Microsoft (MSFT) Total Liabilities (2009 - 2026)
Microsoft (MSFT) posted Total Liabilities of $315.99 billion for fiscal Q4 2026 (quarter ended Jun 30, 2026), up 14.7% from $275.52 billion a year earlier and up 12.9% from the prior quarter.
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Analysis
Microsoft (MSFT) Total Liabilities (2009 - 2026) Analysis & Trends
Since fiscal Q4 2009, Microsoft has reported Total Liabilities for 69 quarters.
- Annual Total Liabilities has increased for six consecutive fiscal years, with a five-year compound annual growth rate of 10.5% (FY2021 to FY2026).
- In prior fiscal years, Microsoft's Total Liabilities was $275.52 billion in FY2025 (+13.1%), $243.69 billion in FY2024 (+18.4%), $205.75 billion in FY2023 (+3.8%) and $198.3 billion in FY2022 (+3.4%).
- The fiscal Q4 2026 figure stands as the highest quarterly Total Liabilities in data going back to fiscal Q4 2009.
- On a year-over-year basis, Total Liabilities has increased in each of the last six quarters, with growth averaging 10.9% over the last eight quarters.
- The strongest year-over-year quarter for Total Liabilities in the past five years was fiscal Q2 2024, with growth of 28.0%; the weakest was fiscal Q2 2025, with a decline of 0.5%.
- According to Business Quant data, Total Liabilities for the three prior fiscal quarters was $279.86 billion (Q3 2026), $274.43 billion (Q2 2026) and $273.28 billion (Q1 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Microsoft | 3,932.24 Bn | 3,855.40 Bn | 60.48 Bn | 315.99 Bn |
| 2 | International Business Machines | 219.04 Bn | 169.85 Bn | 9.91 Bn | 117.56 Bn |
| 3 | Cloudflare | 104.70 Bn | 88.23 Bn | 499.52 Mn | 4.85 Bn |
| 4 | Equinix | 97.19 Bn | 85.75 Bn | 1.40 Bn | 26.69 Bn |
| 5 | Nebius | 40.23 Bn | 13.66 Bn | 448.70 Mn | 17.62 Bn |
| 6 | CoreWeave | 33.76 Bn | 20.85 Bn | 1.70 Bn | 72.05 Bn |
| 7 | Verisign | 27.46 Bn | 24.67 Bn | 384.60 Mn | 4.06 Bn |
| 8 | Nutanix | 17.98 Bn | 9.67 Bn | 651.35 Mn | 4.37 Bn |
| 9 | GoDaddy | 13.83 Bn | 9.41 Bn | 828.20 Mn | 7.99 Bn |
| 10 | Akamai Technologies | 12.69 Bn | 6.10 Bn | 613.75 Mn | 10.32 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 315.99 Bn |
| Mar 31, 2026 | 279.86 Bn |
| Dec 31, 2025 | 274.43 Bn |
| Sep 30, 2025 | 273.28 Bn |
| Jun 30, 2025 | 275.52 Bn |
| Mar 31, 2025 | 240.73 Bn |
| Dec 31, 2024 | 231.20 Bn |
| Sep 30, 2024 | 235.29 Bn |
| Jun 30, 2024 | 243.69 Bn |
| Mar 31, 2024 | 231.12 Bn |
| Dec 31, 2023 | 232.29 Bn |
| Sep 30, 2023 | 225.07 Bn |
| Jun 30, 2023 | 205.75 Bn |
| Mar 31, 2023 | 185.41 Bn |
| Dec 31, 2022 | 181.42 Bn |
| Sep 30, 2022 | 186.22 Bn |
| Jun 30, 2022 | 198.30 Bn |
| Mar 31, 2022 | 181.68 Bn |
| Dec 31, 2021 | 180.38 Bn |
| Sep 30, 2021 | 183.44 Bn |
API Access
Microsoft Total Liabilities 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=total-liabilities&ticker=MSFT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=MSFT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();