Microsoft (MSFT) Price to Earnings (2009 - 2026)
Microsoft's (MSFT) Price to Earnings was 26.71 for fiscal Q1 2027 (quarter ended Sep 30, 2026), down 27.2% from 36.70 a year earlier but up 28.9% from the prior quarter.
Microsoft (MSFT) Price to Earnings (2009 - 2026) Analysis & Trends
For FY2026 (ended Jun 30, 2026), Price to Earnings at Microsoft was 20.71, down 43.0% from FY2025.
- By fiscal year, Price to Earnings came in at 36.31 in FY2025 (-3.7%), 37.70 in FY2024 (+7.8%), 34.98 in FY2023 (+32.7%) and 26.35 in FY2022 (-20.7%).
- Five-year quarterly Price to Earnings spans a low of 20.71 in fiscal Q4 2026 and a high of 37.70 in fiscal Q4 2024.
- Year over year, Price to Earnings has now declined in each of the last four quarters, with an average decline of 15.7% over the last eight quarters.
- The high point for year-over-year Price to Earnings in five years was fiscal Q4 2023 (growth of 32.7%); the low point was fiscal Q4 2026 (a decline of 43.0%).
- Per Business Quant data, the three fiscal quarters before Q1 2027 came in at 20.71 (Q4 2026), 21.96 (Q3 2026) and 30.13 (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Microsoft | 3,944.62 Bn | 3,880.11 Bn | 62.56 Bn |
| 2 | International Business Machines | 231.10 Bn | 185.71 Bn | 9.71 Bn |
| 3 | Equinix | 100.11 Bn | 88.01 Bn | 1.31 Bn |
| 4 | Cloudflare | 96.02 Bn | 78.46 Bn | 557.23 Mn |
| 5 | Nebius | 31.44 Bn | 4.87 Bn | 448.70 Mn |
| 6 | Verisign | 27.82 Bn | 25.17 Bn | 393.20 Mn |
| 7 | CoreWeave | 25.57 Bn | 12.66 Bn | 1.70 Bn |
| 8 | Nutanix | 15.68 Bn | 7.37 Bn | 651.35 Mn |
| 9 | GoDaddy | 14.30 Bn | 9.69 Bn | 843.00 Mn |
| 10 | Akamai Technologies | 12.01 Bn | 5.41 Bn | 613.75 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 26.71 |
| Jun 30, 2026 | 20.71 |
| Mar 31, 2026 | 21.96 |
| Dec 31, 2025 | 30.13 |
| Sep 30, 2025 | 36.70 |
| Jun 30, 2025 | 36.31 |
| Mar 31, 2025 | 28.88 |
| Dec 31, 2024 | 33.79 |
| Sep 30, 2024 | 35.35 |
| Jun 30, 2024 | 37.70 |
| Mar 31, 2024 | 36.29 |
| Dec 31, 2023 | 33.86 |
| Sep 30, 2023 | 30.43 |
| Jun 30, 2023 | 34.98 |
| Mar 31, 2023 | 31.06 |
| Dec 31, 2022 | 26.48 |
| Sep 30, 2022 | 24.89 |
| Jun 30, 2022 | 26.35 |
| Mar 31, 2022 | 31.84 |
| Dec 31, 2021 | 35.43 |
Microsoft Price to Earnings 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=price-to-earnings&ticker=MSFT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-earnings", "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=price-to-earnings&ticker=MSFT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();