Liftoff has filed for an IPO, and is set to trade on the Nasdaq as LFTO when the offer closes.
The official SEC filing described Liftoff as a performance marketing, monetisation and creative solutions specialist that’s powered by its AI-powered tool Cortex.
Liftoff says that as of September 30 2025, it works with over 1,000 advertisers globally and over 140k apps have integrated its SDK, serving roughly 1.4bn daily active users worldwide.
The company is backed by investment giant Blackstone, which will retain control of the company through voting rights once the IPO is complete. Bloomberg notes that Blackstone acquired a majority stake in Liftoff in 2021. Liftoff later sold a minority stake in its business to General Atlantic in a deal which valued the firm at $4.3bn.
The SEC filing states that Liftoff’s net loss for the nine months ended September 30 2025 was $25.6m, but also notes that over the trailing eight quarters ended September 30 2025, net loss margin has improved from (38)% to (3)% as its models became more efficient, with adjusted EBITDA margins up from 43% to 56%. For the nine months ended September 30, 2025 Liftoff generated year-over-year core advertising revenue growth of 43%, with a net loss margin of (5)% and Adjusted EBITDA margin of 54%.
Goldman Sachs, Jefferies and Morgan Stanley are jointly leading the proposed IPO, which is subject to market and other conditions. The filing is not a guarantee the offering will be completed, and the number of shares to be offered, the price range and other terms for the proposed offering have not yet been determined.
Liftoff says in the SEC filing that its business is driven by helping mobile performance marketers to achieve “precise, per-user return on investment tracking, enabling advertisers to scale spend rapidly when profitability goals are met.”
It continues: “Our unified DSP and SSP platform, powered by Cortex and augmented with our configurable Adapters, creates a compounding data flywheel. As advertisers hit performance KPIs, they may increase their spend – feeding more data into Cortex, improving model accuracy, and campaign outcomes.”
