Strategy (MSTR) Shares Outstanding (Diluted) (2010 - 2026)
Strategy (MSTR) recorded Shares Outstanding (Diluted) of 352.53 million in Q2 2026, up 14.9% from 306.76 million a year earlier and up 5.6% from the prior quarter.
Strategy (MSTR) Shares Outstanding (Diluted) (2010 - 2026) Analysis & Trends
For FY2025, Strategy reported Shares Outstanding (Diluted) of 277.66 million, up 44.2% from FY2024.
- Annual Shares Outstanding (Diluted) has increased for five straight years, with a five-year compound annual growth rate of 23.5% (FY2020 to FY2025).
- Across earlier years, Shares Outstanding (Diluted) came in at 192.55 million in FY2024 (+16.2%), 165.66 million in FY2023 (+46.3%), 113.21 million in FY2022 (+13.0%) and 100.2 million in FY2021 (+3.5%).
- The Q2 2026 figure is the highest quarterly Shares Outstanding (Diluted) in data going back to Q2 2010.
- On a year-over-year basis, Shares Outstanding (Diluted) has increased for 21 consecutive quarters, with growth averaging 40.6% over the last eight quarters.
- The year-over-year growth in Shares Outstanding (Diluted) has ranged between 3.5% (Q4 2021) and 71.8% (Q2 2025) over the last five years.
- Per Business Quant, the preceding three quarters came in at 333.91 million (Q1 2026), 277.66 million (Q4 2025) and 315.39 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 450.50 Bn | 419.56 Bn | 1.64 Bn | 2.57 Bn |
| 2 | Oracle | 401.01 Bn | 273.57 Bn | - | 3.00 Bn |
| 3 | Sap Se | 257.03 Bn | 178.11 Bn | 8.40 Bn | 1.18 Bn |
| 4 | Salesforce | 187.04 Bn | 142.92 Bn | 8.70 Bn | 821.00 Mn |
| 5 | ServiceNow | 135.91 Bn | 114.37 Bn | 2.82 Bn | 1.03 Bn |
| 6 | Automatic Data Processing | 104.14 Bn | 86.27 Bn | 2.51 Bn | 403.30 Mn |
| 7 | Intuit | 72.30 Bn | 51.65 Bn | 3.44 Bn | 277.00 Mn |
| 8 | Relx | 60.17 Bn | 57.14 Bn | - | 1.84 Bn |
| 9 | Strategy | 55.31 Bn | 48.30 Bn | 81.55 Mn | 352.53 Mn |
| 10 | Workday | 45.49 Bn | 21.61 Bn | 2.00 Bn | 246.31 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 352.53 Mn |
| Mar 31, 2026 | 333.91 Mn |
| Dec 31, 2025 | 277.66 Mn |
| Sep 30, 2025 | 315.39 Mn |
| Jun 30, 2025 | 306.76 Mn |
| Mar 31, 2025 | 256.47 Mn |
| Dec 31, 2024 | 192.55 Mn |
| Sep 30, 2024 | 197.27 Mn |
| Jun 30, 2024 | 178.61 Mn |
| Mar 31, 2024 | 171.94 Mn |
| Dec 31, 2023 | 165.66 Mn |
| Sep 30, 2023 | 142.21 Mn |
| Jun 30, 2023 | 160.95 Mn |
| Mar 31, 2023 | 145.75 Mn |
| Dec 31, 2022 | 113.21 Mn |
| Sep 30, 2022 | 113.08 Mn |
| Jun 30, 2022 | 113.00 Mn |
| Mar 31, 2022 | 112.89 Mn |
| Dec 31, 2021 | 100.20 Mn |
| Sep 30, 2021 | 99.99 Mn |
Strategy Shares Outstanding (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=shares-outstanding-diluted&ticker=MSTR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "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=shares-outstanding-diluted&ticker=MSTR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();