Databricks vs Fanatics: employee equity compared
Secondary market prices, valuation trajectory, equity structure, and liquidity outlook for employees choosing between Databricks and Fanatics.
Databricks
Data & AI platform — Delta Lake, MLflow, Unity Catalog, plus the Mosaic foundation-model stack.
IPO highly anticipated, likely 2026–2027 given massive scale. One of the most closely watched pre-IPO names in tech.
Sticky enterprise ARR; ISO/NSO options; IPO imminent when ARR > $1B
Fanatics
Vertically integrated sports platform encompassing licensed merchandise, trading cards (Topps acquisition), and sports betting (Fanatics Sportsbook).
IPO possible 2026–2028 as scale builds. No confirmed timeline; tender offers may provide interim liquidity.
Consumer brand with network effects; RSU (no exercise cost); IPO when unit economics proven
Key differences for employees
Equity structure
Databricks grants ISO/NSO with strike prices ranging from $85–$110 depending on your grant year. Fanatics grants RSU — no exercise cost.
Secondary market signal
Databricks has no recent verified secondary signal — only the primary round ($134B) is shown. Fanatics has no recent verified secondary signal. A higher secondary premium typically signals stronger investor demand and potentially better near-term liquidity for employees looking to sell.
Revenue and growth
Databricks runs at $5.4B ARR, growing +65% YoY (fast). Fanatics runs at $7.3B ARR, growing +15% YoY. Revenue growth rate matters for equity because it drives the peer-multiple valuation — the method most correlated with exit multiples.
Liquidity timeline
Databricks: IPO highly anticipated, likely 2026–2027 given massive scale. One of the most closely watched pre-IPO names in tech.
Fanatics: IPO possible 2026–2028 as scale builds. No confirmed timeline; tender offers may provide interim liquidity.
Calculate your specific grant
Enter your actual shares, equity type, and strike price. PrivatePulse calculates your personal equity value using peer-multiple, secondary-market, time-decay, and sector-momentum methods.