Cube
+34%
est. 2Y upside i
Headless BI and semantic layer platform for data applications
Rank
#1269
Sector
Data Infrastructure
Est. Liquidity
~3Y
Data Quality
Data: LowCube offers moderate expected upside (~34%) over 2 years, but risks are high due to critical incumbent competition and lack of recent valuation data.
Last updated: July 3, 2026
AI/agentic analytics leadership drives multiple expansion to 15x on $20.1M revenue, yielding $301.5M exit. Net of 20% dilution, upside 131%.
Revenue grows to $20.1M with multiple converging to 10x, exit at $201M. After 20% dilution, upside 48%.
Incumbent competition compresses multiple to 6x, exit at $120.6M. After 20% dilution and preference overhang, common upside -20%.
Preference Stack Risk
severeFunding Intensity
40%Total funding ($48M) represents 40% of estimated valuation, creating significant preferred overhang.
Dilution Risk
highWith $48M total funding and moderate burn, additional raise likely within 2 years, diluting common by ~20%.
Secondary Liquidity
noneNo secondary market data available; equity is illiquid until exit.
Technology — 6 roles
- Executive Head, Information Security · London
- Lead Software Engineer · London
- Quality Engineering Manager · London
- +3 more →
Sales — 3 roles
- Global Account Director · New York
- Head of Sales, Mid Market · New York
- Sales Director · Toronto
AI — 2 roles
- AI Engineer · London
- Senior Data Platform Manager · London
Operations — 2 roles
Corporate Services — 1 role
- Head of People · London
Product — 1 role
- Head of Product Design · London
Last updated: March 10, 2026
Questions to Ask at the Interview
Strategic questions based on Cube's data — designed to show you've done your homework.
- 1
“How does Cube differentiate from Looker and dbt Labs’ semantic layers?”
- 2
“What is the company's go-to-market strategy for enterprise vs. open-source?”
- 3
“How does the equity structure handle dilution from future funding rounds?”
Community
Valuation Sentiment
Our model estimates +34% upside. What do you think?
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Disclaimer: This analysis is AI-generated and does not constitute financial or career advice. Always conduct your own due diligence.