Microsoft (MSFT) Return on Equity [ROE] (2009 - 2026)
Microsoft (MSFT) reported Return on Equity [ROE] of 31.25% for fiscal Q1 2027 (quarter ended Sep 30, 2026), up 1.55 percentage points from 29.70% a year earlier and up 0.03 percentage points from the prior quarter.
Microsoft (MSFT) Return on Equity [ROE] (2009 - 2026) Analysis & Trends
For FY2026 (ended Jun 30, 2026), Microsoft posted Return on Equity [ROE] of 34.04%, up 0.76 percentage points from FY2025.
- Return on Equity [ROE] has a five-year change of -13.04 percentage points (FY2021 to FY2026).
- By fiscal year, Return on Equity [ROE] came in at 33.28% in FY2025 (-3.85 pp), 37.13% in FY2024 (-1.69 pp), 38.82% in FY2023 (-8.33 pp) and 47.15% in FY2022 (+0.07 pp).
- Five-year quarterly Return on Equity [ROE] spans a low of 29.70% in fiscal Q1 2026 and a high of 45.63% in fiscal Q2 2022.
- Year over year, Return on Equity [ROE] has now increased in each of the last four quarters, with an average year-over-year change of -1.52 percentage points over the last eight quarters.
- The high point for year-over-year Return on Equity [ROE] in five years was fiscal Q2 2022 (a gain of 5.17 percentage points); the low point was fiscal Q3 2023 (a drop of 8.34 percentage points).
- Per Business Quant data, the three fiscal quarters before Q1 2027 came in at 31.22% (Q4 2026), 31.10% (Q3 2026) and 31.64% (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROE (Qtr) |
|---|---|---|---|---|---|
| 1 | Microsoft | 3,980.35 Bn | 3,915.84 Bn | 62.56 Bn | 31.25% |
| 2 | International Business Machines | 233.58 Bn | 188.86 Bn | 9.71 Bn | 31.58% |
| 3 | Equinix | 98.73 Bn | 86.61 Bn | 1.31 Bn | 11.38% |
| 4 | Cloudflare | 79.73 Bn | 62.17 Bn | 557.23 Mn | -15.50% |
| 5 | Nebius | 30.46 Bn | 3.89 Bn | 448.70 Mn | 0.70% |
| 6 | Verisign | 28.02 Bn | 25.38 Bn | 393.20 Mn | - |
| 7 | CoreWeave | 24.06 Bn | 11.15 Bn | 1.70 Bn | -39.41% |
| 8 | Nutanix | 15.84 Bn | 7.53 Bn | 651.35 Mn | - |
| 9 | GoDaddy | 14.72 Bn | 10.10 Bn | 843.00 Mn | - |
| 10 | Akamai Technologies | 11.18 Bn | 4.59 Bn | 613.75 Mn | 8.51% |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 31.25% |
| Jun 30, 2026 | 31.22% |
| Mar 31, 2026 | 31.10% |
| Dec 31, 2025 | 31.64% |
| Sep 30, 2025 | 29.70% |
| Jun 30, 2025 | 30.61% |
| Mar 31, 2025 | 30.94% |
| Dec 31, 2024 | 31.42% |
| Sep 30, 2024 | 32.55% |
| Jun 30, 2024 | 33.79% |
| Mar 31, 2024 | 35.07% |
| Dec 31, 2023 | 35.97% |
| Sep 30, 2023 | 36.12% |
| Jun 30, 2023 | 36.10% |
| Mar 31, 2023 | 36.54% |
| Dec 31, 2022 | 37.82% |
| Sep 30, 2022 | 41.04% |
| Jun 30, 2022 | 44.16% |
| Mar 31, 2022 | 44.87% |
| Dec 31, 2021 | 45.63% |
Microsoft Return on Equity [ROE] 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-equity-%5Broe%5D&ticker=MSFT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-equity-[roe]", "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-equity-%5Broe%5D&ticker=MSFT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();