First Bancorp, Inc /ME/ (FNLC) Securities - Available for Sale (2009 - 2026)
Analysis
First Bancorp, Inc /ME/ (FNLC) Securities - Available for Sale (2009 - 2026) Analysis & Trends
Peer Set
Peer Comparison
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 276.03 Mn |
| Mar 31, 2026 | 256.79 Mn |
| Dec 31, 2025 | 264.48 Mn |
| Sep 30, 2025 | 273.49 Mn |
| Jun 30, 2025 | 278.25 Mn |
| Mar 31, 2025 | 280.76 Mn |
| Dec 31, 2024 | 274.68 Mn |
| Sep 30, 2024 | 285.02 Mn |
| Jun 30, 2024 | 273.50 Mn |
| Mar 31, 2024 | 274.45 Mn |
| Dec 31, 2023 | 282.05 Mn |
| Sep 30, 2023 | 284.97 Mn |
| Jun 30, 2023 | 278.36 Mn |
| Mar 31, 2023 | 288.24 Mn |
| Dec 31, 2022 | 284.51 Mn |
| Sep 30, 2022 | 283.27 Mn |
| Jun 30, 2022 | 301.74 Mn |
| Mar 31, 2022 | 313.02 Mn |
| Dec 31, 2021 | 320.57 Mn |
| Sep 30, 2021 | 309.22 Mn |
API Access
First Bancorp, Inc /ME/ Securities - Available for Sale 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=securities-available-for-sale&ticker=FNLC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "securities-available-for-sale", "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=securities-available-for-sale&ticker=FNLC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();