Perplexity AI
AI-native answer engine.
The four valuation methods disagree significantly (8.3× spread). Treat this as a wide reference range only — not a reliable point estimate.
No verified public secondary-market signal available for Perplexity AI. The estimate relies on last confirmed financing, peer multiples, sector momentum, and time decay.
No verified public secondary signal is available. Hiive/Forge links are monitoring links only, not evidence of a current executable price.
LinkedIn count — directional proxy only. Historical figure sourced via Wayback Machine; treat ±15% as normal variance.
Complete company data
Every input we use, where we got it from, and how much we trust it.
Source review: key primary-round source URL still pending. Figures are retained as historical reference and marked low-confidence where applicable.
| Field | Value | Confidence | |
|---|---|---|---|
| Company fundamentals | |||
| Sector | Consumer AI | high | |
| Headquarters | United States | high | |
| Founded | 2022 | high | |
| Website | perplexity.ai | high | |
| Last primary round | |||
| Post-money valuation | $22.6B | medium | |
| Round name | Series E extension | high | |
| Date | 2026-01-09 (6 months ago) | high | |
| Lead investor | Institutional Venture Partners | high | |
| Amount raised | Not disclosed | medium | |
| Capitalization | |||
| Total fully-diluted shares | 43.75M | low | |
| Implied share price (illustrative only) | ~$578 | low | |
| Primary equity type granted | ISO/NSO | high | |
| Financials | |||
| Annual revenue (est.) | $450M | medium | |
| EV / Revenue (implied) | 50.2x | medium | |
| Headcount | |||
| Employees (now) | 800 | medium | |
| Employees (12 months ago) | 450 | medium | |
| 12-month headcount growth | +78% | medium | |
| Methodology inputs | |||
| Sector ETF proxy | BOTZ | medium | |
| ETF annual return (trailing 3-yr) | 32% | medium | |
Funding history
Primary rounds reported in Bloomberg, WSJ, TechCrunch, Reuters, or SEC Form D filings (efts.sec.gov). Linked per round below.
Secondary market signals
Secondary market signals: bid/ask/trade indications from Hiive (hiive.com), Forge Global, Caplight Index, and tender prices reported in the press.
No active listings found
We monitor Hiive, Forge Global, and EquityZen for Perplexity AI listings. As of July 2026, no verified secondary market activity has been recorded.
Secondary listings for private companies appear without announcement and typically close within days. When a listing appears, it often signals an upcoming tender offer or funding round.
Primary round history as valuation signal
In the absence of secondary market data, the funding history below is the primary valuation anchor. Method C (time-decay) uses this data to estimate current value.
Get notified when a listing appears
Pro subscribers get notified within 2 hours when a secondary listing for Perplexity AI is detected. Most employees first hear about tender offers days after the market already knows.
Check directly: Hiive ↗ · Forge Global ↗ · SEC Form D ↗
Public peer comparables
Public peer comparables: editorial selection of public companies with the closest business model. EV/Revenue and growth from public 10-Q filings and Bloomberg, refreshed quarterly.
| Ticker | Company | EV / Revenue |
|---|---|---|
| META | Meta Platforms, Inc. | 7.24x |
| NFLX | Netflix, Inc. | 6.66x |
| NVDA | NVIDIA Corporation | 18.88x |
| UBER | Uber Technologies, Inc. | 2.75x |
Typical strike prices by cohort
Strike ranges by cohort: aggregated from Glassdoor, Teamblind threads, Carta's published industry data and reports from employees. Indicative only — your actual 409A at grant time is the only authoritative number.
Confidence breakdown
How much we trust each of the four valuation methods for this specific company, and why.
Worked example for an employee
Illustrative mechanics only — this shows how the equity model works, not a reliable value estimate.
This example shows equity mechanics only. It is not a reliable estimate of current value because model support is weak (confidence 34%, spread 8.3×).
Show illustrative values (not a reliable estimate) ▸
Transparent assumptions
What we assumed where exact data isn't available. If any of these don't match your situation, the numbers above will be off.