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Tuesday Sep 1 2026 09:23
29 min

Databricks has become one of the world’s most valuable private technology companies, supported by rapid growth in enterprise data, cloud computing and artificial intelligence. In August 2026, the company closed a $5 billion strategic funding round at a $190 billion valuation after exceeding a $7 billion revenue run rate. Those figures have intensified interest in a potential Databricks IPO.
However, strong growth does not mean a listing is imminent. This guide examines the Databricks IPO status in 2026, its possible IPO date, financial performance, valuation and the ways investors may seek exposure before or after the company becomes public.
Databricks is an enterprise data and artificial intelligence company founded in 2013 by seven creators of Apache Spark, an open-source engine for processing large datasets.
Its Data Intelligence Platform helps organisations store, process, govern and analyse data while developing machine-learning models, AI applications and autonomous agents. It operates across Amazon Web Services, Microsoft Azure and Google Cloud, giving companies flexibility over where they manage their data.
Databricks says its technology is used by more than 20,000 organisations, including approximately 70% of the Fortune 500. Its position between cloud infrastructure, databases, analytics and artificial intelligence makes it an important competitor in several fast-growing technology markets.
Databricks popularised the “data lakehouse” architecture, which combines elements of a data lake and a data warehouse.
A data lake can store large quantities of structured and unstructured information, while a data warehouse organises information for reporting and business intelligence. Historically, organisations often used separate platforms for these functions, creating additional cost and complexity.
The Databricks Lakehouse allows data engineers, analysts and AI developers to work from a more unified environment. Businesses can use the same underlying data for reporting, machine learning, generative AI and application development without moving it repeatedly between disconnected systems.
The company has expanded beyond its original data-engineering platform:
Databricks acquired MosaicML in 2023 to strengthen its generative AI capabilities. Its subsequent expansion into operational databases and AI agents has increased the company’s addressable market beyond traditional analytics.
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Databricks primarily operates a consumption-based enterprise software model. Rather than charging every customer a single fixed subscription, it earns revenue according to the workloads and computing resources used on its platform.
Consumption is commonly measured through Databricks Units, or DBUs. The number of DBUs used depends on the product, computing configuration and type of workload. Revenue can therefore expand as customers process more data, run additional analytics or deploy more AI applications.
Customers can purchase Databricks directly or through cloud marketplaces operated by AWS, Microsoft Azure and Google Cloud. Its main revenue sources include data engineering, warehousing, AI development, database consumption, governance products, enterprise support and professional services.
This model can support strong expansion within existing accounts. However, it also carries a risk: customers can reduce consumption when they optimise workloads or cut cloud-computing costs.
According to the company’s August 2026 financial update, Databricks delivered more than 80% year-on-year growth during its second quarter.
August 2026 Metric | Latest Reported Figure |
|---|---|
Revenue run rate | More than $7 billion |
Year-on-year growth | More than 80% during Q2 |
Latest private valuation | $190 billion |
Latest strategic funding | $5 billion |
Lakehouse revenue run rate | More than $1.5 billion |
Lakebase revenue run rate | More than $100 million |
Customers above $1 million run rate | More than 1,000 |
Customers above $10 million run rate | More than 100 |
Adjusted free cash flow | Positive over the previous 12 months |
Revenue run rate is an annualised estimate based on current business activity; it is not identical to audited annual revenue. Databricks is also private and does not publish the complete financial statements expected from a listed company.
Positive adjusted free cash flow suggests improving financial maturity, but investors will need more information about operating margins, stock-based compensation and GAAP profitability before evaluating a future IPO.
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There is no confirmed Databricks IPO date as of September 2026. Databricks has not announced an exchange, ticker symbol, offer price or first trading date.
The company has considered becoming public for several years. In June 2026, CEO Ali Ghodsi said Databricks would eventually become a public company but described 2026 as “a terrible year to go public.” His comments suggested management would prefer a quieter listing window rather than competing with several very large technology offerings for investor attention.
Consequently, a 2027 or later listing appears more plausible. This remains an inference based on management’s comments, not a confirmed Databricks IPO date.
IPO Detail | Databricks Status in 2026 |
|---|---|
Publicly traded | No |
Confirmed IPO date | No |
Publicly announced SEC filing | No |
Confirmed exchange | No |
Stock ticker | Not announced |
IPO offer price | Not available |
Latest private valuation | $190 billion |
Management’s long-term intention | To become public eventually |
Possible timing | 2027 or later, but unconfirmed |
Databricks has not publicly announced an S-1 registration statement. A company can submit an initial filing confidentially, however, so the absence of a public document does not prove that no internal preparations are taking place.
Older reports expecting a 2025 or early-2026 IPO should now be treated as outdated. The company’s latest financing also reduces the urgency to raise capital through public markets.
Databricks can afford to be selective about its IPO timing. It has raised substantial private capital, reported positive adjusted free cash flow and continues to attract major institutional investors.
Remaining private allows management to invest aggressively in databases, artificial intelligence and acquisitions without the pressure of quarterly public earnings. Private funding and employee liquidity programmes can also address some shareholder needs without an immediate listing.
The company must also consider valuation. A disappointing IPO could leave Databricks trading below its latest $190 billion private valuation. Waiting for more revenue from Lakebase, Genie and its AI-agent products could give the business a stronger case for supporting that valuation.
An eventual IPO would still offer important benefits, including wider employee liquidity, access to public capital and publicly traded shares that could be used for acquisitions.
The strongest signal would be a public S-1 registration statement containing Databricks’ audited financial results, risks, ownership structure and intended use of IPO proceeds.
Other signs could include the appointment of lead underwriters, confirmation of an exchange and ticker, publication of an indicative price range and the launch of an investor roadshow. Until those developments occur, any proposed Databricks IPO date remains speculative.
Databricks’ latest funding round provides the most relevant valuation benchmark. In August 2026, the company closed a $5 billion investment at a $190 billion valuation, up from approximately $134 billion earlier in the year.
Funding Period | Reported Valuation |
|---|---|
2021 Series H | Approximately $38 billion |
2023 Series I | Approximately $43 billion |
2024 Series J | Approximately $62 billion |
2025 Series K | More than $100 billion |
February 2026 financing | Approximately $134 billion |
August 2026 strategic round | Approximately $190 billion |
At $190 billion, Databricks is valued at approximately 27 times its current $7 billion revenue run rate. That is a demanding multiple, although the company’s growth rate is also unusually high.
Private valuations do not guarantee public-market outcomes. Private investors may receive preferences or protections unavailable to ordinary shareholders. Public investors will also examine audited revenue, margins, stock-based compensation, dilution and free cash flow.
A weaker software market could produce an IPO valuation below $190 billion. Continued rapid growth and strong demand for AI stocks could support a valuation between $190 billion and $250 billion. A figure above $250 billion would require highly favourable market conditions and confidence that Databricks can sustain exceptional growth.
These are illustrative scenarios, not confirmed IPO targets.
A reliable Databricks IPO price cannot be calculated without knowing the number of shares outstanding and the structure of the offering.
For example, a $190 billion company could have a share price of $50, $100 or $200 depending on how many shares exist. Databricks could also conduct a stock split before listing, changing the numerical share price without changing its overall valuation.
Investors should therefore focus on market capitalisation, dilution and financial performance rather than assuming a lower IPO price means the stock is cheaper.
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If Databricks lists, its opening sessions could be highly volatile. Limited tradable supply, strong brand recognition and enthusiasm around AI could push the price above its offer level. Profit-taking or concerns about valuation could produce the opposite result.
Potential long-term growth drivers include:
The risks are equally important. Databricks competes with Snowflake in cloud data platforms and with Microsoft, Amazon and Google across databases, analytics and AI. Oracle, Palantir and MongoDB also overlap with parts of its product portfolio.
Other risks include slower enterprise spending, customer cost optimisation, data-security incidents, high stock-based compensation and stricter AI regulation. After the IPO, lock-up expirations could increase the supply of tradable shares and place temporary pressure on the price.
>> Read more: Upcoming IPOs 2026: The Biggest Companies to Watch and Major Listings So Far
Most retail investors cannot currently purchase Databricks shares through a normal brokerage account. Private-company shares are generally subject to eligibility requirements, limited availability and transfer restrictions.
Accredited investors may find Databricks exposure through private secondary marketplaces such as Forge, EquityZen or EquityBee. These platforms can facilitate transactions involving employee equity or shares held by early investors. Availability is not guaranteed, and minimum investments may be high.
Some venture or innovation funds may also hold Databricks. This route provides exposure to an entire portfolio rather than Databricks alone, meaning fees and the performance of other holdings can materially affect returns.
A third option is to wait for the IPO. Public investors would gain access to a prospectus, audited financial statements and a more transparent market price. However, retail investors may not receive shares at the original offer price, and the stock could be volatile when public trading begins.
Investors can also consider listed companies exposed to similar themes, including Snowflake, Nvidia, Microsoft, Alphabet, Amazon, Palantir and MongoDB. These companies do not provide ownership in Databricks, but they participate in related cloud, data and AI markets.
Investment Route | Typical Eligibility | Liquidity | Main Limitation |
|---|---|---|---|
Private secondary market | Often accredited investors | Low | Restricted access and limited information |
Venture or innovation fund | Depends on the fund | Varies | Indirect exposure and management fees |
Wait for the IPO | General access after listing | Potentially high | Allocation and market price are uncertain |
Public AI and data stocks | General market access | Usually high | No direct Databricks exposure |
If Databricks completes an IPO and its shares are added by a CFD provider, traders may be able to speculate on changes in the Databricks share price without owning the underlying stock.
A trader expecting the price to rise could open a long CFD position. A trader expecting weakness following an expensive IPO, disappointing earnings or a lock-up expiration could open a short position. This ability to trade price movements in either direction is one of the main differences between share CFDs and directly buying shares.
CFDs also use margin, allowing traders to open a position with less capital than the position’s full market value. However, leverage magnifies losses as well as potential gains. CFD traders do not receive voting rights, and trading costs can include spreads and overnight financing.
Markets.com offers CFDs on selected publicly listed shares, alongside web and mobile trading platforms, MT4, MT5, charting features, market news and risk-management tools. Databricks is not currently public, so this does not mean Markets.com offers or will necessarily add a Databricks CFD. Instrument availability varies by entity and jurisdiction.
Register with the Markets.com entity available in your jurisdiction and review the applicable trading conditions.
Submit the required identity and address documents and complete any applicable suitability assessment.
Search the platform’s current share CFD list. If Databricks eventually becomes public, check whether the newly listed stock has been added rather than assuming it is automatically available.
Review the IPO prospectus, valuation, revenue growth, cash flow and competitor multiples. After listing, earnings reports, technical levels, trading volume and lock-up dates may also influence Databricks price movements.
Select Buy if you expect the underlying share price to rise or Sell if you expect it to decline. A correct view of the company does not guarantee a profitable trade because timing, execution and costs also matter.
Choose a position size that reflects the volatility of a newly listed technology stock. Consider using stop-loss and take-profit orders while monitoring margin requirements and potential price gaps.
Track company announcements, market sentiment, available margin and overnight financing. Close the position manually or allow an attached risk-management order to execute.
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Databricks has the growth, scale and financial momentum associated with a major public-market candidate. However, its $190 billion valuation, access to private funding and positive adjusted free cash flow mean it does not urgently need IPO capital.
Management has indicated that Databricks will eventually become public but that 2026 is an unattractive year to list. A 2027 or later IPO therefore appears more plausible, although no timetable has been confirmed. Investors should wait for an official filing rather than relying on speculative dates and should carefully assess valuation, liquidity and leverage risks when choosing how to gain exposure.
No. Databricks remains a privately owned company, and its shares are not listed on a public stock exchange. Most retail investors therefore cannot buy Databricks stock through a standard brokerage account.
Databricks has not confirmed an IPO date. CEO Ali Ghodsi has said the company will eventually become public but indicated that it would not list in 2026. A 2027 or later IPO is possible, but this remains unconfirmed.
Databricks has not publicly announced an S-1 registration statement. It is possible for a company to begin part of the filing process confidentially, so investors should monitor official Databricks announcements and SEC disclosures.
No offer price has been announced. The final price will depend on Databricks’ valuation, share count, offering structure and investor demand. Its latest $190 billion private valuation does not determine the eventual numerical share price.
Databricks has not announced a ticker symbol. Investors should not assume that the company will use “DATA,” “DBX” or another proposed symbol until it appears in an official filing.
Direct access is limited. Some private marketplaces or venture funds may offer exposure, but eligibility, minimum investments, fees and liquidity vary. Many investors may prefer to wait until the shares begin public trading.
Databricks does not publish the complete financial statements required from a public company. It has reported positive adjusted free cash flow over the previous 12 months, but this is not the same as confirmed GAAP net profitability.
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