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
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Month 1
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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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What pre-IPO signals best predict first-day returns?▼
Media hype score (measured 14 days before IPO) shows the strongest correlation with first-day returns across our dataset. Companies with scores above 80 averaged significantly higher pops. Revenue growth velocity and underwriter tier (bulge bracket vs boutique) are also strong predictors. Note: high first-day returns do NOT predict good 1-year returns — the correlation is negative.
Does a high first-day IPO return predict good 1-year performance?▼
No. The data shows a negative correlation between first-day IPO returns and 1-year returns. Snowflake (+111% day 1), Airbnb (+112% day 1), and DoorDash (+85% day 1) all significantly underperformed over 12 months versus their IPO pop. Meanwhile, Datadog (+34% day 1) and Cloudflare (+20% day 1) delivered superior 1-year performance. A large first-day pop often indicates underpricing, not long-term quality.
What is funding velocity and how does it predict IPO outcomes?▼
Funding velocity measures the months between a company's last private funding round and its IPO filing. Companies with fast velocity (under 12 months) tended to have better first-day returns, suggesting strong investor demand pulled them public quickly. Companies with slow velocity (24+ months) sometimes showed stronger 1-year performance, as they had more time to mature their financials before going public.
How many IPOs are in this dataset?▼
The dataset currently contains 29 verified tech IPOs from 2019-2026, including Reddit, Arm, Snowflake, Coinbase, Airbnb, DoorDash, CrowdStrike, Datadog, Cloudflare, Zoom, Palantir, Rivian, Roblox, GitLab, Confluent, UiPath, Monday.com, and more. The database grows with every new tech IPO. All outcome data is verified against SEC EDGAR filings and Bloomberg closing prices.