Microsoft (MSFT) EPS (Diluted) (2009 - 2026)
Microsoft (MSFT) posted EPS (Diluted) of $4.92 for fiscal Q1 2027 (quarter ended Sep 30, 2026), up 32.4% from $3.72 a year earlier and up 2.5% from the prior quarter.
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Analysis
Microsoft (MSFT) EPS (Diluted) (2009 - 2026) Analysis & Trends
For the trailing twelve months through Sep 30, 2026, EPS (Diluted) at Microsoft was $19.16, up 36.3% year-over-year; for FY2026 (ended Jun 30, 2026), it was $17.95, up 31.6% from FY2025.
- Annual EPS (Diluted) has increased for eight consecutive fiscal years, with a five-year compound annual growth rate of 17.4% (FY2021 to FY2026).
- In prior fiscal years, Microsoft's EPS (Diluted) was $13.64 in FY2025 (+15.6%), $11.80 in FY2024 (+21.8%), $9.68 in FY2023 (+0.4%) and $9.65 in FY2022 (+19.8%).
- Quarterly EPS (Diluted) has run from a low of $2.20 in fiscal Q2 2023 to a high of $5.16 in fiscal Q2 2026 over five years.
- On a year-over-year basis, EPS (Diluted) has increased in each of the last 15 quarters, with growth averaging 26.4% over the last eight quarters.
- The strongest year-over-year quarter for EPS (Diluted) in the past five years was fiscal Q2 2026, with growth of 59.7%; the weakest was fiscal Q1 2023, with a decline of 13.4%.
- According to Business Quant data, EPS (Diluted) for the three prior fiscal quarters was $4.80 (Q4 2026), $4.27 (Q3 2026) and $5.16 (Q2 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EPS (Diluted) (Qtr) |
|---|---|---|---|---|---|
| 1 | Microsoft | 3,944.62 Bn | 3,880.11 Bn | 62.56 Bn | 4.92 |
| 2 | International Business Machines | 231.10 Bn | 185.71 Bn | 9.71 Bn | 2.30 |
| 3 | Equinix | 100.11 Bn | 88.01 Bn | 1.31 Bn | 4.93 |
| 4 | Cloudflare | 96.02 Bn | 78.46 Bn | 557.23 Mn | -0.10 |
| 5 | Nebius | 31.44 Bn | 4.87 Bn | 448.70 Mn | -0.67 |
| 6 | Verisign | 27.82 Bn | 25.17 Bn | 393.20 Mn | 2.35 |
| 7 | CoreWeave | 25.57 Bn | 12.66 Bn | 1.70 Bn | -1.14 |
| 8 | Nutanix | 15.68 Bn | 7.37 Bn | 651.35 Mn | 4.35 |
| 9 | GoDaddy | 14.30 Bn | 9.69 Bn | 843.00 Mn | 2.08 |
| 10 | Akamai Technologies | 12.01 Bn | 5.41 Bn | 613.75 Mn | 0.52 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 4.92 |
| Jun 30, 2026 | 4.80 |
| Mar 31, 2026 | 4.27 |
| Dec 31, 2025 | 5.16 |
| Sep 30, 2025 | 3.72 |
| Jun 30, 2025 | 3.65 |
| Mar 31, 2025 | 3.46 |
| Dec 31, 2024 | 3.23 |
| Sep 30, 2024 | 3.30 |
| Jun 30, 2024 | 2.95 |
| Mar 31, 2024 | 2.94 |
| Dec 31, 2023 | 2.93 |
| Sep 30, 2023 | 2.99 |
| Jun 30, 2023 | 2.69 |
| Mar 31, 2023 | 2.45 |
| Dec 31, 2022 | 2.20 |
| Sep 30, 2022 | 2.35 |
| Jun 30, 2022 | 2.22 |
| Mar 31, 2022 | 2.22 |
| Dec 31, 2021 | 2.48 |
API Access
Microsoft EPS (Diluted) 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=eps-diluted&ticker=MSFT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "eps-diluted", "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=eps-diluted&ticker=MSFT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();