Menu
Annual · values20252024202320222021202020192018
Operating Cash Flow2.13 B USD1.15 B USD712.18 M USD223.74 M USD333.85 M USD-296.61 M USD-165.22 M USD-39.01 M USD
Depreciation & Amortization26.14 M USD31.59 M USD33.35 M USD22.52 M USD14.90 M USD13.87 M USD12.26 M USD13.91 M USD
Stock-Based Compensation684.03 M USD691.64 M USD475.90 M USD564.80 M USD778.22 M USD1.27 B USD241.97 M USD248.50 M USD
Capital Expenditures33.88 M USD12.63 M USD15.11 M USD40.03 M USD12.63 M USD12.24 M USD13.10 M USD13.00 M USD
Cash Flow from Investing-2.78 B USD-340.65 M USD-2.71 B USD-45.43 M USD-397.91 M USD-14.92 M USD-21.96 M USD-6.78 M USD
Cash Flow from Financing-26.91 M USD463.36 M USD218.84 M USD86.00 M USD306.75 M USD1.04 B USD324.53 M USD46.15 M USD
Dividends Paid
Stock Buybacks74.98 M USD64.20 M USD0 USD0 USD0 USD3.78 M USD11.20 M USD7.71 M USD
Free Cash Flow2.10 B USD1.14 B USD697.07 M USD183.71 M USD321.22 M USD-308.84 M USD-178.31 M USD-52.02 M USD

Palantir Technologies Inc. is a software company that builds and deploys data integration and analytics platforms serving as central operating systems for organizations. It specializes in artificial intelligence, analytics, and automated decision-making solutions that enable customers to visualize, manage, secure, and analyze vast datasets through human-driven, machine-aided interactions. The company operates via two primary segments: Commercial, which provides services to non-government industries, and Government, which supports U.S. federal agencies and non-U.S. governments, exclusively partnering with entities aligned with Western values. Key platforms include Palantir Foundry for commercial users, creating unified data environments; Palantir Gotham for government applications in data integration and analysis; Palantir Metropolis for quantitative data modeling; and Palantir Apollo for software deployment across diverse environments. Headquartered in Denver, Colorado, and founded in 2003, Palantir Technologies Inc. maintains a global presence through multiple offices, empowering large corporations and public sector clients to drive operational efficiency and informed decision-making in data-intensive sectors.