Microsoft (MSFT) Return on Sales [ROS] (2009 - 2026)
Microsoft (MSFT) recorded Return on Sales [ROS] of 49.76% in fiscal Q1 2027 (quarter ended Sep 30, 2026), up 0.88 percentage points from 48.87% a year earlier and up 4.65 percentage points from the prior quarter.
Microsoft (MSFT) Return on Sales [ROS] (2009 - 2026) Analysis & Trends
On a TTM basis, Microsoft's Return on Sales [ROS] came in at 47.10% as of Sep 30, 2026, up 0.84 percentage points year-over-year; for FY2026 (ended Jun 30, 2026), it came in at 46.78%, up 1.16 percentage points from FY2025.
- Annual Return on Sales [ROS] has increased for three straight fiscal years, with a five-year change of +5.19 percentage points (FY2021 to FY2026).
- Across earlier fiscal years, Return on Sales [ROS] came in at 45.62% in FY2025 (+0.98 pp), 44.64% in FY2024 (+2.87 pp), 41.77% in FY2023 (-0.28 pp) and 42.06% in FY2022 (+0.46 pp).
- The fiscal Q1 2027 figure is the highest quarterly Return on Sales [ROS] in data going back to fiscal Q3 2009.
- On a year-over-year basis, Return on Sales [ROS] has increased for eight consecutive quarters, with an average year-over-year change of +1.30 percentage points over the last eight quarters.
- Peak year-over-year performance for Return on Sales [ROS] in the last five years was a gain of 4.91 percentage points in fiscal Q2 2024, against a drop of 4.33 percentage points in fiscal Q2 2023 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at 45.11% (Q4 2026), 46.33% (Q3 2026) and 47.09% (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Microsoft | 3,944.62 Bn | 3,880.11 Bn | 62.56 Bn | 49.76% |
| 2 | International Business Machines | 231.10 Bn | 185.71 Bn | 9.71 Bn | 15.88% |
| 3 | Equinix | 100.11 Bn | 88.01 Bn | 1.31 Bn | 23.34% |
| 4 | Cloudflare | 96.02 Bn | 78.46 Bn | 557.23 Mn | -8.68% |
| 5 | Nebius | 31.44 Bn | 4.87 Bn | 448.70 Mn | -30.21% |
| 6 | Verisign | 27.82 Bn | 25.17 Bn | 393.20 Mn | 66.93% |
| 7 | CoreWeave | 25.57 Bn | 12.66 Bn | 1.70 Bn | -1.90% |
| 8 | Nutanix | 15.68 Bn | 7.37 Bn | 651.35 Mn | 9.24% |
| 9 | GoDaddy | 14.30 Bn | 9.69 Bn | 843.00 Mn | 27.02% |
| 10 | Akamai Technologies | 12.01 Bn | 5.41 Bn | 613.75 Mn | 7.30% |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 49.76% |
| Jun 30, 2026 | 45.11% |
| Mar 31, 2026 | 46.33% |
| Dec 31, 2025 | 47.09% |
| Sep 30, 2025 | 48.87% |
| Jun 30, 2025 | 44.90% |
| Mar 31, 2025 | 45.67% |
| Dec 31, 2024 | 45.46% |
| Sep 30, 2024 | 46.58% |
| Jun 30, 2024 | 43.14% |
| Mar 31, 2024 | 44.59% |
| Dec 31, 2023 | 43.59% |
| Sep 30, 2023 | 47.59% |
| Jun 30, 2023 | 43.17% |
| Mar 31, 2023 | 42.29% |
| Dec 31, 2022 | 38.67% |
| Sep 30, 2022 | 42.93% |
| Jun 30, 2022 | 39.59% |
| Mar 31, 2022 | 41.26% |
| Dec 31, 2021 | 43.01% |
Microsoft 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=MSFT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "MSFT", "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=MSFT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();