Popular (BPOP) Prepaid Assets (2011 - 2015)
Popular's Prepaid Assets came in at $201.5 million for Q2 2015, up 8.2% from the prior quarter.
Analysis
Popular (BPOP) Prepaid Assets (2011 - 2015) Analysis & Trends
At the end of FY2014, Popular's Prepaid Assets was $198.12 million, up 116.5% from FY2013.
- Prepaid Assets has increased in each of the last three years, with a three-year compound annual growth rate of 124.8% (FY2011 to FY2014).
- Going back by year, Prepaid Assets was $91.5 million in FY2013 (+3.6%), $88.36 million in FY2012 (+406.6%) and $17.44 million in FY2011.
- The Q2 2015 figure represents the highest quarterly Prepaid Assets in data going back to Q4 2011.
- Year-over-year, Prepaid Assets increased in four of the last five quarters, with growth averaging 47.6%.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Jpmorgan Chase | 909.02 Bn | 886.77 Bn | - |
| 2 | Banco Santander Chile | 406.67 Bn | -7,110.43 Bn | - |
| 3 | Bank Of America | 350.91 Bn | -2,025.20 Bn | - |
| 4 | Hsbc Holdings | 308.71 Bn | -2,966.46 Bn | - |
| 5 | Morgan Stanley | 293.66 Bn | -249.15 Bn | - |
| 6 | Royal Bank Of Canada | 283.56 Bn | -546.44 Bn | - |
| 7 | Goldman Sachs | 262.71 Bn | -3,480.74 Bn | - |
| 8 | Wells Fargo & Company | 257.44 Bn | 92.87 Bn | - |
| 9 | Mitsubishi Ufj Financial | 256.82 Bn | -75.42 Bn | 10.89 Bn |
| 10 | Popular | 10.00 Bn | 5.18 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2015 | 201.50 Mn |
| Mar 31, 2015 | 186.17 Mn |
| Dec 31, 2014 | 198.12 Mn |
| Mar 31, 2014 | 85.67 Mn |
| Dec 31, 2013 | 91.50 Mn |
| Sep 30, 2013 | 98.97 Mn |
| Jun 30, 2013 | 107.25 Mn |
| Mar 31, 2013 | 84.74 Mn |
| Dec 31, 2012 | 88.36 Mn |
| Sep 30, 2012 | 99.50 Mn |
| Jun 30, 2012 | 107.83 Mn |
| Dec 31, 2011 | 17.44 Mn |
API Access
Popular Prepaid Assets 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=prepaid-assets&ticker=BPOP&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "prepaid-assets", "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=prepaid-assets&ticker=BPOP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();