Microsoft (MSFT) Return on Capital Employed [ROCE] (2009 - 2026)
Microsoft (MSFT) reported Return on Capital Employed [ROCE] of 26.45% for fiscal Q1 2027 (quarter ended Sep 30, 2026), down 1.14 percentage points from 27.59% a year earlier and down 1.39 percentage points from the prior quarter.
Microsoft (MSFT) Return on Capital Employed [ROCE] (2009 - 2026) Analysis & Trends
For FY2026 (ended Jun 30, 2026), Microsoft posted Return on Capital Employed [ROCE] of 29.86%, down 0.43 percentage points from FY2025.
- Return on Capital Employed [ROCE] has a five-year change of -0.68 percentage points (FY2021 to FY2026).
- By fiscal year, Return on Capital Employed [ROCE] came in at 30.29% in FY2025 (-2.21 pp), 32.49% in FY2024 (+1.35 pp), 31.14% in FY2023 (-1.66 pp) and 32.80% in FY2022 (+2.25 pp).
- The fiscal Q1 2027 figure ranks as the lowest quarterly Return on Capital Employed [ROCE] since fiscal Q2 2021.
- Year over year, Return on Capital Employed [ROCE] has now declined in each of the last 11 quarters, with an average year-over-year change of -0.95 percentage points over the last eight quarters.
- The high point for year-over-year Return on Capital Employed [ROCE] in five years was fiscal Q2 2022 (a gain of 4.61 percentage points); the low point was fiscal Q1 2025 (a drop of 2.77 percentage points).
- Per Business Quant data, the three fiscal quarters before Q1 2027 came in at 27.85% (Q4 2026), 27.43% (Q3 2026) and 27.37% (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROCE (Qtr) |
|---|---|---|---|---|---|
| 1 | Microsoft | 3,948.92 Bn | 3,884.42 Bn | 62.56 Bn | 26.45% |
| 2 | International Business Machines | 231.35 Bn | 185.96 Bn | 9.71 Bn | 9.65% |
| 3 | Equinix | 100.17 Bn | 88.07 Bn | 1.31 Bn | 5.91% |
| 4 | Cloudflare | 96.77 Bn | 79.21 Bn | 557.23 Mn | -6.94% |
| 5 | Nebius | 31.44 Bn | 4.87 Bn | 448.70 Mn | -2.94% |
| 6 | Verisign | 27.88 Bn | 25.24 Bn | 393.20 Mn | 730.86% |
| 7 | CoreWeave | 25.48 Bn | 12.57 Bn | 1.70 Bn | -0.51% |
| 8 | Nutanix | 15.67 Bn | 7.36 Bn | 651.35 Mn | 10.69% |
| 9 | GoDaddy | 14.39 Bn | 9.78 Bn | 843.00 Mn | 27.83% |
| 10 | Akamai Technologies | 11.99 Bn | 5.40 Bn | 613.75 Mn | 4.33% |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 26.45% |
| Jun 30, 2026 | 27.85% |
| Mar 31, 2026 | 27.43% |
| Dec 31, 2025 | 27.37% |
| Sep 30, 2025 | 27.59% |
| Jun 30, 2025 | 28.59% |
| Mar 31, 2025 | 28.14% |
| Dec 31, 2024 | 28.05% |
| Sep 30, 2024 | 28.10% |
| Jun 30, 2024 | 29.34% |
| Mar 31, 2024 | 29.47% |
| Dec 31, 2023 | 29.82% |
| Sep 30, 2023 | 30.88% |
| Jun 30, 2023 | 30.33% |
| Mar 31, 2023 | 29.59% |
| Dec 31, 2022 | 29.53% |
| Sep 30, 2022 | 30.80% |
| Jun 30, 2022 | 32.11% |
| Mar 31, 2022 | 30.92% |
| Dec 31, 2021 | 30.20% |
Microsoft Return on Capital Employed [ROCE] 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-capital-employed-%5Broce%5D&ticker=MSFT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-capital-employed-[roce]", "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-capital-employed-%5Broce%5D&ticker=MSFT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();