Popular (BPOP) Financial Services Fees (2009 - 2018)
Popular's Financial Services Fees came in at $64.32 million for Q3 2018, up 20.3% from $53.48 million a year earlier and up 2.3% from the prior quarter.
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Analysis
Popular (BPOP) Financial Services Fees (2009 - 2018) Analysis & Trends
Over the trailing twelve months to Sep 30, 2018, Popular reported Financial Services Fees of $236.24 million, up 0.9% year-over-year; for FY2017, it came in at $217.27 million, down 7.5% from FY2016.
- Financial Services Fees carries a five-year compound annual growth rate of -1.8% (FY2012 to FY2017).
- Going back by year, Financial Services Fees was $234.77 million in FY2016 (-0.6%), $236.09 million in FY2015 (+4.8%), $225.27 million in FY2014 (-4.2%) and $235.13 million in FY2013 (-1.2%).
- The Q3 2018 figure represents the highest quarterly Financial Services Fees since Q4 2016.
- Year-over-year, Financial Services Fees has increased for three consecutive quarters, with growth averaging 1.0% over the last eight quarters.
- The fastest year-over-year change in Financial Services Fees over five years came in Q3 2018 (growth of 20.3%), and the weakest in Q4 2017 (a decline of 25.8%).
- Business Quant data shows BPOP's Financial Services Fees at $62.88 million (Q2 2018), $60.6 million (Q1 2018) and $48.44 million (Q4 2017) in the three quarters before Q3 2018.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Jpmorgan Chase | 879.54 Bn | 909.01 Bn | - |
| 2 | Banco Santander Chile | 418.48 Bn | 538.42 Bn | - |
| 3 | Bank Of America | 381.92 Bn | -1,994.15 Bn | - |
| 4 | Hsbc Holdings | 341.10 Bn | 341.15 Bn | - |
| 5 | Morgan Stanley | 295.71 Bn | -213.38 Bn | - |
| 6 | Royal Bank Of Canada | 275.38 Bn | 126.13 Bn | - |
| 7 | Mitsubishi Ufj Financial | 273.79 Bn | -1,314.70 Bn | 10.89 Bn |
| 8 | Goldman Sachs | 262.78 Bn | -3,294.34 Bn | - |
| 9 | Wells Fargo & Company | 242.61 Bn | 244.75 Bn | - |
| 10 | Popular | 9.93 Bn | 9.82 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2018 | 64.32 Mn |
| Jun 30, 2018 | 62.88 Mn |
| Mar 31, 2018 | 60.60 Mn |
| Dec 31, 2017 | 48.44 Mn |
| Sep 30, 2017 | 53.48 Mn |
| Jun 30, 2017 | 59.17 Mn |
| Mar 31, 2017 | 56.18 Mn |
| Dec 31, 2016 | 65.27 Mn |
| Sep 30, 2016 | 59.17 Mn |
| Jun 30, 2016 | 56.95 Mn |
| Mar 31, 2016 | 53.38 Mn |
| Dec 31, 2015 | 65.56 Mn |
| Sep 30, 2015 | 56.16 Mn |
| Jun 30, 2015 | 60.66 Mn |
| Mar 31, 2015 | 53.63 Mn |
| Dec 31, 2014 | 59.77 Mn |
| Sep 30, 2014 | 54.89 Mn |
| Jun 30, 2014 | 57.72 Mn |
| Mar 31, 2014 | 52.82 Mn |
| Dec 31, 2013 | 61.57 Mn |
API Access
Popular Financial Services Fees 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=financial-services-fees&ticker=BPOP&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "financial-services-fees", "ticker": "BPOP", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=financial-services-fees&ticker=BPOP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();