TechStockFundamentals Profile picture
Oct 24, 2024 1 tweets 5 min read Read on X
$PCT is building the first chemical recycling plant for polypropylene plastic (which is ~30% of the world's plastic and which is recycled at ~1% rate). Their representation is their recycling process is game-changing as far as quality / cost.

High-risk business as they are pre-revenue w/ burn and debt. I'm also way outside my comfort zone with this company / industry.

Contact is director of R&D at Estee Lauder. Was pretty positive on PCT.

Highlights
-Got sample from most recent batch production at PCT. The output is basically identical to virgin plastic (95-98% there).

-The PCT product is orders of magnitude better than mechanically recycled product. Mechanical has so many issues that can only be 1-5% of new products. PCT could easily be 30% (and maybe 100% but for being cautious to make sure no product failures in the field).

-Contact needs to see 5-6 more production runs to compare output and make sure quality is consistent / improving, and then can purchase.

-Thinks PCT can sell at 100% premium to virgin [I’ll discount that].

-Not seeing anyone close to PCT at this point within chemical recycling.

-Could take some time to scale purchases as want to evaluate multiple batches to confirm quality

Notes
Background
-Director at EL for past 12 years for all personal care including packaging, materials, designs, specifications, sourcing and sustainability.

History
-Evaluated them starting in 2021 / 2022

-Most personal care / beauty care companies that are prestige started buying subscriptions for recycled plastics

-Supply managers are concerned that there will be a mad stampede for sustainable plastics once available so need to set contracts up in advance

-EL had ESG mission targets where wanted >50% of product / packaging to be sustainable and want this to be >90% over 5 years

-How close are you to this? Fairly close bc PCT is leading vendor for chemical recycling

When was last sample and what do you think of where they are?
-Were looking at lab samples in 2021 / 2022 and output was identical

-Have received samples from large pilot / small production runs within last qtr – material is identical to virgin from chemical and mechanical performance

-Sent first lot of 20 kg last time from the 1m lb batch run so now in end-pilot / production runs right now – need to evaluate 3 different batch runs to get picture of whether process is reproducable

-For new tech, might want 5-6 lots to make sure all on-spec all the time

-Is it discolored? We put pigments / dyes in packaging so slight tint is not a major issue – think will be there within 1-2 years

-Room for improvement? Sure, but only a couple percent off from virgin. Can make products 30% made from this.

-Strategy is not to use 100% bc not there yet and not enough supply.

Mechanical recycling (old way)
-Issue 1: Can only use few percent of existing recycled plastic in product bc of residual impurities / contaminants (fillers, pigments, adhesives, etc.) in mechanically recycled plastic

-Chemical / mechanical properties are different – too soft

-Result is only can mix max of 5% w/ virgin

-Pellets are also inconsistent so every batch / lot is different. Have to pilot each batch and adjust process (temperature, etc.) to work w/ the recycled lot which is a major headache compared to just using virgin. Still need to adjust process even when using only 5% mechanically recycled process.

-If you used 30% mechanically recycled plastic today, high likelihood your product would fail in the field (cracks, discolors)

-Issue 2: Can only recycle plastic a few times before they degrade from heat / sunlight. That’s why plastic out in the sun for a while start to yellow from oxidation, then get brittle. This is just from the sun. Impossible to know how many times a lot has been recycled / what percent of a lot has been over recycled – have to test the lot and see if it fails tests.

-Soda industry harmonized specs for plastic so that all vendors can interchangeably use them (clear or green) – standardized plastizers, standardizers, pigments so that recycling plant can separate all soda bottles. Helps but doesn’t address that max 5 recycling limitation.

-“This is a miracle compared to mechanical”

Chemical recycling
-Dissolve the plastic w/ solvents, go through purification process which also removes degraded plastic which has been oxidized.

-PCT at 98% there and infinitely better than mechanically recycled material today. Even being 2-3% off from virgin is still far better than mechanical.

Usage
-Could probably use PCT for 100% of materials even if not 100% the same as virgin. But there isn’t enough supply for that anyways.

-Current strategy is to use recycled materials together to push recycled content as high as possible including biosourced (use other bacterial process to create the ethylene as opposed to petro)

Regulation
-In Europe if product has <1% recycled product, then must pay penalty

-Trying to get this up to 5%

Interest in compounded product?
-Don’t think they have the capability to blend right now

-We can do it ourselves

How long till you are ready to buy / use it?
-Would give them another 1-2 years

-After first 1m run, they are evaluating product output and process efficiency (solvent recovery, etc.). Going to take some time before next production run.

-Think that after another 2 years, will be able to sell material that is almost as good as virgin

-Why does it take 2 years and not 6 months? Have only 1 facility. Regulation (EPA seeing solvent recovery) that will watch scaling.

-Scaling to multiple facilities is also difficult.

When can they sell the 107m lb at Ironton?
-Once they do 2-3 more batches that are consistent, it is sellable bc this is order of magnitude better than mechanically recycled plastic

-80-90% confident they can sell what they are making right off the bat

-We are aiming to potentially use PCT at 20% or 30% of material

Pricing
-Virgin at index of 100

-Mechanical goes for 85-90, improved (sorted beverage bottles) is 100-105

-I asked whether he had seen 70c for virgin and 85-125c for mechanical? See 20-25% premium for recycled plastic w/ higher batch quality (more sortation, etc.)

-PCT will be 200 because is new tech, demand for it, significant value-add, premium for prestige brands (EL products are 80% GM products)

-WMT products for mass market (10% GM) would pay 120

-I asked if virgin is 70c, can PCT get 90-100c? Thinks they can probably get 140c.

Who else is doing this?
-PCT is leader in chemically recycled plastic.

-Only major player out there bc of patents.

-Some others break plastic down to chemical constituents and resell Napylene – but don’t get a plastic output; or break down plastic into other materials and sell these remainders

Minimum quantities to be produced?
-1m lb is decent size for small plastic manufacturer

-Need 10m lb to fulfill some customers 30% needs

How much would you need to incorporate 5% PCT
-50k / pounds would get us to 5-10% composition
-[Think he may have misspoken as maybe he meant 50m pounds, 50k seems far too low?]

-View is that then could see if we can go to 30%

-When will you buy? Need 5-6 production trial runs. Then can start buying it.

Anything else?
-Would pay attention to what they do w/ waste.

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More from @TechFundies

Jan 1
Happy New Year.

My occasional reminder that the best gift you can give yourself and everyone around you is the awareness of index ETFs.

99% of investors cannot beat these incredible ETFs that provide exposure to the best companies in the strongest economy in the world, automatically rebalance to add winners / remove losers, can be held forever, and require you to pay little to no taxes.

Numbers updated for 2024.

SPY: 13.7% compound return over 15 years. Trades at 23x forward P/E vs 10 year mean of 19x.

QQQ (Nasdaq 100): 18.4% compound return over 15 years. Trades at 28x forward P/E vs 10 year mean of 24x.

SMH (Semi's): 22.9% compound return over 15 years. Trades at 25x forward P/E vs 10 year mean of 20x.

IGV (Software): 17.3% compound return over 15 years. Trades at 37x forward P/E vs 10 year mean of 35x.

(Please note this is not a recommendation to go buy ETFs today at these prices, but just trying to create awareness for the inevitable pullbacks).Image
How to think about buying indexes when trading at above average multiples?

The charts below plot the S&P’s forward returns over different time horizons versus the starting P/E.

As expected, there is a negative correlation indicating higher multiples correlate with lower forward returns.

There is little correlation between valuation and 1-year returns, and also plenty of cases where cheap multiples still resulted in negative returns.

Also worth noting that the SPY produces negative returns over 5 years anytime it is trading above 22x in this time frame (we are at 23x today).

Not sure exactly what to take from this other than to perhaps be a bit less valuation sensitive particularly for long-term ETF investments. And a reminder to buy ETFs aggressively when they are cheap (<15x).

SPY correlations since 1999
-1 year = -0.27
-2 year = -0.38
-3 year = -0.34
-5 year = -0.43Image
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Same work but for QQQ

Notably, if you buy QQQ at or below 20x EPS, you have a low chance of losing money over 2 years – particularly true for periods after 2002. (We're nowhere close to that valuation at 28x here)

QQQ correlations since 1999
-1 year = -0.22
-2 year = -0.44
-3 year = -0.49
- 5 year = -0.67Image
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Read 4 tweets
Dec 7, 2024
For kicks, I read Senator Rubio’s 58 page report on China. It was surprisingly well done – current, thorough, and balanced.

It was complementary of China’s progress across many fronts, and frankly was not particularly combative – more focused on what the US needs to do to be competitive (focus and subsidies).

Lots of excerpts in this thread covering the report's assessment of Chinese semis, EV's, nuclear, research capabilities, robots, etc.

$KWEB trades at 9x EPS excluding cash. And the President Elect has made it clear we are not going to war so left tail risk greatly diminished. Hmmm.

Background
- China released “Made in China 2025” document in 2015. "At the time, they were already the worlds’ factory across textile, apparel, furniture and other sectors."

- Of the 10 sectors targeted by the government’s 2025 plan, China can credibly claim to the be world leader in 4 (EVs, energy and power generation, ship building and high-speed rail). In 5, China has made substantial progress but is not yet the leader (aerospace and aviation, biotech, new materials, robotics and semis)

- China brutally honest in self-assessments: “Manufacturing industry is large but not strong. Capacity for independent innovation is weak, and key technologies and high-end equipment are highly dependent on foreign countries.

- New slogan introduced “new quality productive forces” by Xi. Documents indicate state will promote technologies including humanoid robots, quantum computers, brain-computer interface, 6G network equipment, deep-sea drilling and mining tech, and advanced aviation equipment.

- While China is still massive producer of cheap toys, apparel and electronics, it is now among the world’s most competitive producers of just about everything – from machine tools to dock cranes.

Report's Conclusions
-“US must act now to avoid living in a world where China is the teacher, and we are the pupil”

- It may be the case that China’s export- and manufacturing-oriented development model has been successful enough to propel China to the technology frontier in the short term, but not successful enough to help the country outrun its structural problems in the long term.

- Instead of being complacent, the United States must act urgently to shield itself from China’s predations and reboot its ailing industry. This will require a bold industrial policy to support sectors critical to our national and economic security, paired with an equally bold deregulatory agenda to clear the path for industry to build again

- We should be circumspect enough to realize that, in many areas, the days when China needed to steal from us are past. Now, in sectors as diverse as shipbuilding, EVs, and energy, China leads the rest of the world. Already, Beijing is deploying new resources to lock in its advantages in these sectors, and to use its technology and trade to remake the world according to its interests.

[None of this sounds outlandish or warmongering to me - I tried to include the most "incendiary" language I could find - mostly sounds like respectful competitor discussion]Image
Semis
- China remains deeply reliant on foreign countries for key inputs, including lithography equipment, Electronic Design Assistance software, and advanced materials.

- Chinese semiconductor manufacturing companies like SMIC are pushing the boundaries of what is possible in the face of export controls, but are several generations behind the leading edge.

- It also runs a substantial trade deficit in semiconductors, relying on imports, mostly from Taiwan and Korea, to meet the voracious demands of its internal market and manufacturers.

- China has invested heavily to develop an indigenous semiconductor industry, spending potentially more than $150 billion in the past decade

- Recently, Beijing has concentrated control of its semiconductor investments in a secretive government-run working group, which indicates the importance the CCP places on semiconductor technology and its desire to avoid further sanctions from the U.S. government

- YMTC appears to be succeeding despite a U.S. government blacklisting, reportedly producing the world’s most advanced commercially available NAND memory product.

- China’s premier manufacturer of logic chips is Semiconductor Manufacturing International Corp. (SMIC), a state-owned firm with close ties to the Chinese military. SMIC has also battled U.S. sanctions with considerable success. Multilateral export controls on semiconductor manufacturing tools have cut off SMIC’s access to the most advanced chipmaking equipment produced by firms like ASML. In response, SMIC has pushed the boundaries of what is possible with older equipment. Last year, Huawei stunned industry observers by releasing a new smartphone powered by a SMIC logic chip at the 7 nm node of production

- Despite these advances, China remains substantially behind the cutting edge in virtually all areas of semiconductor manufacturing. In particular, China lags in lithography equipment and EDA software and remains reliant on a handful of Western firms for such products.

- SMIC and other Chinese chipmakers have been on a construction spree of fabs producing less advanced chips, which go into automobiles, airplanes, and countless weapons systems.
Aerospace
- China’s passenger-jet champion, COMAC, has notched success in the domestic market, but is not yet a viable competitor of the Boeing-Airbus duopoly or even Embraer. China plane is heavier than Boeing 737 by a ton and has 1k nautical mile shorter range. 40% of plane’s components are imports. Electrical-system, landing gear, flight recorder / control, weather radar and tires are all American-made.

- China has developed impressive space-launch capabilities and satellite systems, but is still weaker than the United States in space. Several proven medium-lift rockets and one proven heavy-lift launch vehicle. Payload and cost of delivery are significantly worse than American Falcon 9

- China’s aviation success story is in commercial drones, where it possesses dominant market share and has built world-leading companies like DJI. China has 90% of US market for drones.

- China’s dominance of the commercial drone sector has led to the emergence of what Beijing calls the “low-altitude economy.” China envisions a future where armies of coordinated drones perform everyday tasks from package delivery to crop dusting to, one day, taxi services.

- Chinese GPS system has 419 new satellites – no longer dependent on US system. BeiDou is now twice the size of GPS and is more accurate with more features.Image
Read 18 tweets
Oct 28, 2024
Consensus is that Chinese demographics are “terrible”, so I double-clicked on the numbers.

I'm not a demographer (so discount this work by a lot) but seems like the "demo" concerns are overblown and the Chinese economy will grow regardless over the next 10-15 years minimally.

Highlights
-US / China populations will be relatively consistent for next 10-15 years.

-The shape of cohorts by age suggests the workforce also will be consistent. China is actually increasing the number of people entering the workforce each year over the next decade whereas the US will see a slight contraction.

-The main Chinese red flag is birth rates have been depressed since 2020 – potentially due to COVID / economic malaise / trade wars. If this persists, then the population will contract down the road. But China is also a command country and might be more dynamic in alleviating the costs of having children.

-The migration to cities from rural areas continues in China which is a tailwind to GDP.

-The education system has expanded and China is growing the number of college and graduate students annually – tailwind to GDP.

-Real GDP / capita in China is growing at 2x the rate of the US. Chinese real GDP will potentially grow rapidly even w/ demographic headwinds relative to the US.

-The percent of the population over 65 years old is 15-18% in China and 25% in the US.

-In the US, people aged 65-74 spend $47k / year – less than middle-aged people bringing up families, but similar to people aged 25-34 who spend $48k / year. So if age cohorts are consistent (which they largely are), not that much of a spending drag from people aging.

-US savings rate is <5% while Chinese savings rate is >40%. So could be spending, even with an aging demo, is more insulated as the elderly in China spend both for themselves and descendants.
1. Total Population

China has 1,426m people w/ growth of -0.2% yy in 2023.

US has 340m people w/ growth of 0.5% yy in 2023 (1.75m increase in population. CBO estimates 3.3m of these were immigrants implying organic US population declined; SSA estimates 2.0m were immigrants so also implies US declined organically; Census estimates 1.14m which implies slight organic growth)

India has 1,429m people w/ growth of 0.8% yy in 2023

So China is flattish, US is flattish but growing a touch via immigration, and India is still growing.Image
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2. Population by Age and Sex

The charts below break down the population by age in each country.

For both China and the US, it seems like there is a relatively consistent number of people at each age from 5 years old to 60 years old. So, for the next 15 years (5-year-olds become 20 and enter workforce), I’m not sure I’m seeing a glaring issue w/ workforce size for either China or the US.

In fact, the pipeline of people entering the workforce over the next 10 years grows in China and shrinks modestly in the US…

Both China and the US need to see higher birth rates for the populations to not contract down the road.

On the other hand, India has a swelling workforce population that will present different problems – they need to create enough infrastructure and jobs for everyone.

(For reference, China 1-child policy began in 1980 so makes sense that impact has only been seen over past 5-10 years (Average age of women in China having first child is 27.5 so would think impact would start to show up around 2005. The policy ended in 2016).Image
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Read 12 tweets
Mar 11, 2024
The $GOOGL bear case is pretty loud right now (Search monopoly facing first real threat from GenAI).

Predicting the future here is tough but worth at least exploring a strawman for a more constructive outcome in search for $GOOGL.

Some thoughts and search comparisons:

#1 : Search queries are growing. Some have stated this is not the case but pay attention to footnotes in these exhibits ("does not represent any specific data" ?). Last week, $GOOGL Chief Business Officer stated "Search query growth has been consistent across all major markets over the past 12 months". This is during ChatGPT's meteoric rise...

#2: GenAI searches are neither 100% cannibalistic nor 100% new so question is how additive they might be. GOOG blog post from 8/2023 suggests they are finding GenAI searches useful for complex questions they wouldn't typically think to search. See image.

#3: Impact of GenAI on monetization remains unclear - certainly could be negative, but also might be positive. Bears state 7 blue links goes to 0-2 in GenAI and that's that. Sure, but those 7 links were presented to provide the consumer with sufficient choice to better meet their need. Now, the search provider has a more detailed search request and can narrow the result further - and offer the advertisers a more qualified search. So if the 7 links previously paid $1.00 in aggregate to reach a prospect at a certain point in the buying journey, why wouldn't 2 links pay the same aggregate amount to reach the same, but more qualified individual (Nike will pay X for "shoe" but a higher price for "running shoe for trail-running", and against only one other option)? Also, GenAI searches tend to be iterative. So maybe 2 links over 3 iterations results in 6 ad slots overall, all of which might be worth more than 7 generic ad slots given the increased targeting [Again, I don't know the answer - just trying to highlight it's not that simple].

#4. $GOOGL has a pretty notable advantage in currently being the default search status across Android, Apple, Chrome, etc. Users don't change their behavior unless an alternative offers a meaningfully superior proposition. $GOOGL has an advantage in that it is a directory (get me to Nike's website), it is a concierge (tons of info for various searches on the first page like weather, math, Football schedule, etc.), it can get you to resources you need quickly, and now provides GenAI results on the first page as well. So a positive view would be that, so long as GOOG GenAI results are at least reasonably competitive with others, users will just default to $GOOGL. It's just all there for you. Will be interesting to see ChatGPT user / query growth going forward to see if their answers are sufficiently different / better than $GOOGL to keep their momentum going.

#5. $GOOGL has advantaged data which provides better search results. Local data, real-time data, user data (gmail, search history, maps, Android) are all real advantages. Data suppliers also tend to update $GOOGL first given its omnipresence (restaurant updating hours for holiday, etc.).

#6. Commercial searches are some small percent of total. The most expensive keywords include insurance, loans, mortgage, attorney, credit, lawyer, etc. (see image). A table from the EU anti-trust trial indicates the largest revenue generators include iphone 8, auto insurance, car insurance, online colleges, etc. As the exercise below will indicate, GenAI today can help users conceptually think about how to shop in a given category but is pretty far from helping users research a specific vendor, interact with the vendor, buy the thing. Again, I would expect GenAI to develop that functionality over time but worth noting $GOOGL has that today, and also will be working on enabling GenAI to assist.

#7. Desktop vs Mobile. $TRIP always had issues because users would research a trip on mobile, and then just go directly to $GOOG on desktop to actually make the reservation. Feels like today a similar dynamic may exist. GenAI can provide some suggestions today, but then you have to go to $GOOG to see the restaurant's current menu and book a table.

Ok, let's go through some examples. I'm using the most current version of ChatGPT and Perplexity.Image
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"Can you help me buy car insurance"

They all seem pretty comparable to me except with $GOOGL you can iterate / continue your shopping journey by searching for "car insurance" which shows you a page of ads.

GOOGL: Pretty good result page - sort of a literal interpretation of how to mechanically get it (phone, online, etc.).

ChatGPT: Good result more focused on the important consideration points when shopping for insurance.

Perplexity: Someplace in between. A bit cleaner layout.Image
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"What should I do in Paris?"

Each has a different approach. Perplexity has a clean UI most similar to GOOGL. ChatGPT has more content since all text, and useful at a high level. GOOGL is the workhorse with not only content but the ability to go make that trip happen - read reviews, click-through to the sites, search for tickets, etc.

GOOGL: Really useful page. Next image is expanding the AI section to show top results which is compelling - can click-through to reviews, map, etc. Notably, this is a research search and there are no ads. Basically GOOGL is not the YHOO crowded ad-fest circa 2002 that needs to be cleaned up relative to competition.

ChatGPT: Ok text overview of a trip. Fine for initial idea gen / brain storm. Need to go over to GOOGL for any real work.

Perplexity: Cleaner layout than GOOGL for sure. Challenge is you can't click on any links so need to pop back over to GOOGL to do any real research.Image
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Read 7 tweets
Feb 29, 2024
$CRM / @Benioff reported consistent growth in-line w/ the street w/ expanding margins ahead of the street. Story is getting better on improved execution / AI and numbers should be moving higher over this year. Risk / reward is decent here. Upside of 30% to 44x my CY2025 GAAP EPS / 25x FCF, and 56% upside to same multiples on CY2026. Downside of -15% to 20x street CY2025 FCF.Image
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Qtr was fine:

Bookings indicators: cRPO grew 13% yy cc which has been consistent > guidance for 11%; current deferred grew 51% qq (which is seasonally weak relative to typically growing 55-59% in the biq Q4) / 9.4% yy down from 11-12% earlier in the year.

Subscription rev of 8.75b grew 12% yy > street at 8.6b which has been consistent w/ net rev delta of 607m higher than 556m last Q4 and 449m the Q4 before that.

Sales cloud is 21% of subscriptions and grew 10% yy which was consistent / slow decel, service cloud is 23% of subscriptions and grew 11% which is also consistent / slow decel, marketing cloud is 14% of subscriptions and grew 7% which was a slow decel (was high-teens in prior year and 10% earlier this FY), data cloud is 19% of subscriptions and growing 21% yy cc consistently, and platform / other is 20% of subscription revs growing 10% yy cc which is a slow decel.

Company highlighted their success cross-selling w/ 8 of top 10 deals containing 6 or more clouds, and highlighted big deals w/ 78% growth in deals worth over $10m for the year.

Growth by geo was also consistent w/ US growing 9%, Europe 11% and APAC 19% (highlighted India growing net new business 35% yy).

Sales productivity has been improving and 0.76 in Q4 similar to 0.76 last Q4 and up from 0.63 the Q4 before that.

One perplexing disclosure was that <50% of sales cloud customers also buy service cloud (would think that would be an easy / natural cross-sell – could be isolated purchases are more prevalent at low-end of customer base), and that vice versa was true as well. They pitch that as opportunity but seems like suboptimal execution to me (should have a more compelling product integration value prop to customers at this point and thus more customers buying both solutions).

PF OM of 31.4% was > street at 31.6%. SBC of 7.2% was down nicely from 9.4% last Q4.

Shares outstanding decreased 1% for the year from the buyback.

FCF of 9.5b for the year was 27% of revs up from 20% the prior year and grew 51% yy.

Nice job on cost control and capital return.
AI:

The focus of the call was the glory of AI and the salvation it will bring to us all.

Their pitch started with fearmongering: that using generic AI tools will lead to erratic answers and legal / financial liabilities that are dangerous. And evolved into value prop: that CRM already has a customer’s sales, marketing and customer support data in a cozy, secure location where it can be used to train subservient, helpful models.

The exact products are being ironed out: first a co-pilot has been integrated across the platform that can answer generic questions (seems like mostly useful for employees that otherwise should be fired like sales reps that don’t know who their top 5 prospects are), and, more seriously, a more robust set of AI features that have been previewed that can actually be programmed for time-saving actions.

The potential is here and will have to see what the products are capable of.
Read 7 tweets
Feb 28, 2024
$SNOW reported an ok quarter (strong bookings but compromised on pricing, decelerating revenue growth, subdued customer addition metrics), guided well-below, and announced CEO change w/ new CEO lacking ANY enterprise software experience. Story is getting worse,and numbers are going down (though likely bottom here for a bit). Very expensive valuation.

Upside using even stale street numbers is -7% using 12x CY25 revs / 42x FCF and 19% using same multiples on CY26. Downside of -50% using 8x my CY24 revs / 40x FCF and -40% using same multiples on CY25.Image
New CEO: The CEO change is not that surprising as Slootman had been running the company from Bozeman (and remote work is not this guy’s style) but the timing does seem abrupt. New CEO is not from central casting – 15 years at GOOGL primarily in engineering but then ran Ads / Commerce for 5 years. Then cofounded Neeva which was a consumer-focused search start-up he ran for 4 years. Slootman is an enterprise software carnivore, and the new guys has modest relevant experience. He still has “Learning Snowflake” as his current role on LinkedIn. Oh boy. Doesn't strike me as normal CEO change so either CEO did something untoward or board fired him for basically missing the AI boat and now having to play catch-up from far behind.

CFO did re-commit for another 3 years.Image
The Quarter: Decent (strong bookings but more subdued P&L and customer additions):

Backlog means a lot less here as customers commit up-front to usage over time, and then these commitments turn into revenue as they actually use the service. Most cloud services are purchased with little commitment and are paid for monthly in arrears. 80% of customers prepay annually so SNOW is slowly transitioning them to shorter-term contracting / usage dynamics (which is a headwind to FCF).

RPO of 5.2b was very strong at 40% qq / 41% yy (up 1,475m qq vs 658m last Q4 and 842m in the qtr before that). cRPO is a fuzzy metric (Company subjectively allocates RPO to current. For example, JPM was at a 50m run-rate, and they took a 100m 3 year renewal and put 50m in current w/ the balance in long-term. Not saying this is disingenuous but there is subjectivity since a more conservative approach would put 33m in current) – cRPO of 2.6b grew 28.5% yy up from 27.7% last qtr so slightly better – delta of 479m up from 362m last Q4 and 384m the qtr before that. So pretty solid backlog growth which company previewed last qtr – “Expect significant bookings for Q4 from a number of customers that need to renew and want to get advantageous price” but offset is price concessions that were offered to get this.

Product revenue (actual usage of SNOW platform) was 738m which was 5.7% qq / 32.9% yy which is a continued deceleration. Net delta of 40m was nicely up from 33m last Q4 but still down from 47m in the Q4 before that.

Customer metrics were weak – total customers grew 21% yy w/ additions of 530 in the qtr down from 536 last Q4 and slightly up from 528 the Q4 before that.

Dollar net retention rate dropped further to 131% from 151% in Q1 (note retention rate here was misleading as when they were ramping customers quickly, those customers would also migrate their data quickly over 1-2 years which resulted in eye-popping net retention rates that were simply not sustainable as the customers got their data up and running, and then entered maturity). Interestingly, very rough math based on this retention rate suggests that new revenue from new customers was minimal this past year.

For customers worth more than $1m, there were 25 net additions down from 34 last qtr, down from 43 last Q4 and down from 36 the Q4 before that. G2K adds were healthier at 44 vs 30 last Q4 and 21 the Q4 before that. The mitigant is that G2K customers are very traditional which means methodical, slow ramps that are very price conscious (not like COIN, Hulu, etc. that spent tens of millions quickly on SNOW). The slowdown spanned every geography (US grew 30%, EMEA grew 32%, APAC grew 32%).

The disconnect between bookings growth / revenue growth is that they are signing longer term deals with customers likely with meaningful price concessions. This is probably smart given the rapidly changing competitive landscape – might as well circle the wagons around the customer base. But does also show that competition is increasing which is pressuring pricing and SNOW growth.

Sales productivity continues to fall though is still in a respectable place (excluding stock comp). 0.78 for the year down from 1.18 the year before down from 1.18.

Margins were better. Cash gross margins were 74.5% which was a nice step-up from 70.9% last Q4 due to their getting better pricing from hyperscalers. Company is clearly in a hiring freeze in sales as headcount has been roughly flat for the past couple qtrs. – probably a wise choice given what is likely happening w/ quota attainment levels. PF OM was 8.9% up from 7.2% last Q4. GAAP OM was -35.6% up from -40.7% last Q4. Stock comp is out of control here at 45.8% of revs in the qtr down from 48.9% - 49% of revs for the year. I guess that’s what happens when you give your CEO / CFO very large comp plans to join.
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