Microsoft (MSFT) Other Accumulated Expenses (2009 - 2026)
Microsoft's (MSFT) quarterly Other Accumulated Expenses came in at $26.7 billion in Q2 2026, up 6.87% year-over-year from $25.0 billion in Q2 2025, and up 8.9% quarter-over-quarter from $24.6 billion in Q1 2026.
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Microsoft (MSFT) Other Accumulated Expenses (2009 - 2026) Analysis & Trends
Microsoft has disclosed Other Accumulated Expenses across 18 years of filings, most recently posting $26.7 billion for Q2 2026.
- In Q2 2026, Other Accumulated Expenses rose 6.87% year-over-year to $26.7 billion; the TTM figure through Jun 2026 stood at $26.7 billion (up 6.87% YoY), while the FY2026 annual figure was $26.7 billion, up 6.87% from the prior year.
- Other Accumulated Expenses came in at $26.7 billion for Q2 2026 at Microsoft, up from $24.6 billion in the prior quarter.
- In the past five years, Other Accumulated Expenses ranged from a high of $26.7 billion in Q2 2026 to a low of $11.9 billion in Q1 2022.
- Average Other Accumulated Expenses over 5 years is $18.4 billion, with a median of $18.6 billion recorded in 2024.
- Year-over-year, Other Accumulated Expenses climbed 6.73% in 2023 and jumped 42.32% in 2024.
- Over 5 years, Other Accumulated Expenses stood at $12.8 billion in 2022, then rose by 27.81% to $16.4 billion in 2023, then climbed by 23.98% to $20.3 billion in 2024, then grew by 19.84% to $24.3 billion in 2025, then gained by 9.98% to $26.7 billion in 2026.
- Per Business Quant data, the three most recent Other Accumulated Expenses figures were $26.7 billion in Q2 2026, $24.6 billion in Q1 2026, and $24.3 billion in Q4 2025.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Microsoft | 3,717.88 Bn | 3,585.13 Bn | 60.48 Bn |
| 2 | International Business Machines | 219.37 Bn | 208.10 Bn | 9.91 Bn |
| 3 | Cloudflare | 113.46 Bn | 109.29 Bn | 499.52 Mn |
| 4 | Equinix | 102.39 Bn | 100.19 Bn | 1.40 Bn |
| 5 | Nebius | 57.34 Bn | 49.30 Bn | 448.70 Mn |
| 6 | CoreWeave | 47.88 Bn | 42.34 Bn | 1.70 Bn |
| 7 | Verisign | 26.51 Bn | 25.48 Bn | 384.60 Mn |
| 8 | Nutanix | 18.85 Bn | 16.49 Bn | 651.35 Mn |
| 9 | Akamai Technologies | 17.01 Bn | 13.65 Bn | 613.75 Mn |
| 10 | DigitalOcean Holdings | 14.83 Bn | 14.06 Bn | 154.66 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();