Fnb (FNB) Change in Net Loans (2009 - 2020)
Fnb (FNB) posted Change in Net Loans of $500 million for Q1 2020, up 7.1% from $467 million a year earlier and up 120.3% from the prior quarter.
Fnb (FNB) Change in Net Loans (2009 - 2020) Analysis & Trends
For the trailing twelve months through Mar 31, 2020, Change in Net Loans at Fnb was $1.46 billion, down 7.4% year-over-year; for FY2019, it was $1.43 billion, up 2.4% from FY2018.
- Annual Change in Net Loans has increased for three consecutive years, with a five-year compound annual growth rate of 3.7% (FY2014 to FY2019).
- In prior years, Fnb's Change in Net Loans was $1.39 billion in FY2018 (+26.7%), $1.1 billion in FY2017 (+34.8%), $816 million in FY2016 (-17.2%) and $986 million in FY2015 (-17.3%).
- The Q1 2020 figure stands as the highest quarterly Change in Net Loans in data going back to Q3 2009.
- On a year-over-year basis, Change in Net Loans increased in six of the last eight quarters, with growth averaging 15.2%.
- The strongest year-over-year quarter for Change in Net Loans in the past five years was Q1 2019, with growth of 64.4%; the weakest was Q4 2019, with a decline of 33.0%.
- According to Business Quant data, Change in Net Loans for the three prior quarters was $227 million (Q4 2019), $418 million (Q3 2019) and $315 million (Q2 2019).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change in Net Loans (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 909.02 Bn | 886.77 Bn | - | 56.27 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 | - | 8.09 Bn |
| 6 | Royal Bank Of Canada | 283.56 Bn | -546.44 Bn | - | - |
| 7 | Goldman Sachs | 262.71 Bn | -3,480.74 Bn | - | 14.56 Bn |
| 8 | Wells Fargo & Company | 257.44 Bn | 92.87 Bn | - | 20.45 Bn |
| 9 | Mitsubishi Ufj Financial | 256.82 Bn | -75.42 Bn | 10.89 Bn | - |
| 10 | Fnb | 6.40 Bn | -3.66 Bn | - | - |
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2020 | 500.00 Mn |
| Dec 31, 2019 | 227.00 Mn |
| Sep 30, 2019 | 418.00 Mn |
| Jun 30, 2019 | 315.00 Mn |
| Mar 31, 2019 | 467.00 Mn |
| Dec 31, 2018 | 339.00 Mn |
| Sep 30, 2018 | 335.00 Mn |
| Jun 30, 2018 | 436.00 Mn |
| Mar 31, 2018 | 284.00 Mn |
| Dec 31, 2017 | 213.06 Mn |
| Sep 30, 2017 | 304.71 Mn |
| Jun 30, 2017 | 373.28 Mn |
| Mar 31, 2017 | 208.96 Mn |
| Dec 31, 2016 | 149.59 Mn |
| Sep 30, 2016 | 227.97 Mn |
| Jun 30, 2016 | 561.43 Mn |
| Mar 31, 2016 | -122.98 Mn |
| Dec 31, 2015 | 1.64 Bn |
| Sep 30, 2015 | -255.37 Mn |
| Jun 30, 2015 | -234.53 Mn |
Fnb 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=FNB&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-net-loans", "ticker": "FNB", "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=FNB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();