Microsoft (MSFT) Other Operating Expenses (2009 - 2014)
Microsoft's Other Operating Expenses came in at $3.58 billion for fiscal Q3 2014 (quarter ended Mar 31, 2014), down 5.7% from $3.79 billion a year earlier and down 17.2% from the prior quarter.
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Analysis
Microsoft (MSFT) Other Operating Expenses (2009 - 2014) Analysis & Trends
For FY2013 (ended Jun 30, 2013), Microsoft's Other Operating Expenses was $15.41 billion, down 23.1% from FY2012.
- Other Operating Expenses carries a four-year compound annual growth rate of -11.1% (FY2009 to FY2013).
- Going back by fiscal year, Other Operating Expenses was $20.05 billion in FY2012 (+43.8%), $13.94 billion in FY2011 (-45.4%), $25.55 billion in FY2010 (+3.4%) and $24.7 billion in FY2009.
- The five-year range for quarterly Other Operating Expenses is -$7.95 billion (fiscal Q4 2011) to $9.97 billion (fiscal Q4 2012).
- Year-over-year, Other Operating Expenses increased in five of the last seven quarters, with an average decline of 3.0%.
- The fastest year-over-year change in Other Operating Expenses over five years came in fiscal Q4 2010 (growth of 24.3%), and the weakest in fiscal Q2 2012 (a decline of 56.5%).
- Business Quant data shows MSFT's Other Operating Expenses at $4.32 billion (Q2 2014), $3.34 billion (Q1 2014) and $4.36 billion (Q4 2013) in the three fiscal quarters before Q3 2014.
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 |
|---|---|
| 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();