Microsoft (MSFT) Return on Assets [ROA] (2009 - 2026)
Microsoft (MSFT) reported Return on Assets [ROA] of 18.42% for fiscal Q4 2026 (quarter ended Jun 30, 2026), up 1.18 percentage points from 17.24% a year earlier but down 0.01 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).
- Five-year quarterly Return on Assets [ROA] spans a low of 16.71% in fiscal Q1 2026 and a high of 21.16% in fiscal Q3 2022.
- Year over year, Return on Assets [ROA] has now increased in each of the last three quarters, with an average year-over-year change of +0.02 percentage points over the last eight quarters.
- The high point for year-over-year Return on Assets [ROA] in five years was fiscal Q1 2022 (a gain of 4.52 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 Q4 2026 came in at 18.42% (Q3 2026), 18.32% (Q2 2026) and 16.71% (Q1 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROA (Qtr) |
|---|---|---|---|---|---|
| 1 | Microsoft | 3,932.24 Bn | 3,855.40 Bn | 60.48 Bn | 18.42% |
| 2 | International Business Machines | 219.04 Bn | 169.85 Bn | 9.91 Bn | 6.96% |
| 3 | Cloudflare | 104.70 Bn | 88.23 Bn | 499.52 Mn | -3.26% |
| 4 | Equinix | 97.19 Bn | 85.75 Bn | 1.40 Bn | 3.73% |
| 5 | Nebius | 40.23 Bn | 13.66 Bn | 448.70 Mn | 0.25% |
| 6 | CoreWeave | 33.76 Bn | 20.85 Bn | 1.70 Bn | -2.91% |
| 7 | Verisign | 27.46 Bn | 24.67 Bn | 384.60 Mn | 54.84% |
| 8 | Nutanix | 17.98 Bn | 9.67 Bn | 651.35 Mn | 35.49% |
| 9 | GoDaddy | 13.83 Bn | 9.41 Bn | 828.20 Mn | 11.27% |
| 10 | Akamai Technologies | 12.69 Bn | 6.10 Bn | 613.75 Mn | 3.08% |
Historic Data
| Date | Value |
|---|---|
| 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% |
| Sep 30, 2021 | 20.29% |
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();