Strategy (MSTR) Property, Plant & Equipment (Net) (2010 - 2026)
Strategy (MSTR) posted Property, Plant & Equipment (Net) of $27.22 million for Q3 2026, down 9.1% from $29.95 million a year earlier and down 4.0% from the prior quarter.
Strategy (MSTR) Property, Plant & Equipment (Net) (2010 - 2026) Analysis & Trends
At the end of FY2025, Strategy's Property, Plant & Equipment (Net) came in at $28.86 million, up 9.6% from FY2024.
- Annual Property, Plant & Equipment (Net) shows a five-year compound annual growth rate of -7.7% (FY2020 to FY2025).
- In prior years, Strategy's Property, Plant & Equipment (Net) was $26.33 million in FY2024 (-9.0%), $28.94 million in FY2023 (-10.4%), $32.31 million in FY2022 (-11.7%) and $36.59 million in FY2021 (-14.9%).
- The Q3 2026 figure stands as the lowest quarterly Property, Plant & Equipment (Net) since Q4 2024.
- On a year-over-year basis, Property, Plant & Equipment (Net) has declined in each of the last three quarters, with an average decline of 0.3% over the last eight quarters.
- The strongest year-over-year quarter for Property, Plant & Equipment (Net) in the past five years was Q4 2025, with growth of 9.6%; the weakest was Q4 2021, with a decline of 14.9%.
- According to Business Quant data, Property, Plant & Equipment (Net) for the three prior quarters was $28.34 million (Q2 2026), $28.28 million (Q1 2026) and $28.86 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PP&E (Net) (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 386.60 Bn | 351.42 Bn | 1.93 Bn | 65.00 Mn |
| 2 | Oracle | 343.94 Bn | 216.07 Bn | - | 127.85 Bn |
| 3 | Sap Se | 272.35 Bn | 199.75 Bn | 8.64 Bn | 5.16 Bn |
| 4 | Salesforce | 175.46 Bn | 131.33 Bn | 8.70 Bn | 3.04 Bn |
| 5 | Automatic Data Processing | 122.07 Bn | 108.86 Bn | 2.53 Bn | 644.30 Mn |
| 6 | ServiceNow | 105.47 Bn | 84.73 Bn | 2.90 Bn | 2.15 Bn |
| 7 | Intuit | 94.25 Bn | 73.60 Bn | 3.44 Bn | 1.02 Bn |
| 8 | Relx | 73.66 Bn | 72.75 Bn | - | 96.75 Mn |
| 9 | Strategy | 51.78 Bn | 38.91 Bn | 89.63 Mn | 27.22 Mn |
| 10 | Thomson Reuters | 50.52 Bn | 46.49 Bn | - | 303.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 27.22 Mn |
| Jun 30, 2026 | 28.34 Mn |
| Mar 31, 2026 | 28.28 Mn |
| Dec 31, 2025 | 28.86 Mn |
| Sep 30, 2025 | 29.95 Mn |
| Jun 30, 2025 | 30.20 Mn |
| Mar 31, 2025 | 28.34 Mn |
| Dec 31, 2024 | 26.33 Mn |
| Sep 30, 2024 | 27.52 Mn |
| Jun 30, 2024 | 28.33 Mn |
| Mar 31, 2024 | 29.11 Mn |
| Dec 31, 2023 | 28.94 Mn |
| Sep 30, 2023 | 30.19 Mn |
| Jun 30, 2023 | 30.51 Mn |
| Mar 31, 2023 | 31.34 Mn |
| Dec 31, 2022 | 32.31 Mn |
| Sep 30, 2022 | 33.03 Mn |
| Jun 30, 2022 | 34.58 Mn |
| Mar 31, 2022 | 35.68 Mn |
| Dec 31, 2021 | 36.59 Mn |
Strategy 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=MSTR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-plant-and-equipment-net", "ticker": "MSTR", "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=MSTR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();