Palantir Technologies (PLTR) Cash from Operations (2019 - 2026)
Palantir Technologies (PLTR) reported Cash from Operations of $1.2 billion for Q3 2026, up 137.3% from $507.66 million a year earlier but down 1.0% from the prior quarter.
Palantir Technologies (PLTR) Cash from Operations (2019 - 2026) Analysis & Trends
Over the twelve months ended Sep 30, 2026, Palantir Technologies' Cash from Operations came in at $4.1 billion, up 125.4% year-over-year; for FY2025, it came in at $2.13 billion, up 85.0% from FY2024.
- Cash from Operations has increased for three consecutive years.
- By year, Cash from Operations came in at $1.15 billion in FY2024 (+62.0%), $712.18 million in FY2023 (+218.3%), $223.74 million in FY2022 (-33.0%) and $333.85 million in FY2021.
- Five-year quarterly Cash from Operations spans a low of $35.48 million in Q1 2022 and a high of $1.22 billion in Q2 2026.
- Year over year, Cash from Operations has now increased in each of the last ten quarters, with growth averaging 126.1% over the last eight quarters.
- The high point for year-over-year Cash from Operations in five years was Q1 2023 (growth of 428.2%); the low point was Q1 2022 (a decline of 69.6%).
- Per Business Quant data, the three quarters before Q3 2026 came in at $1.22 billion (Q2 2026), $899.17 million (Q1 2026) and $777.3 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash from Ops. (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 386.60 Bn | 351.42 Bn | 1.93 Bn | 1.20 Bn |
| 2 | Oracle | 343.94 Bn | 216.07 Bn | - | 23.10 Bn |
| 3 | Sap Se | 272.35 Bn | 199.75 Bn | 8.64 Bn | 2.21 Bn |
| 4 | Salesforce | 175.46 Bn | 131.33 Bn | 8.70 Bn | 1.27 Bn |
| 5 | Automatic Data Processing | 122.07 Bn | 108.86 Bn | 2.53 Bn | 651.00 Mn |
| 6 | ServiceNow | 105.47 Bn | 84.73 Bn | 2.90 Bn | 839.00 Mn |
| 7 | Intuit | 94.25 Bn | 73.60 Bn | 3.44 Bn | 1.33 Bn |
| 8 | Relx | 73.66 Bn | 72.75 Bn | - | - |
| 9 | Strategy | 51.78 Bn | 38.91 Bn | 89.63 Mn | 4.42 Mn |
| 10 | Thomson Reuters | 50.52 Bn | 46.49 Bn | - | 547.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 1.20 Bn |
| Jun 30, 2026 | 1.22 Bn |
| Mar 31, 2026 | 899.17 Mn |
| Dec 31, 2025 | 777.30 Mn |
| Sep 30, 2025 | 507.66 Mn |
| Jun 30, 2025 | 539.25 Mn |
| Mar 31, 2025 | 310.26 Mn |
| Dec 31, 2024 | 460.33 Mn |
| Sep 30, 2024 | 419.77 Mn |
| Jun 30, 2024 | 144.19 Mn |
| Mar 31, 2024 | 129.58 Mn |
| Dec 31, 2023 | 301.17 Mn |
| Sep 30, 2023 | 133.44 Mn |
| Jun 30, 2023 | 90.19 Mn |
| Mar 31, 2023 | 187.38 Mn |
| Dec 31, 2022 | 78.76 Mn |
| Sep 30, 2022 | 47.07 Mn |
| Jun 30, 2022 | 62.43 Mn |
| Mar 31, 2022 | 35.48 Mn |
| Dec 31, 2021 | 93.43 Mn |
Palantir Technologies Cash from Operations API
Pull this series into your own models, spreadsheets and apps with the Business Quant
Historical Metrics API. The request below matches the chart above — change the
frequency, period or values and it follows. Swap YOUR_API_KEY for your own key.
https://data.businessquant.com/historic?slug=cash-from-operations&ticker=PLTR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-from-operations", "ticker": "PLTR", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=cash-from-operations&ticker=PLTR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();