First Bancorp, Inc /ME/ (FNLC) Long-Term Debt (2009 - 2026)
Analysis
First Bancorp, Inc /ME/ (FNLC) Long-Term Debt (2009 - 2026) Analysis & Trends
Peer Set
Peer Comparison
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 35.50 Mn |
| Mar 31, 2026 | 95.50 Mn |
| Dec 31, 2025 | 95.50 Mn |
| Sep 30, 2025 | 95.50 Mn |
| Jun 30, 2025 | 95.00 Mn |
| Mar 31, 2025 | 70.00 Mn |
| Dec 31, 2024 | 95.00 Mn |
| Sep 30, 2024 | 95.00 Mn |
| Jun 30, 2024 | 70.00 Mn |
| Mar 31, 2024 | 70.00 Mn |
| Jun 30, 2023 | 25.08 Mn |
| Mar 31, 2023 | 81,000.00 |
| Dec 31, 2022 | 84,000.00 |
| Sep 30, 2022 | 85,000.00 |
| Jun 30, 2022 | 87,000.00 |
| Mar 31, 2022 | 55.09 Mn |
| Dec 31, 2021 | 55.09 Mn |
| Sep 30, 2021 | 55.09 Mn |
| Jun 30, 2021 | 55.09 Mn |
| Mar 31, 2021 | 55.10 Mn |
API Access
First Bancorp, Inc /ME/ Long-Term Debt 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=long-term-debt&ticker=FNLC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt", "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=long-term-debt&ticker=FNLC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();