First Bancorp, Inc /ME/ (FNLC) Net Interest Income After Provisions (2010 - 2026)
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Analysis
First Bancorp, Inc /ME/ (FNLC) Net Interest Income After Provisions (2010 - 2026) Analysis & Trends
Peer Set
Peer Comparison
Historic Data
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Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 20.23 Mn |
| Mar 31, 2026 | 20.07 Mn |
| Dec 31, 2025 | 20.84 Mn |
| Sep 30, 2025 | 19.36 Mn |
| Jun 30, 2025 | 17.92 Mn |
| Mar 31, 2025 | 17.41 Mn |
| Dec 31, 2024 | 16.39 Mn |
| Sep 30, 2024 | 17.04 Mn |
| Jun 30, 2024 | 14.56 Mn |
| Mar 31, 2024 | 15.39 Mn |
| Dec 31, 2023 | 15.17 Mn |
| Sep 30, 2023 | 16.15 Mn |
| Jun 30, 2023 | 15.77 Mn |
| Mar 31, 2023 | 16.93 Mn |
| Dec 31, 2022 | 19.03 Mn |
| Sep 30, 2022 | 18.96 Mn |
| Jun 30, 2022 | 18.25 Mn |
| Mar 31, 2022 | 18.17 Mn |
| Dec 31, 2021 | 19.65 Mn |
| Sep 30, 2021 | 16.49 Mn |
API Access
First Bancorp, Inc /ME/ Net Interest Income After Provisions 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=net-interest-income-after-provisions&ticker=FNLC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "net-interest-income-after-provisions", "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=net-interest-income-after-provisions&ticker=FNLC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();