Microsoft (MSFT) Return on Assets [ROA] (2009 - 2026)
Microsoft (MSFT) reported Return on Assets [ROA] of 18.55% for fiscal Q1 2027 (quarter ended Sep 30, 2026), up 1.84 percentage points from 16.71% a year earlier and up 0.14 percentage points from the prior quarter.
Microsoft (MSFT) Return on Assets [ROA] (2009 - 2026) Analysis & Trends
For FY2026 (ended Jun 30, 2026), Microsoft posted Return on Assets [ROA] of 19.42%, up 1.42 percentage points from FY2025.
- Return on Assets [ROA] has a five-year change of +0.13 percentage points (FY2021 to FY2026).
- By fiscal year, Return on Assets [ROA] came in at 18.00% in FY2025 (-1.07 pp), 19.07% in FY2024 (+0.44 pp), 18.63% in FY2023 (-2.19 pp) and 20.82% in FY2022 (+1.53 pp).
- The fiscal Q1 2027 figure ranks as the highest quarterly Return on Assets [ROA] since fiscal Q2 2023.
- Year over year, Return on Assets [ROA] has now increased in each of the last four quarters, with an average year-over-year change of +0.31 percentage points over the last eight quarters.
- The high point for year-over-year Return on Assets [ROA] in five years was fiscal Q2 2022 (a gain of 4.11 percentage points); the low point was fiscal Q3 2023 (a drop of 2.62 percentage points).
- Per Business Quant data, the three fiscal quarters before Q1 2027 came in at 18.42% (Q4 2026), 18.42% (Q3 2026) and 18.32% (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROA (Qtr) |
|---|---|---|---|---|---|
| 1 | Microsoft | 3,978.22 Bn | 3,913.71 Bn | 62.56 Bn | 18.55% |
| 2 | International Business Machines | 234.30 Bn | 188.91 Bn | 9.71 Bn | 7.27% |
| 3 | Equinix | 98.75 Bn | 86.64 Bn | 1.31 Bn | 3.85% |
| 4 | Cloudflare | 87.20 Bn | 70.73 Bn | 499.52 Mn | -3.26% |
| 5 | Nebius | 29.33 Bn | 2.76 Bn | 448.70 Mn | 0.25% |
| 6 | Verisign | 28.15 Bn | 25.50 Bn | 393.20 Mn | 55.13% |
| 7 | CoreWeave | 24.27 Bn | 11.36 Bn | 1.70 Bn | -2.91% |
| 8 | Nutanix | 15.78 Bn | 7.47 Bn | 651.35 Mn | 35.49% |
| 9 | GoDaddy | 15.07 Bn | 10.45 Bn | 843.00 Mn | 12.09% |
| 10 | Akamai Technologies | 11.38 Bn | 4.78 Bn | 613.75 Mn | 3.08% |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 18.55% |
| Jun 30, 2026 | 18.42% |
| Mar 31, 2026 | 18.42% |
| Dec 31, 2025 | 18.32% |
| Sep 30, 2025 | 16.71% |
| Jun 30, 2025 | 17.24% |
| Mar 31, 2025 | 17.63% |
| Dec 31, 2024 | 17.55% |
| Sep 30, 2024 | 17.49% |
| Jun 30, 2024 | 17.69% |
| Mar 31, 2024 | 18.05% |
| Dec 31, 2023 | 18.02% |
| Sep 30, 2023 | 17.98% |
| Jun 30, 2023 | 18.27% |
| Mar 31, 2023 | 18.54% |
| Dec 31, 2022 | 18.62% |
| Sep 30, 2022 | 19.26% |
| Jun 30, 2022 | 20.51% |
| Mar 31, 2022 | 21.16% |
| Dec 31, 2021 | 21.07% |
Microsoft Return on Assets [ROA] 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-assets-%5Broa%5D&ticker=MSFT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-assets-[roa]", "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-assets-%5Broa%5D&ticker=MSFT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();