Strategy (MSTR) Price to Earnings (2011 - 2025)
Strategy's (MSTR) Price to Earnings was 11.17 for Q3 2025, down 50.0% from the prior quarter.
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Analysis
Strategy (MSTR) Price to Earnings (2011 - 2025) Analysis & Trends
For FY2023, Price to Earnings at Strategy was 24.83.
- By year, Price to Earnings came in at 42.57 in FY2019 (-34.1%).
- The Q3 2025 figure ranks as the lowest quarterly Price to Earnings in data going back to Q1 2011.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Palantir Technologies | 450.50 Bn | 419.56 Bn | 1.64 Bn |
| 2 | Oracle | 401.01 Bn | 273.57 Bn | - |
| 3 | Sap Se | 257.03 Bn | 178.11 Bn | 8.40 Bn |
| 4 | Salesforce | 187.04 Bn | 142.92 Bn | 8.70 Bn |
| 5 | ServiceNow | 135.91 Bn | 114.37 Bn | 2.82 Bn |
| 6 | Automatic Data Processing | 104.14 Bn | 86.27 Bn | 2.51 Bn |
| 7 | Intuit | 72.30 Bn | 51.65 Bn | 3.44 Bn |
| 8 | Relx | 60.17 Bn | 57.14 Bn | - |
| 9 | Strategy | 55.31 Bn | 48.30 Bn | 81.55 Mn |
| 10 | Workday | 45.49 Bn | 21.61 Bn | 2.00 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2025 | 11.17 |
| Jun 30, 2025 | 22.32 |
| Dec 31, 2023 | 24.83 |
| Sep 30, 2023 | 51.69 |
| Jun 30, 2023 | 37.72 |
| Sep 30, 2020 | 730.66 |
| Jun 30, 2020 | 44.46 |
| Mar 31, 2020 | 27.45 |
| Dec 31, 2019 | 42.57 |
| Sep 30, 2019 | 104.30 |
| Jun 30, 2019 | 51.51 |
| Mar 31, 2019 | 199.72 |
| Dec 31, 2018 | 64.56 |
| Mar 31, 2018 | 342.53 |
| Dec 31, 2017 | 128.83 |
| Sep 30, 2017 | 19.54 |
| Jun 30, 2017 | 26.36 |
| Mar 31, 2017 | 23.31 |
| Dec 31, 2016 | 24.83 |
| Sep 30, 2016 | 19.35 |
API Access
Strategy 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=MSTR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-earnings", "ticker": "MSTR", "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=MSTR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();