Cube
+47%
est. 2Y upside i
Headless BI and semantic layer platform for data applications
Rank
#1858
Sector
Developer Tools
Est. Liquidity
~5Y
Data Quality
Data: MediumCube presents moderate equity upside with meaningfully elevated downside risk.
Last updated: May 5, 2026
AI semantic layer demand accelerates as enterprises standardize on Cube for LLM and AI-agent data access; revenue scales to ~$28M by mid-2027 at 55%+ CAGR. A strategic acquisition by Databricks or Salesforce, or an IPO at 15x ARR, implies ~$420M valuation—overwhelming the $49.1M preference stack and delivering roughly 200% upside on common equity from grant price.
Cube compounds at ~30% CAGR reaching ~$19M ARR by mid-2027, sustaining product leadership while facing pricing pressure from Databricks and Snowflake native tooling. A Series C at ~$230M post-money valuation yields approximately 40% appreciation on common equity after preference stack absorption and incremental dilution.
Growth stalls below 20% as hyperscalers commoditize semantic layer natively; a flat or down-round at ~$90-100M is required. The $49.1M preference stack claims ~50% of exit proceeds, leaving common shareholders with roughly 40 cents on the dollar relative to their grant-price valuation—approximately a 60% loss.
Preference Stack Risk
severeFunding Intensity
33%Total funding of $49.1M sits as liquidation preference against an estimated ~$150M post-money Series B valuation, consuming approximately 33% of exit proceeds before common stock receives any value.
Dilution Risk
highA Series B company at $11.5M ARR will almost certainly require a Series C and possibly a Series D before any liquidity event, adding an estimated 20-30% additional dilution to the employee equity pool.
Secondary Liquidity
limitedNo secondary market activity is evident at this scale; a Databricks-affiliated tender offer is theoretically possible but unlikely within a 2-year window given the company's current stage.
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
“Databricks Ventures led your Series B while Databricks is building Unity Catalog and native semantic layer features—how does Cube's product roadmap stay clearly differentiated as that relationship deepens?”
- 2
“What is your current net revenue retention rate and how is consumption-based pricing holding up against seat-based BI vendors, particularly in competitive renewals?”
- 3
“Given the June 2024 Series B close, what specific ARR milestones and cash runway does the company have, and at what point does leadership expect to explore a Series C, secondary tender offer, or strategic exit?”
Community
Valuation Sentiment
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Disclaimer: This analysis is AI-generated and does not constitute financial or career advice. Always conduct your own due diligence.