Strategy (MSTR) Cash & Equivalents (2010 - 2026)
Strategy's Cash & Equivalents was $2.5 billion in Q3 2026, compared with $54.29 million a year earlier and up 46.1% from the prior quarter.
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Analysis
Strategy (MSTR) Cash & Equivalents (2010 - 2026) Analysis & Trends
At the end of FY2025, Cash & Equivalents at Strategy came in at $2.3 billion.
- Cash & Equivalents shows a five-year compound annual growth rate of 107.6% (FY2020 to FY2025).
- In earlier years, Cash & Equivalents was $38.12 million in FY2024 (-18.6%), $46.82 million in FY2023 (+6.8%), $43.84 million in FY2022 (-30.8%) and $63.36 million in FY2021 (+6.2%).
- The Q3 2026 figure marks the highest quarterly Cash & Equivalents in data going back to Q2 2010.
- Compared with a year earlier, Cash & Equivalents was higher in 1 of the last four quarters, with an average decline of 13.1%.
- The best year-over-year quarter for Cash & Equivalents over five years was Q2 2022 (growth of 23.0%); the worst was Q4 2022 (a decline of 30.8%).
- Per Business Quant data, MSTR's Cash & Equivalents in the three quarters before Q3 2026 was $1.71 billion (Q2 2026), $2.21 billion (Q1 2026) and $2.3 billion (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 386.60 Bn | 351.42 Bn | 1.93 Bn | 3.62 Bn |
| 2 | Oracle | 343.94 Bn | 216.07 Bn | - | 36.37 Bn |
| 3 | Sap Se | 272.35 Bn | 199.75 Bn | 8.64 Bn | 10.62 Bn |
| 4 | Salesforce | 175.46 Bn | 131.33 Bn | 8.70 Bn | 8.31 Bn |
| 5 | Automatic Data Processing | 122.07 Bn | 108.86 Bn | 2.53 Bn | 3.28 Bn |
| 6 | ServiceNow | 105.47 Bn | 84.73 Bn | 2.90 Bn | 2.39 Bn |
| 7 | Intuit | 94.25 Bn | 73.60 Bn | 3.44 Bn | 4.71 Bn |
| 8 | Relx | 73.66 Bn | 72.75 Bn | - | 291.59 Mn |
| 9 | Strategy | 51.78 Bn | 38.91 Bn | 89.63 Mn | 2.50 Bn |
| 10 | Thomson Reuters | 50.52 Bn | 46.49 Bn | - | 1.39 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 2.50 Bn |
| Jun 30, 2026 | 1.71 Bn |
| Mar 31, 2026 | 2.21 Bn |
| Dec 31, 2025 | 2.30 Bn |
| Sep 30, 2025 | 54.29 Mn |
| Jun 30, 2025 | 50.10 Mn |
| Mar 31, 2025 | 60.30 Mn |
| Dec 31, 2024 | 38.12 Mn |
| Sep 30, 2024 | 46.34 Mn |
| Jun 30, 2024 | 66.92 Mn |
| Mar 31, 2024 | 81.33 Mn |
| Dec 31, 2023 | 46.82 Mn |
| Sep 30, 2023 | 45.01 Mn |
| Jun 30, 2023 | 65.97 Mn |
| Mar 31, 2023 | 94.31 Mn |
| Dec 31, 2022 | 43.84 Mn |
| Sep 30, 2022 | 60.39 Mn |
| Jun 30, 2022 | 69.39 Mn |
| Mar 31, 2022 | 92.68 Mn |
| Dec 31, 2021 | 63.36 Mn |
API Access
Strategy Cash & Equivalents 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=cash-and-equivalents&ticker=MSTR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=MSTR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();