Palantir Technologies (PLTR) Cash & Equivalents (2018 - 2026)
Palantir Technologies (PLTR) posted Cash & Equivalents of $3.62 billion for Q3 2026, up 124.0% from $1.62 billion a year earlier and up 78.3% from the prior quarter.
Palantir Technologies (PLTR) Cash & Equivalents (2018 - 2026) Analysis & Trends
At the end of FY2025, Palantir Technologies' Cash & Equivalents came in at $1.42 billion, down 32.2% from FY2024.
- Annual Cash & Equivalents shows a five-year compound annual growth rate of -6.7% (FY2020 to FY2025).
- In prior years, Palantir Technologies' Cash & Equivalents was $2.1 billion in FY2024 (+152.5%), $831.05 million in FY2023 (-68.0%), $2.6 billion in FY2022 (+13.4%) and $2.29 billion in FY2021 (+13.9%).
- The Q3 2026 figure stands as the highest quarterly Cash & Equivalents in data going back to Q4 2018.
- On a year-over-year basis, Cash & Equivalents has increased in each of the last three quarters, with growth averaging 97.0% over the last eight quarters.
- The strongest year-over-year quarter for Cash & Equivalents in the past five years was Q4 2024, with growth of 152.5%; the weakest was Q4 2023, with a decline of 68.0%.
- According to Business Quant data, Cash & Equivalents for the three prior quarters was $2.03 billion (Q2 2026), $2.29 billion (Q1 2026) and $1.42 billion (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 404.00 Bn | 368.83 Bn | 1.93 Bn | 3.62 Bn |
| 2 | Oracle | 352.87 Bn | 225.00 Bn | - | 36.37 Bn |
| 3 | Sap Se | 276.87 Bn | 204.27 Bn | 8.64 Bn | 10.62 Bn |
| 4 | Salesforce | 176.33 Bn | 132.20 Bn | 8.70 Bn | 8.31 Bn |
| 5 | Automatic Data Processing | 120.87 Bn | 107.66 Bn | 2.53 Bn | 3.28 Bn |
| 6 | ServiceNow | 106.86 Bn | 86.12 Bn | 2.90 Bn | 2.39 Bn |
| 7 | Intuit | 92.88 Bn | 72.23 Bn | 3.44 Bn | 4.71 Bn |
| 8 | Relx | 73.32 Bn | 72.41 Bn | - | 291.59 Mn |
| 9 | Strategy | 51.13 Bn | 38.27 Bn | 89.63 Mn | 2.50 Bn |
| 10 | Thomson Reuters | 49.41 Bn | 45.38 Bn | - | 1.39 Bn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 3.62 Bn |
| Jun 30, 2026 | 2.03 Bn |
| Mar 31, 2026 | 2.29 Bn |
| Dec 31, 2025 | 1.42 Bn |
| Sep 30, 2025 | 1.62 Bn |
| Jun 30, 2025 | 929.55 Mn |
| Mar 31, 2025 | 993.46 Mn |
| Dec 31, 2024 | 2.10 Bn |
| Sep 30, 2024 | 768.71 Mn |
| Jun 30, 2024 | 512.66 Mn |
| Mar 31, 2024 | 520.39 Mn |
| Dec 31, 2023 | 831.05 Mn |
| Sep 30, 2023 | 1.04 Bn |
| Jun 30, 2023 | 1.06 Bn |
| Mar 31, 2023 | 1.26 Bn |
| Dec 31, 2022 | 2.60 Bn |
| Sep 30, 2022 | 2.41 Bn |
| Jun 30, 2022 | 2.36 Bn |
| Mar 31, 2022 | 2.27 Bn |
| Dec 31, 2021 | 2.29 Bn |
Palantir Technologies Cash & Equivalents 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-and-equivalents&ticker=PLTR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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-and-equivalents&ticker=PLTR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();