Microsoft (MSFT) Other Operating Expenses (2009 - 2014)
Microsoft's Other Operating Expenses was $9.05 billion in fiscal Q1 2027 (quarter ended Sep 30, 2026), up 11.1% from $8.15 billion a year earlier but down 9.5% from the prior quarter.
Powered by 
Analysis
Microsoft (MSFT) Other Operating Expenses (2009 - 2014) Analysis & Trends
On a trailing twelve-month basis, Microsoft's Other Operating Expenses was $36.46 billion through Sep 30, 2026, up 10.2% year-over-year; for FY2026 (ended Jun 30, 2026), it was $35.56 billion, up 9.5% from FY2025.
- Other Operating Expenses has now increased for 11 consecutive fiscal years, with a five-year compound annual growth rate of 11.4% (FY2021 to FY2026).
- In earlier fiscal years, Other Operating Expenses was $32.49 billion in FY2025 (+10.1%), $29.51 billion in FY2024 (+8.5%), $27.2 billion in FY2023 (+10.9%) and $24.51 billion in FY2022 (+18.3%).
- Quarterly Other Operating Expenses has moved between $5.76 billion (fiscal Q2 2022) and $10 billion (fiscal Q4 2026) over five years.
- Compared with a year earlier, Other Operating Expenses has increased for 13 straight quarters, with growth averaging 9.5% over the last eight quarters.
- The best year-over-year quarter for Other Operating Expenses over five years was fiscal Q3 2022 (growth of 21.2%); the worst was fiscal Q4 2023 (a decline of 1.6%).
- Per Business Quant data, MSFT's Other Operating Expenses in the three fiscal quarters before Q1 2027 was $10 billion (Q4 2026), $8.92 billion (Q3 2026) and $8.5 billion (Q2 2026).
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 |
|---|---|
| Mar 31, 2014 | 3.58 Bn |
| Dec 31, 2013 | 4.32 Bn |
| Sep 30, 2013 | 3.34 Bn |
| Jun 30, 2013 | 4.36 Bn |
| Mar 31, 2013 | 3.79 Bn |
| Dec 31, 2012 | 4.31 Bn |
| Sep 30, 2012 | 2.95 Bn |
| Jun 30, 2012 | 9.97 Bn |
| Mar 31, 2012 | 3.41 Bn |
| Dec 31, 2011 | 3.76 Bn |
| Sep 30, 2011 | 2.90 Bn |
| Jun 30, 2011 | -7.95 Bn |
| Mar 31, 2011 | 7.29 Bn |
| Dec 31, 2010 | 8.66 Bn |
| Sep 30, 2010 | 5.95 Bn |
| Jun 30, 2010 | 6.77 Bn |
| Mar 31, 2010 | 5.96 Bn |
| Dec 31, 2009 | 7.19 Bn |
| Sep 30, 2009 | 5.63 Bn |
| Jun 30, 2009 | 5.45 Bn |
API Access
Microsoft Other Operating 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-operating-expenses&ticker=MSFT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-operating-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-operating-expenses&ticker=MSFT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();