🔬 IPO Signal Analysis

What Predicts
a Successful IPO?

The IPO Stack's proprietary dataset mapping pre-IPO signals to actual outcomes across 29+ tech IPOs from 2019–2026. Updated as new IPOs complete.

29
IPOs Analyzed
Signal Data Points
Significant Correlations
2019–2026
Coverage Period

📋 Key Findings (2019–2026)

The IPO Stack has analyzed 29 tech IPOs from 2019 to 2026 — covering Snowflake, Airbnb, DoorDash, Coinbase, Arm, Reddit, CrowdStrike, Datadog, Cloudflare, Zoom, Palantir, and more — mapping 8 pre-IPO signal types against 6 outcome metrics. Key findings: (1) Media hype score (measured 14 days before IPO) is the strongest predictor of first-day returns; (2) Revenue growth rate is the strongest predictor of 1-year performance; (3) Big-4 auditor engagement is present in 97% of successful IPOs; (4) High first-day returns do NOT predict good 12-month performance — the correlation is negative; (5) Bulge bracket underwriters are associated with higher first-day pops but also higher volatility. All data sourced from SEC EDGAR S-1 filings, Bloomberg terminal data, and company press releases. Confidence intervals use Pearson r with p<0.05 significance threshold, minimum n=5.

📈 Top Signal→Outcome Correlations

Select an outcome metric to see which pre-IPO signals most strongly predicted it.

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💡 Data Insights

Specific signal buckets and what the data shows.

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📊 Sector Performance at IPO

Average returns by sector across the dataset. Minimum 2 IPOs per sector.

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📋 Full IPO Outcomes Database

All 29 IPOs in the dataset. Returns are percentage change from offer price.

Company Sector IPO Date Offer Price Day 1 Month 1 6-Month 1-Year Type
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🔬 Methodology

  • Signal capture: All pre-IPO signals are captured from SEC EDGAR S-1 filings, company press releases, and verified financial media (Bloomberg, Reuters, WSJ) — recorded as they were known BEFORE the IPO.
  • Outcome data: All return figures are price changes from the IPO offer price to closing price at specified intervals. Source: Bloomberg terminal data and SEC EDGAR prospectus pricing supplements.
  • Correlation method: Pearson correlation coefficient between continuous signal values and outcome returns. Significance threshold: p<0.05. Minimum sample: n=5.
  • Media hype score: Composite score (0-100) based on Tier 1 media mention volume in the 90 days before IPO, editorial sentiment, and social signal proxies.
  • Funding velocity: Months between company's last private funding round and S-1 filing date.
  • Bulge bracket underwriter: Binary (1/0) — whether Goldman Sachs, Morgan Stanley, JPMorgan, BofA, Citi, or Barclays led the offering.
  • Data quality: All outcomes labeled "verified" have been cross-referenced against at least 2 independent sources. "Estimated" indicates single-source data.
  • Update cadence: Correlations are recomputed weekly as new IPO outcome data comes in.
  • Disclaimer: Historical correlations do not guarantee future performance. This analysis is for informational and research purposes only, not investment advice.

Get Per-Company Signal Analysis

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❓ Frequently Asked Questions

What pre-IPO signals best predict first-day returns?
Does a high first-day IPO return predict good 1-year performance?
What is funding velocity and how does it predict IPO outcomes?
How many IPOs are in this dataset?