Elkhorn Solutions (unconfirmed, illustrative of forward-deployed model)
2018
Why
Palantir's acquisition history is notably sparse for a company of its size and age, reflecting a deliberate strategic choice to build rather than buy. The company has preferred to develop capabilities internally through its forward-deployed engineering model rather than integrating acquisitions that could dilute its cultural and technical coherence. This approach contrasts sharply with the acquisition-driven growth strategies of enterprise software peers like Salesforce and SAP. Where Palantir has made small acquisitions, they have typically been talent acquisitions of small data engineering or AI firms whose people were absorbed into the Palantir engineering organization.
Impact
The build-over-buy strategy has preserved Palantir's architectural coherence and made the Ontology framework more consistent across deployments than would be possible with acquired codebases. It has also meant that Palantir's growth has been almost entirely organic, making its revenue growth rates a cleaner signal of genuine market traction rather than acquired revenue. The downside is that Palantir has occasionally been slower to enter adjacencies where an acquisition would have provided immediate capability, most notably in the data engineering tooling space where Databricks and dbt Labs have built significant installed bases.
Outcome
As of mid-2025, Palantir has not disclosed any material acquisitions. The company's balance sheet, which carries substantial cash and short-term investments, provides capacity for acquisitions if management chooses to pursue them, and analysts have speculated about potential targets in the AI agent, defense AI, or data governance spaces. Management has not publicly indicated a shift toward an acquisition-based growth strategy.