Strategy (MSTR) Accumulated Expenses (2014 - 2026)
Strategy's Accumulated Expenses came in at $5.97 million for Q3 2026, down 80.0% from $29.9 million a year earlier but up 6.2% from the prior quarter.
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Analysis
Strategy (MSTR) Accumulated Expenses (2014 - 2026) Analysis & Trends
At the end of FY2025, Strategy's Accumulated Expenses was $5.62 million, up 1.3% from FY2024.
- Accumulated Expenses carries a five-year compound annual growth rate of 83.4% (FY2020 to FY2025).
- Going back by year, Accumulated Expenses was $5.55 million in FY2024 (+271.7%), $1.49 million in FY2023 (-47.2%), $2.83 million in FY2022 (+89.5%) and $1.49 million in FY2021 (+450.9%).
- The five-year range for quarterly Accumulated Expenses is $1.49 million (Q4 2021) to $29.9 million (Q3 2025).
- Year-over-year, Accumulated Expenses increased in four of the last eight quarters, with growth averaging 71.8%.
- The fastest year-over-year change in Accumulated Expenses over five years came in Q4 2021 (growth of 450.9%), and the weakest in Q3 2026 (a decline of 80.0%).
- Business Quant data shows MSTR's Accumulated Expenses at $5.62 million (Q2 2026), $5.97 million (Q1 2026) and $5.62 million (Q4 2025) in the three quarters before Q3 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Palantir Technologies | 386.60 Bn | 351.42 Bn | 1.93 Bn |
| 2 | Oracle | 343.94 Bn | 216.07 Bn | - |
| 3 | Sap Se | 272.35 Bn | 199.75 Bn | 8.64 Bn |
| 4 | Salesforce | 175.46 Bn | 131.33 Bn | 8.70 Bn |
| 5 | Automatic Data Processing | 122.07 Bn | 108.86 Bn | 2.53 Bn |
| 6 | ServiceNow | 105.47 Bn | 84.73 Bn | 2.90 Bn |
| 7 | Intuit | 94.25 Bn | 73.60 Bn | 3.44 Bn |
| 8 | Relx | 73.66 Bn | 72.75 Bn | - |
| 9 | Strategy | 51.78 Bn | 38.91 Bn | 89.63 Mn |
| 10 | Thomson Reuters | 50.52 Bn | 46.49 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 5.97 Mn |
| Jun 30, 2026 | 5.62 Mn |
| Mar 31, 2026 | 5.97 Mn |
| Dec 31, 2025 | 5.62 Mn |
| Sep 30, 2025 | 29.90 Mn |
| Jun 30, 2025 | 5.62 Mn |
| Mar 31, 2025 | 5.97 Mn |
| Dec 31, 2024 | 5.55 Mn |
| Sep 30, 2024 | 5.80 Mn |
| Jun 30, 2024 | 5.07 Mn |
| Mar 31, 2024 | 10.88 Mn |
| Dec 31, 2023 | 1.49 Mn |
| Sep 30, 2023 | 10.37 Mn |
| Jun 30, 2023 | 1.49 Mn |
| Mar 31, 2023 | 10.37 Mn |
| Dec 31, 2022 | 2.83 Mn |
| Sep 30, 2022 | 11.39 Mn |
| Jun 30, 2022 | 2.27 Mn |
| Mar 31, 2022 | 10.54 Mn |
| Dec 31, 2021 | 1.49 Mn |
API Access
Strategy Accumulated Expenses 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=accumulated-expenses&ticker=MSTR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "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=accumulated-expenses&ticker=MSTR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();