Fidelity National Information Services (FIS) Other Accumulated Expenses (2011 - 2017)
Fidelity National Information Services (FIS) posted Other Accumulated Expenses of $3.92 billion for Q4 2017.
Powered by 
Analysis
Fidelity National Information Services (FIS) Other Accumulated Expenses (2011 - 2017) Analysis & Trends
Since Q4 2011, Fidelity National Information Services has reported Other Accumulated Expenses for 7 quarters.
- Annual Other Accumulated Expenses shows a five-year compound annual growth rate of 25.6% (FY2012 to FY2017).
- In prior years, Fidelity National Information Services' Other Accumulated Expenses was $1.67 billion in FY2013 (+33.1%).
- The Q4 2017 figure stands as the lowest quarterly Other Accumulated Expenses since Q4 2013.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Palantir Technologies | 404.71 Bn | 369.66 Bn | 1.93 Bn |
| 2 | Oracle | 379.12 Bn | 251.67 Bn | 18.57 Bn |
| 3 | Sap Se | 288.51 Bn | 216.50 Bn | 8.64 Bn |
| 4 | Salesforce | 179.30 Bn | 135.17 Bn | 8.70 Bn |
| 5 | Automatic Data Processing | 122.61 Bn | 109.40 Bn | 2.53 Bn |
| 6 | ServiceNow | 106.15 Bn | 85.41 Bn | 2.90 Bn |
| 7 | Intuit | 91.71 Bn | 71.06 Bn | 3.44 Bn |
| 8 | Relx | 73.69 Bn | 73.69 Bn | - |
| 9 | Thomson Reuters | 48.63 Bn | 44.60 Bn | - |
| 10 | Fidelity National Information Services | 15.22 Bn | 12.39 Bn | 1.28 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2017 | 3.92 Bn |
| Dec 31, 2013 | 1.67 Bn |
| Jun 30, 2013 | 121.10 Mn |
| Dec 31, 2012 | 1.26 Bn |
| Sep 30, 2012 | 543.70 Mn |
| Mar 31, 2012 | 532.80 Mn |
| Dec 31, 2011 | 1.36 Bn |
API Access
Fidelity National Information Services 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=FIS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-accumulated-expenses", "ticker": "FIS", "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=FIS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();