Palantir Technologies (PLTR) Depreciation and Depletion (2019 - 2025)
Palantir Technologies (PLTR) reported Depreciation and Depletion of $4.8 million for Q3 2025, down 21.3% from $6.1 million a year earlier and down 11.1% from the prior quarter.
Palantir Technologies (PLTR) Depreciation and Depletion (2019 - 2025) Analysis & Trends
Over the twelve months ended Sep 30, 2025, Palantir Technologies' Depreciation and Depletion came in at $21.2 million, down 10.2% year-over-year; for FY2024, it was $23.7 million, unchanged from FY2023.
- Depreciation and Depletion has a five-year compound annual growth rate of 14.2% (FY2019 to FY2024).
- By year, Depreciation and Depletion came in at $23.7 million in FY2023 (+21.5%), $19.5 million in FY2022 (+52.3%), $12.8 million in FY2021 (-7.9%) and $13.9 million in FY2020 (+13.9%).
- The Q3 2025 figure ranks as the lowest quarterly Depreciation and Depletion since Q2 2022.
- Year over year, Depreciation and Depletion has now declined in each of the last three quarters, with an average decline of 5.4% over the last eight quarters.
- The high point for year-over-year Depreciation and Depletion in five years was Q3 2022 (growth of 77.4%); the low point was Q4 2021 (a decline of 23.9%).
- Per Business Quant data, the three quarters before Q3 2025 came in at $5.4 million (Q2 2025), $5.5 million (Q1 2025) and $5.5 million (Q4 2024).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Depletion (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 450.50 Bn | 419.56 Bn | 1.64 Bn | - |
| 2 | Oracle | 401.01 Bn | 273.57 Bn | - | 3.20 Bn |
| 3 | Sap Se | 257.03 Bn | 178.11 Bn | 8.40 Bn | - |
| 4 | Salesforce | 187.04 Bn | 142.92 Bn | 8.70 Bn | - |
| 5 | ServiceNow | 135.91 Bn | 114.37 Bn | 2.82 Bn | 155.00 Mn |
| 6 | Automatic Data Processing | 104.14 Bn | 86.27 Bn | 2.51 Bn | - |
| 7 | Intuit | 72.30 Bn | 51.65 Bn | 3.44 Bn | 54.00 Mn |
| 8 | Relx | 60.17 Bn | 57.14 Bn | - | - |
| 9 | Strategy | 55.31 Bn | 48.30 Bn | 81.55 Mn | - |
| 10 | Workday | 45.49 Bn | 21.61 Bn | 2.00 Bn | 56.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2025 | 4.80 Mn |
| Jun 30, 2025 | 5.40 Mn |
| Mar 31, 2025 | 5.50 Mn |
| Dec 31, 2024 | 5.50 Mn |
| Sep 30, 2024 | 6.10 Mn |
| Jun 30, 2024 | 6.00 Mn |
| Mar 31, 2024 | 6.00 Mn |
| Dec 31, 2023 | 5.50 Mn |
| Sep 30, 2023 | 6.30 Mn |
| Jun 30, 2023 | 6.00 Mn |
| Mar 31, 2023 | 5.90 Mn |
| Dec 31, 2022 | 5.60 Mn |
| Sep 30, 2022 | 5.50 Mn |
| Jun 30, 2022 | 4.50 Mn |
| Mar 31, 2022 | 3.90 Mn |
| Dec 31, 2021 | 3.50 Mn |
| Sep 30, 2021 | 3.10 Mn |
| Jun 30, 2021 | 3.10 Mn |
| Mar 31, 2021 | 3.20 Mn |
| Dec 31, 2020 | 4.60 Mn |
Palantir Technologies Depreciation and Depletion 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=depreciation-and-depletion&ticker=PLTR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-depletion", "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=depreciation-and-depletion&ticker=PLTR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();