Seacoast Banking Corp Of Florida (SBCF) Change in Net Loans (2010 - 2020)
Seacoast Banking Corp Of Florida's Change in Net Loans was -$25.15 million in Q1 2020, compared with $3.14 million a year earlier.
Seacoast Banking Corp Of Florida (SBCF) Change in Net Loans (2010 - 2020) Analysis & Trends
On a trailing twelve-month basis, Seacoast Banking Corp Of Florida's Change in Net Loans was $23.45 million through Mar 31, 2020, down 91.8% year-over-year; for FY2018, it came in at $365.82 million, up 11.2% from FY2017.
- Change in Net Loans shows a five-year compound annual growth rate of 33.0% (FY2013 to FY2018).
- In earlier years, Change in Net Loans was $328.87 million in FY2017 (-17.1%), $396.86 million in FY2016 (+76.9%), $224.39 million in FY2015 (+45.0%) and $154.77 million in FY2014 (+75.8%).
- The Q1 2020 figure marks the lowest quarterly Change in Net Loans in data going back to Q3 2010.
- Compared with a year earlier, Change in Net Loans was higher in 1 of the last six quarters, with an average decline of 16.9%.
- The best year-over-year quarter for Change in Net Loans over five years was Q2 2015 (growth of 257.9%); the worst was Q1 2019 (a decline of 96.3%).
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 | Seacoast Banking Corp Of Florida | 3.08 Bn | 1.15 Bn | - | - |
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2020 | -25.15 Mn |
| Sep 30, 2019 | 36.58 Mn |
| Jun 30, 2019 | 8.88 Mn |
| Mar 31, 2019 | 3.14 Mn |
| Dec 31, 2018 | 140.25 Mn |
| Sep 30, 2018 | 64.53 Mn |
| Jun 30, 2018 | 76.98 Mn |
| Mar 31, 2018 | 84.06 Mn |
| Dec 31, 2017 | 51.73 Mn |
| Sep 30, 2017 | 79.06 Mn |
| Jun 30, 2017 | 103.82 Mn |
| Mar 31, 2017 | 94.26 Mn |
| Dec 31, 2016 | 143.64 Mn |
| Sep 30, 2016 | 123.39 Mn |
| Jun 30, 2016 | 98.02 Mn |
| Mar 31, 2016 | 31.81 Mn |
| Dec 31, 2015 | 51.53 Mn |
| Sep 30, 2015 | 58.06 Mn |
| Jun 30, 2015 | 83.25 Mn |
| Mar 31, 2015 | 31.54 Mn |
Seacoast Banking Corp Of Florida 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=SBCF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-net-loans", "ticker": "SBCF", "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=SBCF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();