Ofg Bancorp (OFG) Change in Net Loans (2010 - 2019)
Ofg Bancorp (OFG) reported Change in Net Loans of $306.57 million for Q2 2019, down 24.8% from $407.46 million a year earlier but up 18.8% from the prior quarter.
Ofg Bancorp (OFG) Change in Net Loans (2010 - 2019) Analysis & Trends
Over the twelve months ended Jun 30, 2019, Ofg Bancorp's Change in Net Loans came in at $1.19 billion, up 6.8% year-over-year; for FY2018, it was $1.32 billion, up 64.1% from FY2017.
- Change in Net Loans has a five-year compound annual growth rate of 2.3% (FY2013 to FY2018).
- By year, Change in Net Loans came in at $801.77 million in FY2017 (+4.3%), $768.35 million in FY2016 (-4.3%), $802.57 million in FY2015 (+8.6%) and $739.02 million in FY2014 (-37.2%).
- Five-year quarterly Change in Net Loans spans a low of $162.41 million in Q3 2017 and a high of $407.46 million in Q2 2018.
- Year over year, Change in Net Loans gained in five of the last eight quarters, with growth averaging 31.2%.
- The high point for year-over-year Change in Net Loans in five years was Q3 2018 (growth of 98.5%); the low point was Q3 2014 (a decline of 59.5%).
- Per Business Quant data, the three quarters before Q2 2019 came in at $258.08 million (Q1 2019), $299.95 million (Q4 2018) and $322.37 million (Q3 2018).
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 | Ofg Bancorp | 2.12 Bn | -1.05 Bn | - | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2019 | 306.57 Mn |
| Mar 31, 2019 | 258.08 Mn |
| Dec 31, 2018 | 299.95 Mn |
| Sep 30, 2018 | 322.37 Mn |
| Jun 30, 2018 | 407.46 Mn |
| Mar 31, 2018 | 286.13 Mn |
| Dec 31, 2017 | 255.15 Mn |
| Sep 30, 2017 | 162.41 Mn |
| Jun 30, 2017 | 213.06 Mn |
| Mar 31, 2017 | 171.15 Mn |
| Dec 31, 2016 | 212.70 Mn |
| Sep 30, 2016 | 181.73 Mn |
| Jun 30, 2016 | 187.29 Mn |
| Mar 31, 2016 | 186.64 Mn |
| Dec 31, 2015 | 190.76 Mn |
| Sep 30, 2015 | 197.09 Mn |
| Jun 30, 2015 | 229.89 Mn |
| Mar 31, 2015 | 184.83 Mn |
| Dec 31, 2014 | 193.24 Mn |
| Sep 30, 2014 | 198.09 Mn |
Ofg Bancorp 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=OFG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-net-loans", "ticker": "OFG", "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=OFG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();