Open dataset · CC BY 4.0

Modeled IPO Odds: Private Companies

A transparent, documented probability that a company goes public within 24 months.

8 entities · computed via Modeled IPO Odds methodology. Every figure is cross-verified against ≥2 independent sources.

CompanyModeled IPO OddsAs ofSources
Databricks50%2026-02-09verified ✓
Stripe45%2026-06-04verified ✓
OpenAI40%2026-06-04verified ✓
Anthropic88%2026-06-04verified ✓
SpaceX60%2026-06-04verified ✓
Anduril47%2026-05-13verified ✓
Ramp50%2026-06-04verified ✓
Perplexity44%2025-09-10verified ✓

Modeled IPO Odds: frequently asked questions

Which private company has the highest modeled ipo odds?
Anthropic leads the dataset at 88% (as of 2026-06-04), across 8 cross-verified pre-IPO companies.
How is modeled ipo odds calculated?
A transparent, documented probability that a company goes public within 24 months. Formula: p = logistic(−1.6 + 0.18·(age/5) + 2.4·S1 + 0.5·pace + 1.8·compRate − 0.12·staleness). Each figure is cross-verified against at least two independent public sources.
How many companies are in the Modeled IPO Odds dataset, and how often is it updated?
8 private companies, last updated 2026-02-09. Values refresh continuously as new public marks and filings are verified.
Can I reuse this modeled ipo odds data?
Yes — the dataset is free under CC BY 4.0 with attribution to econ.markets. It is informational, not investment advice.

By econ.markets research desk. Methodology: p = logistic(−1.6 + 0.18·(age/5) + 2.4·S1 + 0.5·pace + 1.8·compRate − 0.12·staleness). Reuse under CC BY 4.0 with attribution to econ.markets.

Disclaimer: modeled estimates from public data for information only — not investment advice or a guarantee.