Microsoft (MSFT) EPS (Diluted) (2009 - 2026)
Microsoft (MSFT) posted EPS (Diluted) of $4.80 for fiscal Q4 2026 (quarter ended Jun 30, 2026), up 31.5% from $3.65 a year earlier and up 12.4% from the prior quarter.
Powered by 
Analysis
Microsoft (MSFT) EPS (Diluted) (2009 - 2026) Analysis & Trends
For FY2026 (ended Jun 30, 2026), Microsoft's EPS (Diluted) came in at $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 14 quarters, with growth averaging 23.7% 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 $4.27 (Q3 2026), $5.16 (Q2 2026) and $3.72 (Q1 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EPS (Diluted) (Qtr) |
|---|---|---|---|---|---|
| 1 | Microsoft | 3,833.59 Bn | 3,756.75 Bn | 60.48 Bn | 4.80 |
| 2 | International Business Machines | 212.47 Bn | 163.37 Bn | 9.91 Bn | 2.27 |
| 3 | Cloudflare | 112.40 Bn | 95.93 Bn | 499.52 Mn | -0.48 |
| 4 | Equinix | 99.47 Bn | 88.02 Bn | 1.40 Bn | 4.83 |
| 5 | Nebius | 60.05 Bn | 33.48 Bn | 448.70 Mn | -0.67 |
| 6 | CoreWeave | 48.26 Bn | 35.35 Bn | 1.70 Bn | -1.14 |
| 7 | Verisign | 25.97 Bn | 23.18 Bn | 384.60 Mn | 2.38 |
| 8 | Nutanix | 18.41 Bn | 10.09 Bn | 651.35 Mn | 4.35 |
| 9 | Akamai Technologies | 16.36 Bn | 9.77 Bn | 613.75 Mn | 0.52 |
| 10 | DigitalOcean Holdings | 14.67 Bn | 12.67 Bn | 154.66 Mn | 0.28 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| 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 |
| Sep 30, 2021 | 2.71 |
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();