Microsoft (MSFT) Other Accumulated Expenses (2009 - 2026)
Microsoft's Other Accumulated Expenses came in at $26.48 billion for fiscal Q1 2027 (quarter ended Sep 30, 2026), up 16.5% from $22.74 billion a year earlier but down 1.0% from the prior quarter.
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Analysis
Microsoft (MSFT) Other Accumulated Expenses (2009 - 2026) Analysis & Trends
At the end of FY2026 (ended Jun 30, 2026), Microsoft's Other Accumulated Expenses was $26.74 billion, up 6.9% from FY2025.
- Other Accumulated Expenses has increased in each of the last ten fiscal years, with a five-year compound annual growth rate of 18.0% (FY2021 to FY2026).
- Going back by fiscal year, Other Accumulated Expenses was $25.02 billion in FY2025 (+30.4%), $19.19 billion in FY2024 (+30.1%), $14.75 billion in FY2023 (+12.8%) and $13.07 billion in FY2022 (+12.0%).
- The five-year range for quarterly Other Accumulated Expenses is $11.68 billion (fiscal Q2 2022) to $26.74 billion (fiscal Q4 2026).
- Year-over-year, Other Accumulated Expenses has increased for 41 consecutive quarters, with growth averaging 18.9% over the last eight quarters.
- Across the past five years, year-over-year growth in Other Accumulated Expenses ran from 6.7% in fiscal Q3 2023 to 42.3% in fiscal Q3 2024.
- Business Quant data shows MSFT's Other Accumulated Expenses at $26.74 billion (Q4 2026), $24.55 billion (Q3 2026) and $24.31 billion (Q2 2026) in the three fiscal quarters before Q1 2027.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Microsoft | 3,944.62 Bn | 3,880.11 Bn | 62.56 Bn |
| 2 | International Business Machines | 231.10 Bn | 185.71 Bn | 9.71 Bn |
| 3 | Equinix | 100.11 Bn | 88.01 Bn | 1.31 Bn |
| 4 | Cloudflare | 96.02 Bn | 78.46 Bn | 557.23 Mn |
| 5 | Nebius | 31.44 Bn | 4.87 Bn | 448.70 Mn |
| 6 | Verisign | 27.82 Bn | 25.17 Bn | 393.20 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 |
| 10 | Akamai Technologies | 12.01 Bn | 5.41 Bn | 613.75 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 26.48 Bn |
| Jun 30, 2026 | 26.74 Bn |
| Mar 31, 2026 | 24.55 Bn |
| Dec 31, 2025 | 24.31 Bn |
| Sep 30, 2025 | 22.74 Bn |
| Jun 30, 2025 | 25.02 Bn |
| Mar 31, 2025 | 22.94 Bn |
| Dec 31, 2024 | 20.29 Bn |
| Sep 30, 2024 | 19.11 Bn |
| Jun 30, 2024 | 19.19 Bn |
| Mar 31, 2024 | 18.02 Bn |
| Dec 31, 2023 | 16.36 Bn |
| Sep 30, 2023 | 14.48 Bn |
| Jun 30, 2023 | 14.75 Bn |
| Mar 31, 2023 | 12.66 Bn |
| Dec 31, 2022 | 12.80 Bn |
| Sep 30, 2022 | 12.06 Bn |
| Jun 30, 2022 | 13.07 Bn |
| Mar 31, 2022 | 11.87 Bn |
| Dec 31, 2021 | 11.68 Bn |
API Access
Microsoft Other Accumulated 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=other-accumulated-expenses&ticker=MSFT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-accumulated-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=other-accumulated-expenses&ticker=MSFT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();