Microsoft (MSFT) Price to Earnings (2009 - 2026)
Microsoft's (MSFT) quarterly Price to Earnings came in at 83.69 in Q2 2026, down 54.34% year-over-year from 183.27 in Q2 2025, and down 3.3% quarter-over-quarter from 86.54 in Q1 2026.
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Analysis
Microsoft (MSFT) Price to Earnings (2009 - 2026) Analysis & Trends
Microsoft has disclosed Price to Earnings across 18 years of filings, most recently posting 83.69 for Q2 2026.
- In Q2 2026, Price to Earnings fell 54.34% year-over-year to 83.69; the TTM figure through Jun 2026 stood at 21.13 (down 45.83% YoY), while the FY2026 annual figure was 21.13, down 45.83% from the prior year.
- Price to Earnings came in at 83.69 for Q2 2026 at Microsoft, down from 86.54 in the prior quarter.
- In the past five years, Price to Earnings ranged from a high of 192.08 in Q2 2024 to a low of 83.69 in Q2 2026.
- Average Price to Earnings over 5 years is 129.89, with a median of 128.75 recorded in 2024.
- Year-over-year, Price to Earnings surged 39.05% in 2022 and tumbled 54.34% in 2026.
- Over 5 years, Price to Earnings stood at 108.73 in 2022, then increased by 17.52% to 127.79 in 2023, then gained by 1.72% to 129.99 in 2024, then retreated by 28.13% to 93.42 in 2025, then fell by 10.42% to 83.69 in 2026.
- Per Business Quant data, the three most recent Price to Earnings figures were 83.69 in Q2 2026, 86.54 in Q1 2026, and 93.42 in Q4 2025.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Microsoft | 3,717.88 Bn | 3,585.13 Bn | 60.48 Bn |
| 2 | International Business Machines | 219.37 Bn | 208.10 Bn | 9.91 Bn |
| 3 | Cloudflare | 113.46 Bn | 109.29 Bn | 499.52 Mn |
| 4 | Equinix | 102.39 Bn | 100.19 Bn | 1.40 Bn |
| 5 | Nebius | 57.34 Bn | 49.30 Bn | 448.70 Mn |
| 6 | CoreWeave | 47.88 Bn | 42.34 Bn | 1.70 Bn |
| 7 | Verisign | 26.51 Bn | 25.48 Bn | 384.60 Mn |
| 8 | Nutanix | 18.85 Bn | 16.49 Bn | 651.35 Mn |
| 9 | Akamai Technologies | 17.01 Bn | 13.65 Bn | 613.75 Mn |
| 10 | DigitalOcean Holdings | 14.83 Bn | 14.06 Bn | 154.66 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| 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 |
| Sep 30, 2021 | 31.19 |
API Access
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_KEYimport 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();