Microsoft (MSFT) Other Accumulated Expenses (2009 - 2026)
Microsoft's Other Accumulated Expenses came in at $26.74 billion for fiscal Q4 2026 (quarter ended Jun 30, 2026), up 6.9% from $25.02 billion a year earlier and up 8.9% from the prior quarter.
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Analysis
Microsoft (MSFT) Other Accumulated Expenses (2009 - 2026) Analysis & Trends
Going back to fiscal Q4 2009, Microsoft's Other Accumulated Expenses data covers 69 quarters.
- 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 fiscal Q4 2026 figure represents the highest quarterly Other Accumulated Expenses in data going back to fiscal Q4 2009.
- Year-over-year, Other Accumulated Expenses has increased for 40 consecutive quarters, with growth averaging 20.8% 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 $24.55 billion (Q3 2026), $24.31 billion (Q2 2026) and $22.74 billion (Q1 2026) in the three fiscal quarters before Q4 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Microsoft | 3,932.24 Bn | 3,855.40 Bn | 60.48 Bn |
| 2 | International Business Machines | 219.04 Bn | 169.85 Bn | 9.91 Bn |
| 3 | Cloudflare | 104.70 Bn | 88.23 Bn | 499.52 Mn |
| 4 | Equinix | 97.19 Bn | 85.75 Bn | 1.40 Bn |
| 5 | Nebius | 40.23 Bn | 13.66 Bn | 448.70 Mn |
| 6 | CoreWeave | 33.76 Bn | 20.85 Bn | 1.70 Bn |
| 7 | Verisign | 27.46 Bn | 24.67 Bn | 384.60 Mn |
| 8 | Nutanix | 17.98 Bn | 9.67 Bn | 651.35 Mn |
| 9 | GoDaddy | 13.83 Bn | 9.41 Bn | 828.20 Mn |
| 10 | Akamai Technologies | 12.69 Bn | 6.10 Bn | 613.75 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| 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 |
| Sep 30, 2021 | 10.82 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();