Strategy (MSTR) EBT (2010 - 2026)
Strategy's (MSTR) quarterly EBT came in at -$8.2 billion in Q2 2026, down 158.68% year-over-year from $14.0 billion in Q2 2025, and up 43.21% quarter-over-quarter from -$14.5 billion in Q1 2026.
Strategy (MSTR) EBT (2010 - 2026) Analysis & Trends
Strategy has disclosed EBT across 17 years of filings, most recently posting -$8.2 billion for Q2 2026.
- In Q2 2026, EBT fell 158.68% year-over-year to -$8.2 billion; the TTM figure through Jun 2026 stood at -$36.3 billion (down 653.18% YoY), while the FY2025 annual figure was -$5.5 billion, down 185.68% from the prior year.
- EBT came in at -$8.2 billion for Q2 2026 at Strategy, up from -$14.5 billion in the prior quarter.
- In the past five years, EBT ranged from a high of $14.0 billion in Q2 2025 to a low of -$17.5 billion in Q4 2025.
- Average EBT over 5 years is -$1.8 billion, with a median of -$214.5 million recorded in 2024.
- Year-over-year, EBT sank 2771.75% in 2024 and soared 6612.94% in 2025.
- Over 5 years, EBT stood at -$254.1 million in 2022, then soared by 76.15% to -$60.6 million in 2023, then sank by 1593.58% to -$1.0 billion in 2024, then slumped by 1600.59% to -$17.5 billion in 2025, then soared by 52.93% to -$8.2 billion in 2026.
- Per Business Quant data, the three most recent EBT figures were -$8.2 billion in Q2 2026, -$14.5 billion in Q1 2026, and -$17.5 billion in Q4 2025.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBT (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 460.85 Bn | 451.55 Bn | 1.64 Bn | 1.08 Bn |
| 2 | Oracle | 437.09 Bn | 400.44 Bn | - | 5.61 Bn |
| 3 | Sap Se | 258.74 Bn | 237.66 Bn | 8.40 Bn | 3.49 Bn |
| 4 | Salesforce | 195.52 Bn | 184.12 Bn | 8.70 Bn | 4.55 Bn |
| 5 | ServiceNow | 145.61 Bn | 140.94 Bn | 2.82 Bn | 438.00 Mn |
| 6 | Automatic Data Processing | 104.89 Bn | 100.66 Bn | 2.51 Bn | 1.26 Bn |
| 7 | Intuit | 76.97 Bn | 69.77 Bn | 3.46 Bn | 540.00 Mn |
| 8 | Relx | 60.41 Bn | 60.04 Bn | - | - |
| 9 | Strategy | 57.09 Bn | 54.64 Bn | 81.55 Mn | -8.22 Bn |
| 10 | Workday | 46.40 Bn | 42.99 Bn | 2.21 Bn | 327.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -8.22 Bn |
| Mar 31, 2026 | -14.47 Bn |
| Dec 31, 2025 | -17.46 Bn |
| Sep 30, 2025 | 3.87 Bn |
| Jun 30, 2025 | 14.01 Bn |
| Mar 31, 2025 | -5.94 Bn |
| Dec 31, 2024 | -1.03 Bn |
| Sep 30, 2024 | -478.68 Mn |
| Jun 30, 2024 | -215.05 Mn |
| Mar 31, 2024 | -213.90 Mn |
| Dec 31, 2023 | -60.63 Mn |
| Sep 30, 2023 | -33.83 Mn |
| Jun 30, 2023 | -38.05 Mn |
| Mar 31, 2023 | 8.01 Mn |
| Dec 31, 2022 | -214.38 Mn |
| Sep 30, 2022 | -3.12 Mn |
| Jun 30, 2022 | -926.19 Mn |
| Mar 31, 2022 | -178.80 Mn |
| Dec 31, 2021 | -148.44 Mn |
| Sep 30, 2021 | -59.12 Mn |
Strategy EBT 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=ebt&ticker=MSTR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebt", "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=ebt&ticker=MSTR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();