Strategy (MSTR) Operating Leases (2019 - 2026)
Strategy's Operating Leases came in at $60.85 million for Q2 2026, up 18.8% from $51.22 million a year earlier and unchanged from the prior quarter.
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Analysis
Strategy (MSTR) Operating Leases (2019 - 2026) Analysis & Trends
At the end of FY2025, Strategy's Operating Leases was $46.14 million, down 18.2% from FY2024.
- Operating Leases has declined in each of the last six years, with a five-year compound annual growth rate of -11.4% (FY2020 to FY2025).
- Going back by year, Operating Leases was $56.4 million in FY2024 (-7.7%), $61.09 million in FY2023 (-9.3%), $67.34 million in FY2022 (-12.1%) and $76.61 million in FY2021 (-9.2%).
- The five-year range for quarterly Operating Leases is $46.14 million (Q4 2025) to $78.94 million (Q3 2021).
- Year-over-year, Operating Leases increased in two of the last eight quarters, with an average decline of 3.9%.
- The fastest year-over-year change in Operating Leases over five years came in Q2 2026 (growth of 18.8%), and the weakest in Q4 2025 (a decline of 18.2%).
- Business Quant data shows MSTR's Operating Leases at $60.86 million (Q1 2026), $46.14 million (Q4 2025) and $48.16 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Palantir Technologies | 469.60 Bn | 438.55 Bn | 1.64 Bn |
| 2 | Oracle | 391.28 Bn | 263.41 Bn | - |
| 3 | Sap Se | 266.28 Bn | 194.06 Bn | 8.40 Bn |
| 4 | Salesforce | 198.43 Bn | 154.30 Bn | 8.70 Bn |
| 5 | ServiceNow | 154.39 Bn | 132.85 Bn | 2.82 Bn |
| 6 | Automatic Data Processing | 117.34 Bn | 99.47 Bn | 2.51 Bn |
| 7 | Intuit | 92.85 Bn | 72.20 Bn | 3.44 Bn |
| 8 | Relx | 72.02 Bn | 71.11 Bn | - |
| 9 | Strategy | 50.66 Bn | 43.65 Bn | 81.55 Mn |
| 10 | Thomson Reuters | 50.29 Bn | 47.07 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 60.85 Mn |
| Mar 31, 2026 | 60.86 Mn |
| Dec 31, 2025 | 46.14 Mn |
| Sep 30, 2025 | 48.16 Mn |
| Jun 30, 2025 | 51.22 Mn |
| Mar 31, 2025 | 53.69 Mn |
| Dec 31, 2024 | 56.40 Mn |
| Sep 30, 2024 | 57.50 Mn |
| Jun 30, 2024 | 56.54 Mn |
| Mar 31, 2024 | 58.43 Mn |
| Dec 31, 2023 | 61.09 Mn |
| Sep 30, 2023 | 59.72 Mn |
| Jun 30, 2023 | 63.81 Mn |
| Mar 31, 2023 | 65.36 Mn |
| Dec 31, 2022 | 67.34 Mn |
| Sep 30, 2022 | 69.28 Mn |
| Jun 30, 2022 | 72.16 Mn |
| Mar 31, 2022 | 73.96 Mn |
| Dec 31, 2021 | 76.61 Mn |
| Sep 30, 2021 | 78.94 Mn |
API Access
Strategy 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=MSTR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-leases", "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=operating-leases&ticker=MSTR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();