Snowflake has not reported. That is the first thing to fix about most of the commentary written this week. The stock closed at $329.11 on 27 August 2026, up 4.36% on the day, and a great deal of coverage has quietly treated that move as an earnings reaction. It was not. Snowflake’s own newsroom, in a release dated 3 August 2026, states that the company will publish second-quarter fiscal 2027 results “following the close of the U.S. markets on Wednesday, September 2, 2026.” The SEC’s complete daily filing index for 27 August 2026 returns no Snowflake filing at all, and the most recent Item 2.02 earnings 8-K remains the one dated 27 May 2026. The print is still ahead. Our framework going in: a bull case at $415 and a bear case at $232, against spot of $329.11.
Here is the framing nobody else applies. FinanceFeeds has spent four years covering Snowflake not as a software stock but as plumbing for the capital-markets data business — Cboe, JPX, SIX, Parameta, OptionMetrics and Exchange Data International have all published datasets onto Snowflake Marketplace. That matters commercially in a way sell-side notes never model, because Snowflake does not licence those datasets or book their subscription fees. It books the compute the buy-side burns querying them. Every exchange that stops shipping files and starts publishing a share converts a fixed vendor bill into a variable consumption bill landing in Snowflake’s product revenue line. That is the mechanism behind the number the market trades on, and it is invisible in a revenue-multiple screen.
Key facts
- Snowflake reports Q2 FY2027 (quarter ended 31 July 2026) after the US close on Wednesday 2 September 2026 — per its press release of 3 August 2026.
- Q1 FY2027 product revenue was $1,334.3m, up 34%; total revenue $1,390.9m, up 33% (SEC Form 8-K exhibit, 27 May 2026).
- Net revenue retention was 126% at 30 April 2026, up from 125% in each of the three prior quarters — the first uptick in years.
- Remaining performance obligations stood at $9.21bn, up 38%, growing faster than revenue.
- Q2 FY2027 product revenue is guided to $1,415m–$1,420m (+30%), full-year FY2027 to $5,840m, raised from $5,660m.
- Stock-based compensation was $402.5m in Q1 alone — 28.9% of revenue; the GAAP operating loss was $326.2m against $165.8m of non-GAAP operating income.
- The shares closed 3.75% below their 52-week intraday high of $341.95 (12 August 2026) and 178% above the 10 April 2026 low of $118.30.
What actually happened on 27 August — and what did not
The 4.36% gain, worth $13.74 a share, came the session after NVIDIA reported its own second quarter. NVIDIA’s Item 2.02 8-K, filed 26 August 2026, shows revenue of $96.2bn, up 106%, with data-centre revenue of $89.0bn, up 117%. Founder and chief executive Jensen Huang said in that release: “AI has reached its inflection point. It’s doing useful work. Its tokens are productive and profitable. Now, compute is revenue.”
The two stocks did not move together. NVIDIA guided third-quarter gross margin to 74.0% plus or minus 50 basis points, down from 75.0%, and as FinanceFeeds reported, that margin guide sent the shares lower despite the revenue beat. Snowflake rose anyway.
That divergence is the cleanest read on how the market is segmenting the AI trade. Snowflake’s non-GAAP product gross margin in Q1 FY2027 was 75.1% — indistinguishable from NVIDIA’s 75.0%. The two carry entirely different risks. NVIDIA’s depends on memory pricing, packaging capacity and a Chinese data-centre business its guidance now assumes contributes nothing. Snowflake’s depends on what it pays hyperscalers for compute versus what it charges for credits. One is a bill of materials; the other a spread. Investors appear to have decided the spread is safer.
The market-data rail that no SNOW model contains
Snowflake’s consumption model means revenue only appears when a customer runs a query. The question is therefore not how many logos it signs but how much recurring, non-discretionary querying it captures. Financial-market data is close to an ideal answer, because that querying is mandated by risk, compliance and research processes that do not switch off in a downturn.
FinanceFeeds has documented that migration as it happened. Cboe launched index datasets on Snowflake Marketplace, moving index history from file delivery into a queryable share. Parameta Solutions, TP ICAP’s data arm, brought OTC data to the same marketplace — hard-to-source pricing on instruments that never trade on a lit venue. JPX Market Innovation & Research put its J-Quants Pro datasets on Snowflake, opening Japanese equity history to quants who once negotiated bilateral feeds. SIX integrated to deliver financial data straight into AI environments. OptionMetrics brought its historical options data across. Exchange Data International added its own market-data suite.
That is six separate data providers, none of them competitors, reaching the same conclusion. Note what each is really doing: transferring the cost of storing and processing its own history onto the customer’s Snowflake account. The vendor keeps the licence fee; Snowflake collects the compute. That is why consumption can grow faster than the customer count — and why the industry’s inflation in data costs, which FinanceFeeds examined in why banks and brokers may soon pay more for market data, is a tailwind rather than a threat.
None of this is large enough today to be a separate reporting line. That is precisely the point: it is a structural reason to think consumption has a longer tail than a decaying-growth-rate spreadsheet implies, and it appears in no published SNOW model we can find.
The bull case: $415
The bull path is arithmetic, not enthusiasm: an accelerating beat pattern and a multiple that merely holds.
Step one — Snowflake beats its own guide, again, by more than usual. Comparing each guidance midpoint in the SEC filings with the outcome: Q3 FY2026 guided $1,125m–$1,130m, delivered $1,158.4m, a 2.7% beat. Q4 FY2026 guided $1,195m–$1,200m, delivered $1,226.6m, 2.4%. Q1 FY2027 guided $1,262m–$1,267m, delivered $1,334.3m — a 5.5% beat, more than double the prior two. Applying that rate to the Q2 midpoint of $1,417.5m implies roughly $1,495m, or 37% growth on the $1,090.5m reported a year earlier.
Step two — the full-year guide goes up again. Management already raised FY2027 product revenue from $5,660m to $5,840m at the Q1 print. Chief financial officer Brian Robins tied that to customer expansion: “We now have 779 customers spending more than $1 million on a trailing 12-month basis, 46 of which crossed the threshold in Q1, compared to 26 a year ago.” A repeat takes the full year toward $6.0bn.
Step three — the leading indicators justify it. RPO of $9.21bn is 1.73 times annualised Q1 product revenue and grew 38% against 34% revenue growth; backlog running ahead of revenue is how a consumption business signals the next four quarters. Net revenue retention ticking from 125% to 126% is the first improvement after a long decline, and chief executive Sridhar Ramaswamy attributed the quarter to product rather than pricing: “Snowflake delivered a milestone quarter, with product revenue of $1.33 billion, up 34% year-over-year, marking the strongest sequential dollar growth in our history.”
Step four — the multiple holds. At $329.11, on 345.4m weighted-average shares, $4.39bn of cash and investments and $2.28bn of convertible notes, enterprise value is roughly $111.6bn — 19.1 times guided FY2027 product revenue. Roll onto FY2028 product revenue of about $7.5bn (25% growth on a FY2027 landing near $6.0bn) at 20.5 times, and enterprise value is $153.8bn. Add $2.1bn net cash, divide by the 375m fully diluted share count management uses in its own guidance, and you get $415, about 26% above spot.
Note what this does not require: no multiple expansion, no new product category, no validation of the AI narrative. Only that Snowflake keeps beating a guide it has beaten three quarters running, and is valued next year as it is today.
The bear case: $232
The bear case is not that Snowflake is a bad business. It is that a very good business is priced for continuous outperformance while a larger, faster private competitor compounds against it and the reported profits are not cash.
Step one — the competitor is now bigger. On 13 August 2026 Databricks announced it had surpassed a $7bn revenue run-rate, growing more than 80% year on year, alongside a $5bn round at a $190bn valuation and more than 1,000 customers consuming above $1m. Snowflake’s Q1 product revenue annualises to about $5.34bn at 34% growth with 779 such customers. One caveat most write-ups omit: Databricks’ run-rate is a self-reported, unaudited private metric, not defined identically to GAAP product revenue. Even discounted heavily, the direction is unambiguous. The private company grows more than twice as fast, is carried 70% above Snowflake’s enterprise value, and — as FinanceFeeds reported when LSEG and Databricks joined forces on AI-ready financial data — competes for the same capital-markets workloads described above.
Step two — the profits are non-GAAP. Q1 FY2027 non-GAAP operating income of $165.8m sits against a GAAP operating loss of $326.2m — a $492.0m gap in one quarter, 35.4% of revenue. For full-year FY2026 the gap was $1,924.9m on $4,683.9m of revenue, or 41.1%. Stock-based compensation of $402.5m in Q1 annualises to roughly $1.61bn — more than the entire $1.4bn of adjusted free cash flow implied by the company’s own 23% FY2027 margin guide. Weighted-average shares rose 3.8%, from 332.7m to 345.4m, despite an active buyback. Shareholders fund the compensation through dilution, and at $329 that dilution is expensive.
Step three — an in-line quarter is a de-rating event. After a 50% year-to-date gain, within 4% of a record, meeting guidance is not enough. The precedent sits in the price data: Snowflake released Q3 FY2026 on 3 December 2025 and the shares fell 11.4% the next session.
Step four — the maths of a de-rate. Assume Q2 lands in line, the guide is reiterated not raised, FY2027 finishes at $5,840m, and FY2028 decelerates to 19% growth — roughly $6.95bn. Assume the multiple compresses to 12.2 times forward product revenue, where infrastructure software with a growth handle beginning with a one tends to trade. Enterprise value of $84.8bn plus $2.1bn net cash, over 375m shares, gives $232, about 30% below spot — still nearly twice the April 2026 low of $118.30. A de-rating, not a collapse.
What the market is pricing into 2 September
Snowflake is one of the most violent earnings-day stocks in enterprise software, and that can be measured rather than asserted. Taking the four most recent Item 2.02 release dates from EDGAR and the single-session move after each: 27 August 2025 gave +20.3%; 3 December 2025, −11.4%; 25 February 2026, +2.3%; 27 May 2026, +36.5%.
The average absolute move across those four prints is 17.6%. Applied to $329.11 that is roughly $58 a share, a one-session range of about $271 to $387 — wide enough to cover much of the distance to both year-ahead cases in a single evening.
A second observation matters. Realised volatility over the trailing 30 sessions is roughly 36.7% annualised against 62.9% over the trailing year — compression going into an event that has moved this stock double digits in three of its last four outings. The shares sit 15% above their 50-day moving average of about $285 and 52% above the 200-day of about $217. Calm positioning ahead of a disorderly catalyst is how gaps get large.
Bull and bear drivers side by side
| Driver | Bull reading | Bear reading |
|---|---|---|
| Q2 vs $1,415–1,420m guide | Repeats the 5.5% Q1 beat, near $1,495m (+37%) | In line at ~$1,418m (+30%); decelerates from 34% |
| FY2027 guide ($5,840m) | Raised again, toward $6.0bn | Reiterated; the May raise was the cycle peak |
| Net revenue retention (126%) | First uptick in years; AI expanding accounts | One quarter is not a trend; reverts toward 120% |
| RPO ($9.21bn, +38%) | Backlog outgrowing revenue funds four quarters | Fell sequentially from $9.77bn at 31 January |
| Profitability | GAAP loss narrowed to $326.2m from $447.3m | $492.0m GAAP gap; SBC 28.9% of revenue |
| Databricks | Rising tide; the category is not zero-sum | $7bn run-rate at 80%+ versus $5.34bn at 34% |
| Valuation (EV ~$111.6bn) | 19.1× product revenue is fair for 31% growth | Also ~80× adjusted FCF, ~136× non-GAAP EBIT |
Disconfirmation triggers
Checkable conditions that would invalidate each case — the numbers to read first on 2 September.
The bull case fails if:
- 1. Q2 product revenue comes in below $1,450m — a beat under 2.3%, worse than the two quarters preceding Q1, confirming the 5.5% beat was an outlier.
- 2. FY2027 guidance is left at $5,840m or cut. The bull path needs a second raise, not a reiteration.
- 3. Net revenue retention prints at 124% or below, reversing the improvement and re-establishing the multi-year downtrend.
- 4. RPO grows less than 30%, signalling the backlog that underwrote 34% Q1 growth is thinning.
- 5. Non-GAAP operating margin misses the 12.5% Q2 guide, meaning resold AI compute carries a worse spread than assumed.
The bear case fails if:
- 1. Q2 product revenue exceeds $1,490m and the FY2027 guide is raised above $5,950m, restoring an accelerating trajectory.
- 2. SBC falls below 25% of revenue, or share count grows less than 2% year on year, showing dilution is being managed down.
- 3. Adjusted free cash flow margin is guided above 23%, breaking the arithmetic in which annualised SBC exceeds free cash flow.
- 4. Management quantifies AI product revenue as a disclosed line. The current disclosure — 13,600 accounts using AI features, 7,100 using Cortex Code — measures adoption, not money.
- 5. Net revenue retention reaches 128% or higher, meaning existing customers alone compound fast enough to support the multiple.
What would change the call
Three things beyond the quarter. First, the $6bn multi-year AWS agreement disclosed in the Q1 release: its economics set Snowflake’s cost of compute, and therefore the gross-margin spread the model rests on. Any commentary on its structure is material.
Second, whether the Natoma acquisition, signed in May 2026, delivers a governed way for AI agents to act on enterprise data. Agent-driven querying is machine-paced, and a consumption business whose queries come from software rather than analysts has a different ceiling.
Third, disclosure itself. Snowflake reports how many accounts touch its AI features, not what they spend. Until that changes, the argument over whether Cortex is revenue or narrative cannot be settled with filings, and the stock will keep re-rating violently on each quarter’s anecdotes.
That gap is visible outside the filings too. Across the 30 days to 28 August 2026, Cortex generated a single dedicated discussion on the r/snowflake forum, drawing 12 upvotes and seven comments, while the most engaged Snowflake threads were about consumption cost — an audit of account cost blow-ups drew 33 upvotes and 17 comments, and a thread arguing that ingestion, not query compute, is where budgets disappear drew 20 upvotes. Practitioners are still talking about the bill, not the agents.
Frequently asked questions
When does Snowflake report Q2 FY2027 earnings?
Snowflake reports second-quarter fiscal 2027 results after the US close on Wednesday 2 September 2026, with a call at 2pm Pacific Time. The quarter ended 31 July 2026. The date comes from Snowflake’s own press release of 3 August 2026; no earnings 8-K had been filed with the SEC as of 27 August 2026.
Why did SNOW stock rise 4.36% on 27 August 2026?
Not because of its own results, which had not been published. NVIDIA reported second-quarter revenue of $96.2bn the previous evening, lifting AI-linked software. Notably, NVIDIA guided third-quarter gross margin down to 74.0% and its shares fell while Snowflake rose — a sign the market is separating consumption software from semiconductor capex.
What are the four numbers that matter most in Snowflake’s results?
Product revenue growth against the $1,415m–$1,420m guide; net revenue retention, which was 126% at 30 April 2026; remaining performance obligations, last reported at $9.21bn and up 38%; and non-GAAP operating margin against the 12.5% guide. Together these capture new demand, existing-customer expansion, contracted backlog and unit economics.
Is Snowflake profitable?
On a non-GAAP basis yes: $165.8m of operating income in Q1 FY2027, an 11.9% margin. On a GAAP basis no: a $326.2m operating loss and a $295.6m net loss in the same quarter. The difference is driven mainly by stock-based compensation of $402.5m, or 28.9% of revenue. Both come from the same SEC filing.
How does Snowflake compare with Databricks?
Databricks announced a $7bn revenue run-rate growing more than 80% year on year on 13 August 2026, against Snowflake’s Q1 product revenue annualising near $5.34bn at 34%. Databricks is private, so its run-rate is self-reported and not defined identically to GAAP revenue. On disclosed figures, though, it is both larger and growing far faster.
How much does SNOW typically move on earnings day?
A great deal. Measured from the four most recent earnings releases, the following session’s move was +20.3%, −11.4%, +2.3% and +36.5% — an average absolute move of 17.6%. At $329.11 that implies roughly $58 a share, or a range of about $271 to $387 in one session.
The setup into 2 September
Snowflake enters its print with the strongest fundamental momentum it has shown since 2023 — accelerating growth, backlog outrunning revenue, retention rising for the first time in years — and the least forgiving valuation it has carried in that period. Those two facts are not in conflict; they are the trade.
The market-data distribution business documented across FinanceFeeds’ archive has the longest duration and the least coverage, and it will not appear as a line item on 2 September. What will appear is whether a company guiding to 30% delivers 37%, and whether management raises a number it has already raised once.
Analysis and information only; not investment advice or a recommendation to buy or sell any security. Figures are drawn from the SEC filings and press releases cited above, and from market data as at the close on 27 August 2026.