Databricks is the most fundmentally sound company in the 2026 AI IPO pipeline — and potentially the most overlooked. While SpaceX, OpenAI, and Anthropic generate the most search volume and media coverage, Databricks is the only AI-adjacent company in the cohort that is both growing at 65%+ and generating positive free cash flow. No projected losses. No speculative future profitability. Real revenue, real cash, and a CEO who has said it's "not a question of if but when."

This guide covers what Databricks actually does, where it stands in its IPO process as of June 2026, how the valuation stacks up, and how accredited investors can access shares before the public listing.

Databricks IPO Status as of June 2026

No public S-1 filed as of mid-2026. H2 2026 or early 2027 listing expected.

Databricks has not filed a public or confidential S-1 registration statement with the SEC as of mid-June 2026. The most authoritative public statements:

• CEO Ali Ghodsi: "It's not a question of if but when" (2025)

• CEO Ali Ghodsi (2026): Has not ruled out going public in 2026

• Company position: "IPO-ready" with all necessary board, auditing, and reporting structures in place

The company confirmed in its December 2025 Series L announcement that it has crossed a $4.8 billion revenue run rate, growing more than 55% year over year, with positive free cash flow. By February 2026, the revenue run rate had grown further to $5.4 billion at 65% year-over-year growth.

Most likely timeline: S-1 filing in Q3 2026 with a public listing in late 2026 or early 2027, based on CEO public comments and the company's pre-IPO debt financing structure.

IPO market dependency: CEO Ali Ghodsi has indicated the company is "ready when it decides" — meaning the trigger is strategic timing, not readiness. If SpaceX and Anthropic list successfully in 2026 and absorb institutional demand cleanly, Databricks may accelerate its own filing to catch the window.

What Databricks Actually Does

Databricks is the leading data intelligence platform — the infrastructure layer where enterprises store, process, analyze, and build AI applications on top of their data. Founded in 2013 by the creators of Apache Spark (the open-source distributed computing framework that most large-scale data processing runs on), Databricks has become the default platform for AI and ML development at enterprise scale.

Core platform: The Databricks Lakehouse Platform combines data warehousing, data engineering, machine learning, and AI development in a single unified environment. Rather than forcing companies to maintain separate systems for different data tasks, Databricks provides one platform that handles it all.

Why enterprises use it: A Fortune 500 company that wants to build AI models on its proprietary data — product recommendations, fraud detection, customer churn prediction — needs to (1) store that data, (2) process and clean it, (3) train models on it, and (4) deploy those models at scale. Databricks handles every step of this workflow.

Investor base signals confidence: Microsoft, Google, Nvidia, and Andreessen Horowitz have all invested in Databricks — companies that have deep visibility into enterprise technology spending and are betting that Databricks becomes critical infrastructure.

Financial Metrics: Why Databricks Stands Apart

Databricks is the only profitable company in the 2026 AI IPO pipeline. This distinction matters enormously for how it should be valued — and for investors comparing it to OpenAI and Anthropic.

Revenue: $5.4 billion annualized run rate (February 2026), growing 65% year over year Free cash flow: Positive (confirmed; specific figure not publicly disclosed) Net retention rate: Above 140% — meaning existing customers are spending 40%+ more each year AI product revenue: More than $1.4 billion, approximately 26% of total revenue Series L funding: $4 billion closed December 2025 at $134 billion valuation; plus $1.8 billion debt facility (JPMorgan, January 2026) Total capital raised: More than $7 billion in combined equity and debt

The 140%+ net retention rate is the most telling metric. It means that for every $100 Databricks bills to customers in one year, it bills $140+ the following year — purely from existing customers expanding their usage, with new customers on top. This is the compounding flywheel that justifies premium software multiples.

Valuation Analysis: Is $134 Billion Justified?

At $134 billion and $5.4 billion in annualized revenue, Databricks trades at approximately 25x forward revenue. For context:

At 65% growth with positive free cash flow, Databricks deserves a premium to Snowflake. The question is whether 25x is the right premium — or whether the private market has gotten ahead of public market willingness to pay.

The bear case: at IPO, public markets may re-rate Databricks more conservatively than private investors have, particularly if the AI infrastructure sector faces multiple compression. At $134B private valuation, the IPO needs to price at or above this level to avoid a "down round" dynamic in the public markets.

The bull case: Databricks' enterprise AI platform is genuinely critical infrastructure. The 140%+ net retention, profitable operations, and $1.4B in AI-specific revenue justify continued premium pricing. If growth accelerates further, the multiple expands rather than compresses at IPO.

How to Access Databricks Pre-IPO

Secondary market platforms: Hiive, Forge Global, and EquityZen list Databricks secondary transactions from existing shareholders. Transaction minimums are typically $100,000+ for direct purchases; SPVs lower per-LP minimums to $25,000–$100,000.

Unlike Anthropic (which has explicitly prohibited unauthorized SPVs) and OpenAI (which has warned about void transfers), Databricks has not issued comparable transfer restriction warnings as of mid-2026. Standard secondary market access protocols apply: board-approved transfer is required, ROFR must be resolved.

SPVs: GPs who have secured Databricks secondary access syndicate positions to accredited LPs. Standard 10–20% carry, no management fee on single-deal vehicles.

ARKVX and DXYZ: Both funds hold Databricks positions accessible through standard investment channels, with the usual NAV premium caveat for DXYZ.

Key investment consideration: Databricks is the most time-sensitive of the five 2026 IPO pipeline companies for pre-IPO access. Once an S-1 is filed, the window closes quickly — secondary market prices jump on S-1 announcement, and the IPO typically prices 4–6 weeks after the public filing. At current H2 2026 filing expectations, the pre-IPO window may be measured in months.

The Snowflake Comparison: What Databricks' IPO Could Look Like

The most relevant comparable for Databricks' IPO is Snowflake's 2020 debut — the largest software IPO in history at the time. Snowflake:

• IPO'd at $33/share, pricing at $12B market cap

• Closed its first trading day up 112% at ~$24B

• Peaked at over $100B market cap in November 2021

• Has since settled at a market cap reflecting more normalized software multiples

Databricks is a more mature company at IPO (significantly higher revenue, already profitable) and is entering a market that has experienced and absorbed the Snowflake euphoria cycle. The comparable suggests that:

1. Databricks will likely price at a discount to its $134B private valuation to ensure first-day pop

2. The IPO may still be heavily oversubscribed given institutional demand for profitable AI infrastructure

3. Post-IPO performance will depend on whether the stock gets classified as "AI infrastructure" (Palantir-multiple) or "enterprise data" (Snowflake-multiple)

2026 AI Infrastructure Market Context

Databricks competes in the AI platform layer that every enterprise is currently trying to build. The market dynamics:

Enterprise AI spending is accelerating: Every major company is investing in AI infrastructure. Databricks is the picks-and-shovels play on this trend — it doesn't matter which AI model wins; if enterprises build AI on their data, they need Databricks.

Open source roots create a moat: Apache Spark, Delta Lake, and MLflow — all open-source frameworks originated by Databricks — are embedded in enterprise data stacks globally. Even companies not paying for Databricks are running on its open-source DNA, creating a natural upgrade path.

Strategic investor alignment: Microsoft (Azure), Google (GCP), and Nvidia (GPU) all have commercial relationships with Databricks alongside their equity positions. These aren't passive investments — they represent distribution partnerships that drive Databricks workloads across their respective cloud and hardware platforms.

Tax Considerations

Databricks investments through SPVs generate K-1 tax forms annually. At exit, gains on shares held more than one year qualify for long-term capital gains treatment (20% federal + 3.8% NIIT for high earners).

At $134B valuation and $5.4B in ARR, Databricks is priced at roughly 25x revenue — high by traditional SaaS standards, but consistent with elite AI-adjacent infrastructure companies. A successful IPO at or above this valuation would generate substantial taxable gains for pre-IPO investors.

QSBS eligibility: Databricks does not qualify for Section 1202 QSBS exclusion given its scale.

Where Allocations Fits In

For GPs building Databricks SPVs from secondary market purchases, Allocations provides formation, KYC/AML compliance per FinCEN's January 2026 requirements, subscription management, and K-1 administration. Given the H2 2026 S-1 timeline expectation, GPs who want to structure Databricks SPVs should be moving now — not waiting for the S-1 filing, at which point the pre-IPO window closes.

Key Milestones to Watch

Frequently Asked Questions

When will Databricks IPO? No confirmed date as of mid-2026. CEO Ali Ghodsi has said 2026 is possible without committing to it. Analysts widely expect an H2 2026 S-1 filing with a late 2026 or early 2027 listing. Watch for a confidential S-1 filing announcement as the trigger signal.

What is Databricks' current valuation? $134 billion, set in the December 2025 Series L funding round at $4 billion. The company also raised $1.8 billion in debt in January 2026, bringing total capital to over $7 billion.

Is Databricks profitable? Yes — unlike OpenAI and Anthropic, Databricks generates positive free cash flow. It is the only profitable company in the AI IPO pipeline and one of the strongest fundamental stories in the entire cohort.

How does Databricks compare to Snowflake? Databricks is growing faster than Snowflake was at IPO, has higher revenue, and is already profitable. The key difference is that Databricks' platform is broader (data engineering + ML + AI in one platform) while Snowflake is more narrowly focused on the cloud data warehouse layer. Databricks competes with and is increasingly displacing Snowflake in many enterprise accounts.

Can I buy Databricks through my IRA? Yes, through a self-directed IRA that supports private placements. See our IRA/SPV guide for the full mechanics. Plan for a potential K-1 filing requirement and UBIT analysis if the investment uses leverage.