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.
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 Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Microsoft | 3,833.59 Bn | 3,756.75 Bn | 60.48 Bn |
| 2 | International Business Machines | 212.47 Bn | 163.37 Bn | 9.91 Bn |
| 3 | Cloudflare | 112.40 Bn | 95.93 Bn | 499.52 Mn |
| 4 | Equinix | 99.47 Bn | 88.02 Bn | 1.40 Bn |
| 5 | Nebius | 60.05 Bn | 33.48 Bn | 448.70 Mn |
| 6 | CoreWeave | 48.26 Bn | 35.35 Bn | 1.70 Bn |
| 7 | Verisign | 25.97 Bn | 23.18 Bn | 384.60 Mn |
| 8 | Nutanix | 18.41 Bn | 10.09 Bn | 651.35 Mn |
| 9 | Akamai Technologies | 16.36 Bn | 9.77 Bn | 613.75 Mn |
| 10 | DigitalOcean Holdings | 14.67 Bn | 12.67 Bn | 154.66 Mn |
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 |
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_KEY
import 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();