Strategy (MSTR) EV to EBITDA (2011 - 2025)
Strategy's EV to EBITDA was 7.81 in Q3 2025, down 50.4% from the prior quarter.
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Analysis
Strategy (MSTR) EV to EBITDA (2011 - 2025) Analysis & Trends
On a trailing twelve-month basis, Strategy's EV to EBITDA was 7.79 through Sep 30, 2025; for FY2020, it came in at 5630.87.
- In earlier years, EV to EBITDA was 57.14 in FY2019 (-49.9%), 114.10 in FY2018 (+506.8%), 18.80 in FY2017 (+45.9%) and 12.88 in FY2016 (+28.3%).
- The Q3 2025 figure marks the lowest quarterly EV to EBITDA since Q3 2017.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Palantir Technologies | 386.60 Bn | 351.42 Bn | 1.93 Bn |
| 2 | Oracle | 343.94 Bn | 216.07 Bn | - |
| 3 | Sap Se | 272.35 Bn | 199.75 Bn | 8.64 Bn |
| 4 | Salesforce | 175.46 Bn | 131.33 Bn | 8.70 Bn |
| 5 | Automatic Data Processing | 122.07 Bn | 108.86 Bn | 2.53 Bn |
| 6 | ServiceNow | 105.47 Bn | 84.73 Bn | 2.90 Bn |
| 7 | Intuit | 94.25 Bn | 73.60 Bn | 3.44 Bn |
| 8 | Relx | 73.66 Bn | 72.75 Bn | - |
| 9 | Strategy | 51.78 Bn | 38.91 Bn | 89.63 Mn |
| 10 | Thomson Reuters | 50.52 Bn | 46.49 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2025 | 7.81 |
| Jun 30, 2025 | 15.74 |
| Dec 31, 2020 | 5,630.87 |
| Sep 30, 2020 | 85.90 |
| Jun 30, 2020 | 15.77 |
| Mar 31, 2020 | 25.46 |
| Dec 31, 2019 | 77.10 |
| Dec 31, 2018 | 114.10 |
| Sep 30, 2018 | 30.15 |
| Jun 30, 2018 | 15.88 |
| Mar 31, 2018 | 11.58 |
| Dec 31, 2017 | 18.80 |
| Sep 30, 2017 | 7.18 |
| Jun 30, 2017 | 12.68 |
| Mar 31, 2017 | 11.73 |
| Dec 31, 2016 | 12.88 |
| Sep 30, 2016 | 9.89 |
| Jun 30, 2016 | 10.57 |
| Mar 31, 2016 | 9.99 |
| Dec 31, 2015 | 10.04 |
API Access
Strategy EV to EBITDA 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=ev-to-ebitda&ticker=MSTR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-ebitda", "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=ev-to-ebitda&ticker=MSTR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();