First Bancorp, Inc /ME/ (FNLC) Short-Term Borrowings (2009 - 2026)
Analysis
First Bancorp, Inc /ME/ (FNLC) Short-Term Borrowings (2009 - 2026) Analysis & Trends
Peer Set
Peer Comparison
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 178.57 Mn |
| Mar 31, 2026 | 100.30 Mn |
| Dec 31, 2025 | 92.32 Mn |
| Sep 30, 2025 | 57.47 Mn |
| Jun 30, 2025 | 101.17 Mn |
| Mar 31, 2025 | 115.44 Mn |
| Dec 31, 2024 | 51.28 Mn |
| Sep 30, 2024 | 56.03 Mn |
| Jun 30, 2024 | 160.62 Mn |
| Mar 31, 2024 | 84.78 Mn |
| Dec 31, 2023 | 69.65 Mn |
| Sep 30, 2023 | 82.99 Mn |
| Jun 30, 2023 | 89.40 Mn |
| Mar 31, 2023 | 83.80 Mn |
| Dec 31, 2022 | 103.40 Mn |
| Sep 30, 2022 | 118.26 Mn |
| Jun 30, 2022 | 126.50 Mn |
| Mar 31, 2022 | 78.62 Mn |
| Dec 31, 2021 | 81.25 Mn |
| Sep 30, 2021 | 178.11 Mn |
API Access
First Bancorp, Inc /ME/ Short-Term Borrowings 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=short-term-borrowings&ticker=FNLC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "short-term-borrowings", "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=short-term-borrowings&ticker=FNLC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();