Microsoft (MSFT) Total Liabilities (2009 - 2026)
Microsoft (MSFT) posted Total Liabilities of $308.89 billion for fiscal Q1 2027 (quarter ended Sep 30, 2026), up 13.0% from $273.28 billion a year earlier but down 2.2% from the prior quarter.
Powered by 
Analysis
Microsoft (MSFT) Total Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2026 (ended Jun 30, 2026), Microsoft's Total Liabilities came in at $315.99 billion, up 14.7% from FY2025.
- 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%).
- Quarterly Total Liabilities has run from a low of $180.38 billion in fiscal Q2 2022 to a high of $315.99 billion in fiscal Q4 2026 over five years.
- On a year-over-year basis, Total Liabilities has increased in each of the last seven quarters, with growth averaging 11.9% 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 $315.99 billion (Q4 2026), $279.86 billion (Q3 2026) and $274.43 billion (Q2 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Microsoft | 3,978.22 Bn | 3,913.71 Bn | 62.56 Bn | 308.89 Bn |
| 2 | International Business Machines | 234.30 Bn | 188.91 Bn | 9.71 Bn | 118.81 Bn |
| 3 | Equinix | 98.75 Bn | 86.64 Bn | 1.31 Bn | 29.91 Bn |
| 4 | Cloudflare | 87.20 Bn | 70.73 Bn | 499.52 Mn | 4.85 Bn |
| 5 | Nebius | 29.33 Bn | 2.76 Bn | 448.70 Mn | 17.62 Bn |
| 6 | Verisign | 28.15 Bn | 25.50 Bn | 393.20 Mn | 3.56 Bn |
| 7 | CoreWeave | 24.27 Bn | 11.36 Bn | 1.70 Bn | 72.05 Bn |
| 8 | Nutanix | 15.78 Bn | 7.47 Bn | 651.35 Mn | 4.37 Bn |
| 9 | GoDaddy | 15.07 Bn | 10.45 Bn | 843.00 Mn | 8.05 Bn |
| 10 | Akamai Technologies | 11.38 Bn | 4.78 Bn | 613.75 Mn | 10.32 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 308.89 Bn |
| 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 |
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();