Strategy (MSTR) Revenue (2010 - 2026)
Strategy's (MSTR) quarterly Revenue came in at $122.4 million in Q2 2026, up 6.88% year-over-year from $114.5 million in Q2 2025, and down 1.55% quarter-over-quarter from $124.3 million in Q1 2026.
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Analysis
Strategy (MSTR) Revenue (2010 - 2026) Analysis & Trends
Strategy has disclosed Revenue across 17 years of filings, most recently posting $122.4 million for Q2 2026.
- In Q2 2026, Revenue rose 6.88% year-over-year to $122.4 million; the TTM figure through Jun 2026 stood at $498.3 million (up 7.79% YoY), while the FY2025 annual figure was $477.2 million, up 2.97% from the prior year.
- Revenue came in at $122.4 million for Q2 2026 at Strategy, down from $124.3 million in the prior quarter.
- In the past five years, Revenue ranged from a high of $132.6 million in Q4 2022 to a low of $111.1 million in Q1 2025.
- Average Revenue over 5 years is $121.3 million, with a median of $122.0 million recorded in 2022.
- Year-over-year, Revenue fell 10.34% in 2024 and increased 11.92% in 2026.
- Over 5 years, Revenue stood at $132.6 million in 2022, then decreased by 6.09% to $124.5 million in 2023, then declined by 3.04% to $120.7 million in 2024, then gained by 1.9% to $123.0 million in 2025, then slipped by 0.5% to $122.4 million in 2026.
- Per Business Quant data, the three most recent Revenue figures were $122.4 million in Q2 2026, $124.3 million in Q1 2026, and $123.0 million in Q4 2025.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Revenue (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 460.85 Bn | 451.55 Bn | 1.64 Bn | 1.94 Bn |
| 2 | Oracle | 437.09 Bn | 400.44 Bn | - | 19.35 Bn |
| 3 | Sap Se | 258.74 Bn | 237.66 Bn | 8.40 Bn | 11.48 Bn |
| 4 | Salesforce | 195.52 Bn | 184.12 Bn | 8.70 Bn | 11.35 Bn |
| 5 | ServiceNow | 145.61 Bn | 140.94 Bn | 2.82 Bn | 3.99 Bn |
| 6 | Automatic Data Processing | 104.89 Bn | 100.66 Bn | 2.51 Bn | 5.47 Bn |
| 7 | Intuit | 76.97 Bn | 69.77 Bn | 3.46 Bn | 4.35 Bn |
| 8 | Relx | 60.41 Bn | 60.04 Bn | - | - |
| 9 | Strategy | 57.09 Bn | 54.64 Bn | 81.55 Mn | 122.37 Mn |
| 10 | Workday | 46.40 Bn | 42.99 Bn | 2.21 Bn | 2.65 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 122.37 Mn |
| Mar 31, 2026 | 124.30 Mn |
| Dec 31, 2025 | 122.99 Mn |
| Sep 30, 2025 | 128.69 Mn |
| Jun 30, 2025 | 114.49 Mn |
| Mar 31, 2025 | 111.07 Mn |
| Dec 31, 2024 | 120.70 Mn |
| Sep 30, 2024 | 116.07 Mn |
| Jun 30, 2024 | 111.44 Mn |
| Mar 31, 2024 | 115.25 Mn |
| Dec 31, 2023 | 124.48 Mn |
| Sep 30, 2023 | 129.46 Mn |
| Jun 30, 2023 | 120.40 Mn |
| Mar 31, 2023 | 121.92 Mn |
| Dec 31, 2022 | 132.55 Mn |
| Sep 30, 2022 | 125.36 Mn |
| Jun 30, 2022 | 122.07 Mn |
| Mar 31, 2022 | 119.28 Mn |
| Dec 31, 2021 | 134.52 Mn |
| Sep 30, 2021 | 127.99 Mn |
API Access
Strategy Revenue 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=revenue&ticker=MSTR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "revenue", "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=revenue&ticker=MSTR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();