Strategy (MSTR) Interest Expenses (2025 - 2026)
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Analysis
Strategy (MSTR) Interest Expenses (2025 - 2026) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Int Expense (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 408.11 Bn | 372.93 Bn | 1.93 Bn | - |
| 2 | Oracle | 355.62 Bn | 227.75 Bn | - | 1.43 Bn |
| 3 | Sap Se | 276.79 Bn | 204.18 Bn | 8.64 Bn | -330.17 Mn |
| 4 | Salesforce | 175.88 Bn | 131.75 Bn | 8.70 Bn | 473.00 Mn |
| 5 | Automatic Data Processing | 121.54 Bn | 108.34 Bn | 2.53 Bn | 148.10 Mn |
| 6 | ServiceNow | 106.68 Bn | 85.94 Bn | 2.90 Bn | 81.00 Mn |
| 7 | Intuit | 93.48 Bn | 72.83 Bn | 3.44 Bn | 70.00 Mn |
| 8 | Relx | 73.38 Bn | 72.47 Bn | - | - |
| 9 | Strategy | 50.44 Bn | 37.58 Bn | 89.63 Mn | 15.38 Mn |
| 10 | Thomson Reuters | 48.75 Bn | 44.72 Bn | - | -2.00 Mn |
API Access
Strategy Interest Expenses 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=interest-expenses&ticker=MSTR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "interest-expenses", "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=interest-expenses&ticker=MSTR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();