Microsoft (MSFT) Interest Expenses (2009 - 2026)
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Analysis
Microsoft (MSFT) Interest Expenses (2009 - 2026) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Int Expense (Qtr) |
|---|---|---|---|---|---|
| 1 | Microsoft | 3,944.62 Bn | 3,880.11 Bn | 62.56 Bn | 870.00 Mn |
| 2 | International Business Machines | 231.10 Bn | 185.71 Bn | 9.71 Bn | 491.00 Mn |
| 3 | Equinix | 100.11 Bn | 88.01 Bn | 1.31 Bn | 163.00 Mn |
| 4 | Cloudflare | 96.02 Bn | 78.46 Bn | 557.23 Mn | 3.55 Mn |
| 5 | Nebius | 31.44 Bn | 4.87 Bn | 448.70 Mn | -119.10 Mn |
| 6 | Verisign | 27.82 Bn | 25.17 Bn | 393.20 Mn | 21.20 Mn |
| 7 | CoreWeave | 25.57 Bn | 12.66 Bn | 1.70 Bn | - |
| 8 | Nutanix | 15.68 Bn | 7.37 Bn | 651.35 Mn | - |
| 9 | GoDaddy | 14.30 Bn | 9.69 Bn | 843.00 Mn | 37.70 Mn |
| 10 | Akamai Technologies | 12.01 Bn | 5.41 Bn | 613.75 Mn | 9.08 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 870.00 Mn |
| Jun 30, 2026 | 839.00 Mn |
| Mar 31, 2026 | 778.00 Mn |
| Dec 31, 2025 | 736.00 Mn |
| Sep 30, 2025 | 698.00 Mn |
| Jun 30, 2025 | 615.00 Mn |
| Mar 31, 2025 | 594.00 Mn |
| Dec 31, 2024 | 594.00 Mn |
| Sep 30, 2024 | 582.00 Mn |
| Jun 30, 2024 | 701.00 Mn |
| Mar 31, 2024 | 800.00 Mn |
| Dec 31, 2023 | 909.00 Mn |
| Sep 30, 2023 | 525.00 Mn |
| Jun 30, 2023 | 482.00 Mn |
| Mar 31, 2023 | 496.00 Mn |
| Dec 31, 2022 | 490.00 Mn |
| Sep 30, 2022 | 500.00 Mn |
| Jun 30, 2022 | 496.00 Mn |
| Mar 31, 2022 | 503.00 Mn |
| Dec 31, 2021 | 525.00 Mn |
API Access
Microsoft 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=MSFT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "interest-expenses", "ticker": "MSFT", "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=MSFT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();