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Vantage Legacy Capital · First SPV / Historical investment case study

Databricks

Databricks was Vantage Legacy Capital’s first SPV in February 2023. I returned to that investment for this historical case study, working from the $38 billion last announced financing valuation and information available through March 31, 2023.

My roleManaging Partner · Investor Relations & Business DevelopmentSPVFebruary 2023Research cutoffMarch 31, 2023

This research package was prepared in October 2026 as a historical reconstruction. March product news followed the February SPV; it is not represented as part of the original decision. The $38 billion mark is the August 2021 Series H post-money benchmark, not a verified Vantage transaction price. Actual SPV terms and performance are not presented.

Cover of the Databricks investment committee presentation

The question I revisited

Could Databricks’ lakehouse position in enterprise data and AI justify a secondary investment at a price linked to its last announced financing valuation?

The case tests product breadth, adoption, competition, dilution, and the returns an LP could realize under different operating and exit assumptions. The recommendation is to continue diligence and negotiate entry price.

Evidence at the cutoff

  • Financing benchmark: Databricks announced a $1.6 billion Series H at a $38 billion post-money valuation in August 2021.
  • Revenue reference: contemporaneous reporting in August 2022 described annual revenue run-rate above $1 billion. It is a dated annualized metric, not March 2023 revenue.
  • Enterprise footprint: a March 2023 company release reported more than 9,000 organizations and over half of the Fortune 500 among customers.
  • Product expansion: Model Serving, the SAP Datasphere partnership, and the original Dolly announcement broadened the thesis in March. Their commercial contribution still required diligence.

Each statement is dated and sourced in the memo. No later financing, acquisition, or revenue result is used in the historical analysis.

Investment judgment

Proceed to confirmatory diligence; negotiate the entry price.

The enterprise platform merits review, but an appealing company does not make every security or purchase price attractive.

At the $38 billion-equivalent entry in the illustrative model, the base case returns 1.52× gross and 1.39× net over five years, or 6.8% net annualized. That is below the model’s assumed 20% net screening hurdle.

With those same base assumptions, the conditional entry ceiling for that hurdle is about $19.74 billion. This is a scenario output, not a fair-value opinion or executable quote. A higher verified starting revenue base could materially change it.

Illustrative economics

All cases use a five-year hold, a $1 billion starting annualized run-rate reference, and a $38 billion-equivalent entry. Exit value, growth, and cumulative dilution vary by scenario. The net calculation assumes a 2% upfront fee and 20% carry on positive profit; those are modeling inputs, not Vantage’s disclosed terms.

Five-year scenario results, rounded
ScenarioRun-rate growthExit EV / run-rateDilutionGross MOICNet annualized
Downside30%8×35%0.51×−13.0%
Base45%12×25%1.52×6.8%
Upside60%16×20%3.53×24.3%

Scenarios are illustrative, not management forecasts. The $1 billion reference is anchored to the August 2022 report and does not estimate revenue in March 2023. The workbook includes sensitivity to that starting metric and to entry price and exit multiple.

What I would need to verify

  • Current financials: revenue bridge, retention, customer concentration, workload margins, cash needs, and consumption trends.
  • Security economics: actual price per share, fully diluted capitalization, preferences, transfer rights, future dilution, and SPV fee and carry waterfall.
  • Competitive edge: customer references and win/loss evidence against Snowflake, cloud platforms, and internal data stacks.
  • AI monetization: production adoption and unit economics beyond research announcements.

Case-study materials