There Is No Databricks Q1 FY2027 Release, and the Retreat Is Bigger Than a Two-Quarter Slide
The question
Verbatim: "What did Databricks' Q1 FY2027 release (reported ~May-June 2026) actually disclose — is that where the 'adjusted free cash flow' qualifier first appeared and NRR was dropped, making the disclosure retreat a two-quarter slide rather than a single-release event?"
Context: this is the single missing document behind the central claim in [[2026-08-14-databricks-pre-s1-ic-memo-thesis]], whose sub-agent could not locate the release. The backlog entry framed the stakes precisely: a two-quarter slide is a publishable pattern, a one-release change is a footnote.
Answer up front: the document does not exist. Databricks has never issued a Q1 press release in this series. But the underlying hypothesis survives in a stronger form than the one proposed, because the retreat runs four metrics deep and roughly twenty months long, and its intermediate step is a June 2026 analyst briefing rather than a press release.
What we already know (from the vault)
- The parent brief established a three-release primary baseline (Dec 16 2025, Feb 9 2026, Aug 13 2026) and identified a three-part retreat: free cash flow became "adjusted free cash flow," net retention rate above 140% vanished, and the artificial-intelligence-products run-rate vanished. It explicitly flagged the Q1 FY2027 gap as unresolved ([[2026-08-14-databricks-pre-s1-ic-memo-thesis]]).
- The vault's disclosure-behavior prior is the spine of the argument: companies that stopped disclosing retention were at or below median when they went quiet, and non-disclosure is itself a signal ([[2026-06-21-mostly-metrics-ndr-benchmarks]], [[2026-05-31-mostly-metrics-ndr-net-dollar-retention-decline]]).
- The vault already holds the mechanism that explains the newly-found gross-margin silence: usage-based pricing decays gross margin as inference cost-of-goods-sold creeps up, and the diagnostic is the gross-margin trend itself ([[2026-08-18-mostlymetrics-usage-based-pricing-one-way-door]], [[2026-07-09-mostly-metrics-llm-costs-pl]]).
- The Q1-2027 slot for a Databricks memo was set in [[2026-06-12-2026-2027-ipo-pipeline-lead-magnet]], on figures now superseded twice over.
What the web says
Fiscal calendar, settled from a primary source. The Dec 17 2024 Series J release states the quarter-end dates in the company's own words: "Growing over 60% year-over-year in the third quarter ended October 31, 2024" and "be free cash flow positive in the fourth quarter ending January 31, 2025." Databricks' fiscal year ends January 31. Therefore Q1 FY2027 = February 1 to April 30, 2026, which on the company's own historic lag would have been announced late May or June 2026 (databricks.com, Dec 17 2024).
No Q1 release exists, verified three independent ways. (1) The complete press-release sitemap (press-releases-assets/sitemap/sitemap-0.xml, 598 URLs, 311 English) contains exactly four revenue-run-rate releases: Sept 8 2025, Dec 16 2025, Feb 9 2026, Aug 13 2026. Nothing between February and August 2026. (2) The only Databricks release in that window carrying a financial headline is the July 16 2026 term-sheet announcement, and it contains zero metrics: no run-rate, no growth rate, no cash-flow language, no retention (databricks.com, Jul 16 2026). (3) CNBC's June 2026 coverage compares the current figure directly to "$5.4 billion in the fiscal fourth quarter," skipping Q1 entirely.
The reason no Q1 release exists: Databricks discloses on a financing cadence, not a quarterly one. All four run-rate releases are attached to funding events (Series K close, Series L raise, Series L final close, Coatue round close). No financing was announced in Feb-Apr 2026, so no metrics were published.
The real intermediate disclosure event is June 16, 2026 — the Data + AI Summit analyst briefing. Databricks "told analysts at the conference that annualized revenue jumped over 80% from a year earlier and now sits at $6.9 billion." Critically, the artificial-intelligence-products line was still being disclosed: "His company now gets $1.7 billion in annual revenue from AI products, up from $1.4 billion in February." And on margin: "Ghodsi declined to provide Databricks' current gross margin, but he said it will go lower," attributing it to "the consumption-based business model, agentic AI coming... The agents are generating way more queries" (CNBC, Jordan Novet, Jun 16 2026). No net retention rate and no cash-flow language appear anywhere in that coverage.
A fourth dropped metric the parent brief missed: gross margin, dark since December 2024. Primary verification: Sept 14 2023 Series I — "Achieved record Non-GAAP subscription gross margins of 85%." Dec 17 2024 Series J — "Continuing to achieve non-GAAP subscription gross margins above 80%." Every release since is silent. A secondary source reaches the same conclusion independently: "That's the last time we can find any reporting from Databricks regarding its gross margins" (Cautious Optimism, undated, accessed 2026-08-20).
Verbatim profitability and retention language, full series (all fetched from databricks.com in this run):
| Date | Quarter | Run-rate | Cash-flow language (verbatim) | Net retention (verbatim) | AI products | Gross margin |
|---|---|---|---|---|---|---|
| 2023-09-14 | Q2 FY2024 | — | — | — | — | "record Non-GAAP subscription gross margins of 85%" |
| 2024-12-17 | Q3 FY2025 | ~$3B expected | "expected to achieve positive free cash flow" | — | — | "above 80%" |
| 2025-06-11 | DAIS briefing | $3.7B by July | "close to being free cash flow positive" | ">140%, unchanged from last year" (CNBC) | — | — |
| 2025-09-08 | Q2 FY2026 | $4B | "Achieving positive free cash flow over the last 12 months." | "Net retention rate sustaining >140%." | ">$1B" | absent |
| 2025-12-16 | Q3 FY2026 | $4.8B | "Continuing to achieve positive free cash flow over the last 12 months." | "Net retention rate sustaining >140%." | ">$1B" | absent |
| 2026-02-09 | Q4 FY2026 | $5.4B | "Delivering positive free cash flow over the last 12 months." | "Sustaining net retention rate >140%." | "$1.4B" | absent |
| Q1 FY2027 | Feb-Apr 2026 | NO RELEASE | — | — | — | — |
| 2026-06-16 | mid-Q2 FY2027 | $6.9B | not reported | not reported | "$1.7 billion" | declined; "it will go lower" |
| 2026-07-16 | — | none | none | none | none | none |
| 2026-08-13 | Q2 FY2027 | $7B | "Continuing to deliver positive adjusted free cash flow over the last 12 months" | absent | absent | absent |
One trap worth recording. A web search for "Databricks Q1 FY2027" surfaces a "Q1 FY2027 Earnings Presentation, May 28, 2026" hosted on an investor-relations content-delivery network. It is SentinelOne (ticker S), not Databricks — verified by extracting the deck text, which names SentinelOne twelve times and defines its adjusted free cash flow as excluding Israeli Tax Authority assessment payments. Databricks is private and has no investor-relations site. Any future agent researching this question will hit the same false positive.
Convergences and contradictions
- The parent brief's headline claim survives, but its mechanism was wrong. It is correct that the "adjusted" qualifier is new and that net retention and artificial-intelligence-product revenue disappeared. It is not correct to model this as a quarterly slide, because Databricks does not report quarterly. Two of the three changes cannot be dated to a quarter at all; they can only be bracketed between disclosure events.
- The artificial-intelligence-products drop is a genuinely clean single-event change, and it is sharper than the parent brief argued. The number was public and fresh at $1.7 billion on June 16 2026. Eight weeks later Databricks published a metrics list that found room for Lakehouse at $1.5 billion and Lakebase at $100 million, and declined to update the larger, more strategically central artificial-intelligence figure. The company kept its data-warehouse number and dropped its AI number.
- A contradiction to flag against a tempting source. Sacra's Databricks page asserts "Net dollar retention remained above 140%" alongside "80% gross margins reported as of June 2024" and "gross margins in the 70-80% range." That page is undated, mixed-vintage aggregation and is not attributable to the June 2026 briefing. It should not be cited as evidence that retention was still disclosed in mid-2026.
- A comp figure in the parent brief needs re-checking. CNBC put Snowflake's market capitalisation at about $83 billion on June 16 2026; the parent brief carried roughly $116 billion for August 2026 via GuruFocus. A 40% move in eight weeks is possible but large enough that the EV/revenue comparison underpinning the "33x versus 21x" argument should be re-derived before publication.
Synthesis for RDCO
The question asked whether the retreat was a two-quarter slide or a single-release event. The honest answer is that it is neither, and the third option is better than both. Databricks did not slide across quarters, because it has no quarterly reporting obligation and never files. What it did was withdraw four metrics, one at a time, across roughly twenty months, in an order that tracks almost exactly how damaging each number became. Gross margin went dark first, after December 2024, which is precisely when inference cost-of-goods-sold began compressing margins across consumption-priced software. Net retention held through February 2026 and then stopped appearing. The artificial-intelligence-products run-rate survived one event longer, last seen at $1.7 billion in June 2026. The free-cash-flow qualifier came last, in August 2026, which is what you would expect: you only need the word "adjusted" once the unadjusted number stops cooperating.
That reordering is the piece. The memo's original spine was "they went quiet on retention in a great quarter." The better spine is "the profitability claim was already hollow eighteen months before the retention line disappeared, and the sequence tells you which number turned first." A junior analyst reading the August 2026 release sees one qualifier and one missing bullet. An analyst who diffs seven primary documents and one conference briefing sees a company that has been serially retiring metrics since its margin story broke, and has replaced them with product-level run-rates that are individually impressive and collectively non-comparable to anything it published before.
The strongest single addition is not a missing document at all. It is Ali Ghodsi, on the record with CNBC on June 16 2026, declining to give a gross margin and volunteering that it will go lower, with the mechanism attached: consumption pricing plus agents generating far more queries. The parent brief pre-registered kill test number two as "confirms it if gross margin compresses as growth accelerates." The chief executive confirmed the direction verbally, in public, fourteen months before any S-1 could. That converts a speculative bear case into one with a named source and a date, and it does so without requiring the filing at all. It also connects cleanly to work the vault already holds on why usage-based pricing decays margin ([[2026-08-18-mostlymetrics-usage-based-pricing-one-way-door]]) and on where inference costs land on the profit-and-loss statement ([[2026-07-09-mostly-metrics-llm-costs-pl]]), which means the piece can explain the mechanism rather than just observing the silence.
Two pieces of arithmetic sharpen the close, both explicitly Ray's own and not reported figures. First, artificial-intelligence products were $1.4 billion against a $5.4 billion run-rate in February (25.9% of mix) and $1.7 billion against $6.9 billion in June (24.6%). AI revenue was growing more slowly than the company and shrinking as a share of it, which is a sufficient reason to stop printing it. Second, the run-rate moved from $6.9 billion on June 16 to $7 billion on August 13, about $100 million across eight weeks, with an identical ">80%" growth rate quoted both times. The August headline was substantially pre-announced in June. Neither observation requires a filing, and both are checkable by any reader against the same two public sources.
Why this is in the vault
It closes the one open gap in [[2026-08-14-databricks-pre-s1-ic-memo-thesis]] with a definitive negative finding plus a fourth retreat metric, which means the Sanity Check Databricks IC memo can now be drafted rather than blocked: the disclosure-retreat argument is upgraded from three metrics over six months to four metrics over twenty months, anchored by a dated CEO quote on gross margin, and the "two-quarter slide" framing that the whole downstream IC-memo series was waiting on can be retired instead of chased.
Open follow-ups
- Did the June 16 2026 analyst briefing state a net retention rate that CNBC simply did not print? CNBC's June 2025 coverage of the same briefing by the same reporter did carry it, which is suggestive but not dispositive, and no briefing deck was published.
- What was Databricks' Q1 FY2027 (Feb-Apr 2026) exit run-rate? No company disclosure exists; the interval $5.4B (Jan 31) to $6.9B (mid-June) is the only bracket available, and any point estimate inside it is interpolation.
- Does paid research (Sacra, The Information, Bloomberg terminal) hold a dated Q1 FY2027 figure or a post-February retention number sourced from investor materials? All were inaccessible or undated in this run.
- What is Snowflake's actual current market capitalisation and EV/revenue multiple? The $83B (June, CNBC) versus $116B (August, GuruFocus) gap materially changes the parent brief's ~33x-versus-21x premium argument.
- How much of the 55%-to-80% growth acceleration is acquired revenue? Panther (announced June 16 2026), Lakewatch/security entry (March 2026), and Neon all land inside the acceleration window.
- Does "adjusted free cash flow" have a published Databricks definition anywhere, including investor decks or the Series L documents? Without the exclusion list, the qualifier cannot be sized.
Related
- [[2026-08-14-databricks-pre-s1-ic-memo-thesis]]
- [[2026-06-12-2026-2027-ipo-pipeline-lead-magnet]]
- [[2026-06-21-mostly-metrics-ndr-benchmarks]]
- [[2026-05-31-mostly-metrics-ndr-net-dollar-retention-decline]]
- [[2026-08-18-mostlymetrics-usage-based-pricing-one-way-door]]
- [[2026-07-09-mostly-metrics-llm-costs-pl]]
- [[2026-07-14-mostly-metrics-databricks-consumption-sales-comp]]
Sources
Vault:
~/rdco-vault/06-reference/research/2026-08-14-databricks-pre-s1-ic-memo-thesis.md~/rdco-vault/06-reference/research/2026-06-12-2026-2027-ipo-pipeline-lead-magnet.md~/rdco-vault/06-reference/2026-06-21-mostly-metrics-ndr-benchmarks.md~/rdco-vault/06-reference/2026-05-31-mostly-metrics-ndr-net-dollar-retention-decline.md~/rdco-vault/06-reference/2026-08-18-mostlymetrics-usage-based-pricing-one-way-door.md~/rdco-vault/06-reference/2026-07-09-mostly-metrics-llm-costs-pl.md
Web — primary, fetched and read verbatim in this run (company-stated run-rate figures, not audited):
- Series I, Sept 14 2023 — https://www.databricks.com/company/newsroom/press-releases/databricks-raises-series-i-investment-43b-valuation
- Series J, Dec 17 2024 (fiscal-calendar source) — https://www.databricks.com/company/newsroom/press-releases/databricks-raising-10b-series-j-investment-62b-valuation
- Series K, Sept 8 2025 — https://www.databricks.com/company/newsroom/press-releases/databricks-surpasses-4b-revenue-run-rate-exceeding-1b-ai-revenue
- Series L raise, Dec 16 2025 — https://www.databricks.com/company/newsroom/press-releases/databricks-surpasses-4-8b-revenue-run-rate-growing-55-year-over-year
- Series L close, Feb 9 2026 — https://www.databricks.com/company/newsroom/press-releases/databricks-grows-65-yoy-surpasses-5-4-billion-revenue-run-rate
- Strategic round term sheet, July 16 2026 (zero metrics) — https://www.databricks.com/company/newsroom/press-releases/databricks-raising-strategic-round-funding-188-billion-valuation
- Round close, Aug 13 2026 — https://www.databricks.com/company/newsroom/press-releases/databricks-grows-80-yoy-surpasses-7b-revenue-run-rate-scales
- Complete press-release index — https://www.databricks.com/press-releases-assets/sitemap/sitemap-0.xml
Web — reporting:
- CNBC, Jordan Novet, June 16 2026 — https://www.cnbc.com/2026/06/16/databricks-revenue-growth-tops-80percent-to-6point9-billion-annualized.html
- CNBC, Jordan Novet, June 11 2025 (fiscal-year and prior-year NRR reporting) — https://www.cnbc.com/2025/06/11/databricks-says-annualized-revenue-to-reach-3point7-billion-by-next-month.html
- Cautious Optimism, undated, accessed 2026-08-20 (secondary corroboration of gross-margin silence) — https://www.cautiousoptimism.news/databricks-continues-to-soar-as-private-company-but-those-margins-are-starting-to-shrink/
Explicitly rejected as evidence:
- Sacra Databricks company page (https://sacra.com/c/databricks/) — undated, mixed-vintage aggregation; its ">140% net dollar retention" line is not attributable to any 2026 disclosure event.
- "Q1 FY2027 Earnings Presentation, May 28 2026" on s28.q4cdn.com — this is SentinelOne, not Databricks.
Search paths exhausted without finding a Q1 FY2027 release: full press-release sitemap enumeration (598 URLs), Gatsby page-data endpoints for the 2026 archive, Wayback Machine snapshots of the newsroom index (May 16 and July 31 2026 captures, both client-rendered and uninformative), Wayback CDX enumeration, three web searches, and direct date-stamping of eleven candidate 2026 releases.
Ray's own arithmetic (estimates, not reported figures): AI-products share of run-rate 25.9% (Feb) to 24.6% (June); run-rate delta of ~$100M between June 16 and Aug 13 2026.