Fivetran: $5.6B valuation, IPO Readiness 71, Pre-IPO. Filed S-1 with the SEC on March 2026 — IPO actively in progress. Track live on The IPO Stack.
Automated data movement platform providing high-volume data integration for warehouses, lakes, and AI-ready vector databases.
Scores, valuations, and IPO signals for the companies that matter. 5-minute read, every Tuesday.
Top companies most likely to IPO in 2026, ranked by IPO Readiness Score.
Track Fivetran IPO timeline, funding rounds, investor activity, and valuation on TechStackIPO — the pre-IPO intelligence platform.
Fivetran filed its S-1 registration statement with the SEC on March 12, 2026. The IPO timeline depends on SEC review and market conditions. Track the latest signals on TechStackIPO.
Fivetran is valued at $5.6B as of September 2021. This valuation is based on its most recent private funding round tracked by TechStackIPO.
Accredited investors can access Fivetran shares through secondary market platforms, pre-IPO investment funds, and broker-dealer platforms that facilitate private company transactions. TechStackIPO's marketplace tracks available access options. Note: pre-IPO investments carry higher risk and limited liquidity compared to public market investing.
Fivetran scores 71/100 (Grade: B) on TechStackIPO's IPO Readiness Index. The score evaluates funding scale, valuation trajectory, funding momentum, stage progression, and company maturity. Scores above 70 indicate strong near-term IPO potential.
Yes — Fivetran filed an S-1 registration statement with the SEC on March 12, 2026, indicating an active IPO process.
Fivetran has raised $730M in total venture capital and private equity funding, with backing from Andreessen Horowitz, General Atlantic, CEAS Investments.
Fivetran's notable investors include Andreessen Horowitz, General Atlantic, CEAS Investments, Matrix Partners. Full investor details, funding round history, and lead investor breakdowns are available on TechStackIPO.
Fivetran is a Data & Analytics company. Automated data movement platform providing high-volume data integration for warehouses, lakes, and AI-ready vector datab.