Strategy (MSTR) Return on Sales [ROS] (2010 - 2026)
Strategy's Return on Sales [ROS] came in at -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) Return on Sales [ROS] (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Strategy reported Return on Sales [ROS] of -7295.38%, down 8736.28 percentage points year-over-year; for FY2025, it came in at -1140.82%, down 741.01 percentage points from FY2024.
- Return on Sales [ROS] carries a five-year change of -1137.99 percentage points (FY2020 to FY2025).
- Going back by year, Return on Sales [ROS] 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).
- The five-year range for quarterly Return on Sales [ROS] is -14184.97% (Q4 2025) to 12256.30% (Q2 2025).
- Year-over-year, Return on Sales [ROS] has declined for three consecutive quarters, with an average year-over-year change of -3650.11 percentage points over the last eight quarters.
- The fastest year-over-year change in Return on Sales [ROS] over five years came in Q2 2025 (a gain of 12436.01 percentage points), and the weakest in Q2 2026 (a drop of 19064.41 percentage points).
- Business Quant data shows MSTR's Return on Sales [ROS] at -11641.53% (Q1 2026), -14184.97% (Q4 2025) and 3023.40% (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 450.50 Bn | 419.56 Bn | 1.64 Bn | 47.12% |
| 2 | Oracle | 401.01 Bn | 273.57 Bn | - | 34.78% |
| 3 | Sap Se | 257.03 Bn | 178.11 Bn | 8.40 Bn | 26.76% |
| 4 | Salesforce | 187.04 Bn | 142.92 Bn | 8.70 Bn | 20.55% |
| 5 | ServiceNow | 135.91 Bn | 114.37 Bn | 2.82 Bn | 4.06% |
| 6 | Automatic Data Processing | 104.14 Bn | 86.27 Bn | 2.51 Bn | -33.33% |
| 7 | Intuit | 72.30 Bn | 51.65 Bn | 3.44 Bn | 10.91% |
| 8 | Relx | 60.17 Bn | 57.14 Bn | - | - |
| 9 | Strategy | 55.31 Bn | 48.30 Bn | 81.55 Mn | -6,808.11% |
| 10 | Workday | 45.49 Bn | 21.61 Bn | 2.00 Bn | 11.82% |
Historic Data
| Date | Value |
|---|---|
| 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% |
| Sep 30, 2021 | -38.80% |
Strategy Return on Sales [ROS] 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=return-on-sales-%5Bros%5D&ticker=MSTR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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=return-on-sales-%5Bros%5D&ticker=MSTR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();