First Bancorp, Inc /ME/ (FNLC) Change in Net Loans (2010 - 2020)
First Bancorp's Change in Net Loans was -$14.41 million in Q3 2020, compared with $14.28 million a year earlier.
First Bancorp, Inc /ME/ (FNLC) Change in Net Loans (2010 - 2020) Analysis & Trends
On a trailing twelve-month basis, First Bancorp's Change in Net Loans was $175.33 million through Sep 30, 2020, up 722.9% year-over-year; for FY2019, it was $59.64 million, down 21.3% from FY2018.
- Change in Net Loans shows a five-year compound annual growth rate of 5.4% (FY2014 to FY2019).
- In earlier years, Change in Net Loans was $75.75 million in FY2018 (-20.4%), $95.2 million in FY2017 (+12.2%), $84.85 million in FY2016 (+14.1%) and $74.38 million in FY2015 (+62.4%).
- The Q3 2020 figure marks the lowest quarterly Change in Net Loans since Q2 2019.
- The best year-over-year quarter for Change in Net Loans over five years was Q4 2015 (growth of 127.6%); the worst was Q1 2016 (a decline of 26.5%).
- Per Business Quant data, FNLC's Change in Net Loans in the three quarters before Q3 2020 was $108.27 million (Q2 2020), $47.35 million (Q1 2020) and $34.12 million (Q4 2019).
Peer Comparison
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2020 | -14.41 Mn |
| Jun 30, 2020 | 108.27 Mn |
| Mar 31, 2020 | 47.35 Mn |
| Dec 31, 2019 | 34.12 Mn |
| Sep 30, 2019 | 14.28 Mn |
| Jun 30, 2019 | -15.24 Mn |
| Mar 31, 2019 | 26.47 Mn |
| Dec 31, 2018 | -4.21 Mn |
| Sep 30, 2018 | 19.18 Mn |
| Jun 30, 2018 | 36.42 Mn |
| Mar 31, 2018 | 24.36 Mn |
| Dec 31, 2017 | 44.54 Mn |
| Sep 30, 2017 | 780,000.00 |
| Jun 30, 2017 | 31.21 Mn |
| Mar 31, 2017 | 18.67 Mn |
| Dec 31, 2016 | 43.17 Mn |
| Sep 30, 2016 | -8.85 Mn |
| Jun 30, 2016 | 33.90 Mn |
| Mar 31, 2016 | 16.63 Mn |
| Dec 31, 2015 | 26.07 Mn |
First Bancorp, Inc /ME/ 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=FNLC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-net-loans", "ticker": "FNLC", "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=FNLC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();