Palantir Technologies (PLTR) Property, Plant & Equipment (Net) (2018 - 2026)
Palantir Technologies' Property, Plant & Equipment (Net) came in at $65 million for Q3 2026, up 42.2% from $45.71 million a year earlier and up 5.9% from the prior quarter.
Palantir Technologies (PLTR) Property, Plant & Equipment (Net) (2018 - 2026) Analysis & Trends
At the end of FY2025, Palantir Technologies' Property, Plant & Equipment (Net) was $51.96 million, up 31.1% from FY2024.
- Property, Plant & Equipment (Net) carries a five-year compound annual growth rate of 12.0% (FY2020 to FY2025).
- Going back by year, Property, Plant & Equipment (Net) was $39.64 million in FY2024 (-17.0%), $47.76 million in FY2023 (-31.0%), $69.17 million in FY2022 (+121.0%) and $31.3 million in FY2021 (+6.0%).
- The Q3 2026 figure represents the highest quarterly Property, Plant & Equipment (Net) since Q4 2022.
- Year-over-year, Property, Plant & Equipment (Net) has increased for six consecutive quarters, with growth averaging 17.0% over the last eight quarters.
- The fastest year-over-year change in Property, Plant & Equipment (Net) over five years came in Q4 2022 (growth of 121.0%), and the weakest in Q4 2023 (a decline of 31.0%).
- Business Quant data shows PLTR's Property, Plant & Equipment (Net) at $61.4 million (Q2 2026), $55.73 million (Q1 2026) and $51.96 million (Q4 2025) in the three quarters before Q3 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PP&E (Net) (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 406.97 Bn | 371.79 Bn | 1.93 Bn | 65.00 Mn |
| 2 | Oracle | 354.26 Bn | 226.39 Bn | - | 127.85 Bn |
| 3 | Sap Se | 278.02 Bn | 205.42 Bn | 8.64 Bn | 5.16 Bn |
| 4 | Salesforce | 177.62 Bn | 133.49 Bn | 8.70 Bn | 3.04 Bn |
| 5 | Automatic Data Processing | 121.68 Bn | 108.48 Bn | 2.53 Bn | 644.30 Mn |
| 6 | ServiceNow | 107.68 Bn | 86.94 Bn | 2.90 Bn | 2.15 Bn |
| 7 | Intuit | 94.03 Bn | 73.38 Bn | 3.44 Bn | 1.02 Bn |
| 8 | Relx | 73.28 Bn | 72.38 Bn | - | 96.75 Mn |
| 9 | Strategy | 50.09 Bn | 37.23 Bn | 89.63 Mn | 27.22 Mn |
| 10 | Thomson Reuters | 49.24 Bn | 45.21 Bn | - | 303.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 65.00 Mn |
| Jun 30, 2026 | 61.40 Mn |
| Mar 31, 2026 | 55.73 Mn |
| Dec 31, 2025 | 51.96 Mn |
| Sep 30, 2025 | 45.71 Mn |
| Jun 30, 2025 | 43.52 Mn |
| Mar 31, 2025 | 39.67 Mn |
| Dec 31, 2024 | 39.64 Mn |
| Sep 30, 2024 | 40.35 Mn |
| Jun 30, 2024 | 43.48 Mn |
| Mar 31, 2024 | 46.91 Mn |
| Dec 31, 2023 | 47.76 Mn |
| Sep 30, 2023 | 50.13 Mn |
| Jun 30, 2023 | 54.10 Mn |
| Mar 31, 2023 | 63.12 Mn |
| Dec 31, 2022 | 69.17 Mn |
| Sep 30, 2022 | 57.82 Mn |
| Jun 30, 2022 | 47.64 Mn |
| Mar 31, 2022 | 41.87 Mn |
| Dec 31, 2021 | 31.30 Mn |
Palantir Technologies Property, Plant & Equipment (Net) 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=property-plant-and-equipment-net&ticker=PLTR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-plant-and-equipment-net", "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=property-plant-and-equipment-net&ticker=PLTR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();