricants (WD-40 $WDFC).
Sometimes less is more.
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Perfect company operates in a business with high margins. It can take a hit or two and still post healthy profit after operating expenses and future investments.
For example, Visa $V has gross margins of 80%, operating margins of 60% and net margins of 50%.
Here’s Buffett at 32, when he earned a million per year - or $8.8M per year in today’s dollars.
In this thread, we celebrate #BerkshireHathaway AGM weekend by looking closer at how he did it. We finish with a link to the 152 pages of gold: Buffett Partnership letters.
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Many hedge fund managers expense so-called “2/20”, meaning that whatever happens with the investments, they get 2% of the assets plus 20% of any profits.
Even though they’d underperform the market, such system would incentivize them for the effort.
“Thanks!”
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Here’s the outcome for the investors in this typical 2/20 model. See how 5% returns before fees leave investors with only 2% returns after fees (40% of the total).
Ordering food online is quickly becoming the next big thing.
In this thread (🧵), we'll take a deeper look at
- The market
- The business model
- Basket size trends
- Costs per order
- Economics
This is a long one, best served with a hot cup of chai 🫖
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I’m sharing what I've found during the past few months not to say how things are, but to learn from better-advised contributors. Any challenging or complementary insights very welcome.
With that said, let’s start with the market...
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Market appeal is obvious; people have to eat.
TAM for food purchases is counted in trillions, delivery businesses have raised billions, and online share growing fast. Some listed companies include DoorDash, Delivery Hero, Deliveroo, Just Eat TakeAway, Uber, and GrubHub.
In 2015, $SMLR received FDA clearance for its only patented product, QuantaFlo, that saves significant time in testing for Peripheral Arterial Disease (PAD) to prevent potentially deadly strokes.
The test is faster, cheaper, and more accurate than incumbents.