Palantir Technologies (PLTR) Operating Leases (2020 - 2026)
Palantir Technologies (PLTR) posted Operating Leases of $211.4 million for Q2 2026, up 9.9% from $192.35 million a year earlier but down 0.3% from the prior quarter.
Palantir Technologies (PLTR) Operating Leases (2020 - 2026) Analysis & Trends
At the end of FY2025, Palantir Technologies' Operating Leases came in at $183.47 million, down 6.0% from FY2024.
- Annual Operating Leases shows a five-year compound annual growth rate of -4.4% (FY2020 to FY2025).
- In prior years, Palantir Technologies' Operating Leases was $195.23 million in FY2024 (+11.4%), $175.22 million in FY2023 (-14.2%), $204.31 million in FY2022 (-7.2%) and $220.15 million in FY2021 (-4.2%).
- Quarterly Operating Leases has run from a low of $163.01 million in Q1 2024 to a high of $227.62 million in Q1 2022 over five years.
- On a year-over-year basis, Operating Leases increased in five of the last eight quarters, with growth averaging 4.7%.
- The strongest year-over-year quarter for Operating Leases in the past five years was Q1 2025, with growth of 22.8%; the weakest was Q1 2024, with a decline of 21.0%.
- According to Business Quant data, Operating Leases for the three prior quarters was $211.98 million (Q1 2026), $183.47 million (Q4 2025) and $189.17 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Palantir Technologies | 480.73 Bn | 449.68 Bn | 1.64 Bn |
| 2 | Oracle | 399.91 Bn | 272.04 Bn | - |
| 3 | Sap Se | 262.30 Bn | 190.08 Bn | 8.40 Bn |
| 4 | Salesforce | 202.26 Bn | 158.13 Bn | 8.70 Bn |
| 5 | ServiceNow | 153.84 Bn | 132.30 Bn | 2.82 Bn |
| 6 | Automatic Data Processing | 114.84 Bn | 96.97 Bn | 2.51 Bn |
| 7 | Intuit | 91.04 Bn | 70.38 Bn | 3.44 Bn |
| 8 | Relx | 70.51 Bn | 69.60 Bn | - |
| 9 | Strategy | 53.24 Bn | 46.23 Bn | 81.55 Mn |
| 10 | Thomson Reuters | 48.40 Bn | 45.18 Bn | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 211.40 Mn |
| Mar 31, 2026 | 211.98 Mn |
| Dec 31, 2025 | 183.47 Mn |
| Sep 30, 2025 | 189.17 Mn |
| Jun 30, 2025 | 192.35 Mn |
| Mar 31, 2025 | 200.18 Mn |
| Dec 31, 2024 | 195.23 Mn |
| Sep 30, 2024 | 207.28 Mn |
| Jun 30, 2024 | 214.33 Mn |
| Mar 31, 2024 | 163.01 Mn |
| Dec 31, 2023 | 175.22 Mn |
| Sep 30, 2023 | 184.07 Mn |
| Jun 30, 2023 | 194.13 Mn |
| Mar 31, 2023 | 206.42 Mn |
| Dec 31, 2022 | 204.31 Mn |
| Sep 30, 2022 | 204.90 Mn |
| Jun 30, 2022 | 216.06 Mn |
| Mar 31, 2022 | 227.62 Mn |
| Dec 31, 2021 | 220.15 Mn |
| Sep 30, 2021 | 219.65 Mn |
Palantir Technologies Operating Leases 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=operating-leases&ticker=PLTR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-leases", "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=operating-leases&ticker=PLTR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();