Microsoft (MSFT) Restructuring Costs (2009 - 2016)
Microsoft's Restructuring Costs came in at $306 million for FY2017 (year ended Jun 30, 2017), down 72.4% from $1.11 billion in FY2016.
Powered by 
Analysis
Microsoft (MSFT) Restructuring Costs (2009 - 2016) Analysis & Trends
Going back to FY2009, Microsoft's Restructuring Costs data covers 6 fiscal years.
- Restructuring Costs carries a three-year compound annual growth rate of 34.1% (FY2014 to FY2017).
- The FY2017 figure represents the lowest annual Restructuring Costs since FY2014.
- Per Business Quant, earlier fiscal years put Restructuring Costs at $1.11 billion in FY2016 (-88.9%), $10.01 billion in FY2015 and $127 million in FY2014.
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, 2016 | 1.11 Bn |
| Jun 30, 2015 | 8.44 Bn |
| Mar 31, 2015 | 190.00 Mn |
| Dec 31, 2014 | 243.00 Mn |
| Sep 30, 2014 | 1.14 Bn |
| Jun 30, 2014 | 127.00 Mn |
| Dec 31, 2009 | 59.00 Mn |
| Jun 30, 2009 | 40.00 Mn |
| Mar 31, 2009 | 290.00 Mn |
API Access
Microsoft Restructuring Costs 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=restructuring-costs&ticker=MSFT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "restructuring-costs", "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=restructuring-costs&ticker=MSFT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();