Regions Financial (RF) Card Income (2013 - 2018)
Regions Financial (RF) posted Card Income of $104 million for Q1 2018, unchanged from $104 million a year earlier and down 1.9% from the prior quarter.
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Analysis
Regions Financial (RF) Card Income (2013 - 2018) Analysis & Trends
For the trailing twelve months through Mar 31, 2018, Card Income at Regions Financial was $417 million, up 1.5% year-over-year; for FY2017, it was $417 million, up 3.7% from FY2016.
- Annual Card Income has increased for five consecutive years, with a five-year compound annual growth rate of 5.8% (FY2012 to FY2017).
- In prior years, Regions Financial's Card Income was $402 million in FY2016 (+10.4%), $364 million in FY2015 (+9.0%), $334 million in FY2014 (+4.7%) and $319 million in FY2013 (+1.6%).
- Quarterly Card Income has run from a low of $79 million in Q1 2014 to a high of $106 million in Q4 2017 over five years.
- On a year-over-year basis, Card Income increased in six of the last eight quarters, with growth averaging 5.7%.
- The strongest year-over-year quarter for Card Income in the past five years was Q3 2016, with growth of 12.9%; the weakest was Q3 2017, with a decline of 1.9%.
- According to Business Quant data, Card Income for the three prior quarters was $106 million (Q4 2017), $103 million (Q3 2017) and $104 million (Q2 2017).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Jpmorgan Chase | 875.87 Bn | 905.35 Bn | - |
| 2 | Banco Santander Chile | 397.50 Bn | 517.44 Bn | - |
| 3 | Bank Of America | 375.67 Bn | -2,000.39 Bn | - |
| 4 | Hsbc Holdings | 321.90 Bn | 321.95 Bn | - |
| 5 | Morgan Stanley | 298.16 Bn | -210.93 Bn | - |
| 6 | Mitsubishi Ufj Financial | 268.92 Bn | -1,319.57 Bn | 10.89 Bn |
| 7 | Royal Bank Of Canada | 267.86 Bn | 118.60 Bn | - |
| 8 | Goldman Sachs | 258.52 Bn | -3,298.59 Bn | - |
| 9 | Wells Fargo & Company | 243.07 Bn | 245.20 Bn | - |
| 10 | Regions Financial | 22.74 Bn | 22.81 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2018 | 104.00 Mn |
| Dec 31, 2017 | 106.00 Mn |
| Sep 30, 2017 | 103.00 Mn |
| Jun 30, 2017 | 104.00 Mn |
| Mar 31, 2017 | 104.00 Mn |
| Dec 31, 2016 | 103.00 Mn |
| Sep 30, 2016 | 105.00 Mn |
| Jun 30, 2016 | 99.00 Mn |
| Mar 31, 2016 | 95.00 Mn |
| Dec 31, 2015 | 96.00 Mn |
| Sep 30, 2015 | 93.00 Mn |
| Jun 30, 2015 | 90.00 Mn |
| Mar 31, 2015 | 85.00 Mn |
| Dec 31, 2014 | 86.00 Mn |
| Sep 30, 2014 | 85.00 Mn |
| Jun 30, 2014 | 84.00 Mn |
| Mar 31, 2014 | 79.00 Mn |
| Dec 31, 2013 | 80.00 Mn |
| Sep 30, 2013 | 82.00 Mn |
| Jun 30, 2013 | 81.00 Mn |
API Access
Regions Financial Card Income 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=card-income&ticker=RF&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "card-income", "ticker": "RF", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=card-income&ticker=RF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();