-83%

est. 2Y upside i

Series B

Rank

#3610

Sector

Enterprise Software

Est. Liquidity

~5Y

Data Quality

Data: Low

The equity upside is severely negative across all scenarios due to a stale valuation of $550M from 2022, while the company shows only 5.7% revenue growth and employee headcount decline.

Last updated: July 19, 2026

Bull (10%)-69%

If Databook achieves an IPO window with revenue multiple expanding to 8x, projected revenue of $27M yields $216M exit, but after 20% dilution leaves -68.6% loss from $550M entry valuation, requiring massive acceleration.

Base (45%)-80%

Base case assumes multiple compresses to 5x, in line with public comps, resulting in $135M exit, after dilution -80.4% loss.

Bear (45%)-88%

Bear case: multiple compresses to 3x due to competitive pressure and slow growth, $81M exit, after dilution -88.2% loss, but just above preference stack.

Est. time to liquidity~5.0 years

Preference Stack Risk

moderate

Funding Intensity

1300%

Total preferred funding of $71.4M represents 13% of the $550M valuation, so common shareholders have reasonable preference overhang.

Dilution Risk

high

With no recent funding round since 2022 and negative cash dynamics, a down round is likely within 24 months, diluting existing common equity by ~20% or more.

Secondary Liquidity

none

No secondary market activity detected; illiquid private shares.

Customer Value — 1 role

Technology — 1 role

View all 2 open roles at Databook →

Last updated: February 22, 2026

Questions to Ask at the Interview

Strategic questions based on Databook's data — designed to show you've done your homework.

  • 1

    “How does Databook plan to re-accelerate growth given the competitive pressure from ZoomInfo and Salesforce?”

  • 2

    “What is the current annualized revenue run rate and net revenue retention?”

  • 3

    “What is the expected timeline for a liquidity event, given the stale valuation and funding history?”

Community

Valuation Sentiment

Our model estimates -83% 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.