Fidelity National Information Services (FIS) Accumulated Expenses (2011 - 2017)
Fidelity National Information Services (FIS) posted Accumulated Expenses of $1.24 billion for Q4 2017.
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Analysis
Fidelity National Information Services (FIS) Accumulated Expenses (2011 - 2017) Analysis & Trends
Since Q4 2011, Fidelity National Information Services has reported Accumulated Expenses for 6 quarters.
- Annual Accumulated Expenses shows a five-year compound annual growth rate of 14.7% (FY2012 to FY2017).
- In prior years, Fidelity National Information Services' Accumulated Expenses was $768 million in FY2013 (+23.0%).
- The Q4 2017 figure stands as the lowest quarterly 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 | 1.24 Bn |
| Dec 31, 2013 | 768.00 Mn |
| Dec 31, 2012 | 624.60 Mn |
| Sep 30, 2012 | 248.10 Mn |
| Mar 31, 2012 | 256.60 Mn |
| Dec 31, 2011 | 642.90 Mn |
API Access
Fidelity National Information Services 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=accumulated-expenses&ticker=FIS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "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=accumulated-expenses&ticker=FIS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();