Strategy (MSTR) Operating Margin (2010 - 2026)
Strategy (MSTR) posted Operating Margin of -6808.11% for Q2 2026, down 19064.41 percentage points from 12256.30% a year earlier but up 4833.42 percentage points from the prior quarter.
Strategy (MSTR) Operating Margin (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Operating Margin at Strategy was -7295.38%, down 8736.28 percentage points year-over-year; for FY2025, it was -1140.82%, down 741.01 percentage points from FY2024.
- Annual Operating Margin shows a five-year change of -1137.99 percentage points (FY2020 to FY2025).
- In prior years, Strategy's Operating Margin was -399.82% in FY2024 (-376.63 pp), -23.18% in FY2023 (+232.34 pp), -255.52% in FY2022 (-101.93 pp) and -153.60% in FY2021 (-150.77 pp).
- Quarterly Operating Margin has run from a low of -14184.97% in Q4 2025 to a high of 12256.30% in Q2 2025 over five years.
- On a year-over-year basis, Operating Margin has declined in each of the last three quarters, with an average year-over-year change of -3650.11 percentage points over the last eight quarters.
- The strongest year-over-year quarter for Operating Margin in the past five years was Q2 2025, with a gain of 12436.01 percentage points; the weakest was Q2 2026, with a drop of 19064.41 percentage points.
- According to Business Quant data, Operating Margin for the three prior quarters was -11641.53% (Q1 2026), -14184.97% (Q4 2025) and 3023.40% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Operating Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 413.65 Bn | 378.59 Bn | 1.93 Bn | 46.89% |
| 2 | Oracle | 374.28 Bn | 246.84 Bn | - | 34.78% |
| 3 | Sap Se | 294.90 Bn | 222.88 Bn | 8.64 Bn | 28.53% |
| 4 | Salesforce | 186.99 Bn | 142.87 Bn | 8.70 Bn | 20.55% |
| 5 | Automatic Data Processing | 120.08 Bn | 106.87 Bn | 2.53 Bn | -30.06% |
| 6 | ServiceNow | 113.02 Bn | 92.28 Bn | 2.90 Bn | 9.38% |
| 7 | Intuit | 95.72 Bn | 75.07 Bn | 3.44 Bn | 10.91% |
| 8 | Relx | 74.73 Bn | 73.84 Bn | - | - |
| 9 | Strategy | 57.35 Bn | 44.49 Bn | 89.63 Mn | 16,670.89% |
| 10 | Thomson Reuters | 52.16 Bn | 48.13 Bn | - | 21.93% |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 16,670.89% |
| Jun 30, 2026 | -6,808.11% |
| Mar 31, 2026 | -11,641.53% |
| Dec 31, 2025 | -14,184.97% |
| Sep 30, 2025 | 3,023.40% |
| Jun 30, 2025 | 12,256.30% |
| Mar 31, 2025 | -5,331.44% |
| Dec 31, 2024 | -842.13% |
| Sep 30, 2024 | -372.69% |
| Jun 30, 2024 | -179.71% |
| Mar 31, 2024 | -176.75% |
| Dec 31, 2023 | -34.37% |
| Sep 30, 2023 | -19.50% |
| Jun 30, 2023 | -22.18% |
| Mar 31, 2023 | -16.66% |
| Dec 31, 2022 | -146.14% |
| Sep 30, 2022 | 4.83% |
| Jun 30, 2022 | -752.11% |
| Mar 31, 2022 | -142.49% |
| Dec 31, 2021 | -102.19% |
Strategy Operating Margin 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-margin&ticker=MSTR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-margin", "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-margin&ticker=MSTR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();