Palantir Technologies (PLTR) Property, Plant & Equipment (Net) (2018 - 2026)
Palantir Technologies' Property, Plant & Equipment (Net) came in at $61.4 million for Q2 2026, up 41.1% from $43.52 million a year earlier and up 10.2% 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 Q2 2026 figure represents the highest quarterly Property, Plant & Equipment (Net) since Q1 2023.
- Year-over-year, Property, Plant & Equipment (Net) has increased for five consecutive quarters, with growth averaging 9.3% 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 $55.73 million (Q1 2026), $51.96 million (Q4 2025) and $45.71 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PP&E (Net) (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 480.73 Bn | 449.68 Bn | 1.64 Bn | 61.40 Mn |
| 2 | Oracle | 399.91 Bn | 272.04 Bn | - | 127.85 Bn |
| 3 | Sap Se | 262.30 Bn | 190.08 Bn | 8.40 Bn | 5.14 Bn |
| 4 | Salesforce | 202.26 Bn | 158.13 Bn | 8.70 Bn | 3.04 Bn |
| 5 | ServiceNow | 153.84 Bn | 132.30 Bn | 2.82 Bn | 2.18 Bn |
| 6 | Automatic Data Processing | 114.84 Bn | 96.97 Bn | 2.51 Bn | 641.30 Mn |
| 7 | Intuit | 91.04 Bn | 70.38 Bn | 3.44 Bn | 1.02 Bn |
| 8 | Relx | 70.51 Bn | 69.60 Bn | - | 96.75 Mn |
| 9 | Strategy | 53.24 Bn | 46.23 Bn | 81.55 Mn | 28.34 Mn |
| 10 | Thomson Reuters | 48.40 Bn | 45.18 Bn | - | 342.00 Mn |
Historic Data
| Date | Value |
|---|---|
| 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 |
| Sep 30, 2021 | 28.78 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();