Popular (BPOP) Change in Net Loans (2012 - 2019)
Popular (BPOP) reported Change in Net Loans of -$587,000 for FY2020, compared with $641.03 million in FY2019.
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Analysis
Popular (BPOP) Change in Net Loans (2012 - 2019) Analysis & Trends
Dating back to FY2010, Popular's Change in Net Loans record includes 11 years.
- The FY2020 figure ranks as the lowest annual Change in Net Loans since FY2016.
- According to Business Quant data, Change in Net Loans came in at $641.03 million in FY2019, $6.67 million in FY2018 (-98.3%), $398.68 million in FY2017 and -$267.21 million in FY2016.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change in Net Loans (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 | - | 12.69 Bn |
| 6 | Royal Bank Of Canada | 275.38 Bn | 126.13 Bn | - | -22.01 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 | - | 7.29 Bn |
| 9 | Wells Fargo & Company | 242.61 Bn | 244.75 Bn | - | -19.63 Bn |
| 10 | Popular | 9.93 Bn | 9.82 Bn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2019 | 316.55 Mn |
| Sep 30, 2019 | 412,000.00 |
| Jun 30, 2019 | 245.10 Mn |
| Mar 31, 2019 | 78.97 Mn |
| Dec 31, 2018 | -8.94 Mn |
| Sep 30, 2018 | 77.49 Mn |
| Jun 30, 2018 | 31.59 Mn |
| Mar 31, 2018 | -93.48 Mn |
| Dec 31, 2017 | 476.08 Mn |
| Sep 30, 2017 | -82.49 Mn |
| Jun 30, 2017 | -94.22 Mn |
| Mar 31, 2017 | 99.31 Mn |
| Dec 31, 2016 | -173.85 Mn |
| Sep 30, 2016 | -32.16 Mn |
| Jun 30, 2016 | -74.53 Mn |
| Mar 31, 2016 | 13.34 Mn |
| Dec 31, 2015 | 112.76 Mn |
| Sep 30, 2015 | -55.31 Mn |
| Jun 30, 2015 | 219.43 Mn |
| Mar 31, 2015 | 154.79 Mn |
API Access
Popular Change in Net Loans 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=change-in-net-loans&ticker=BPOP&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-net-loans", "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=change-in-net-loans&ticker=BPOP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();