First Bancorp /Nc/ (FBNC) Purchase of AFS Securities (2011 - 2026)
Analysis
First Bancorp /Nc/ (FBNC) Purchase of AFS Securities (2011 - 2026) Analysis & Trends
Peer Set
Peer Comparison
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 25.91 Mn |
| Mar 31, 2026 | 1.28 Mn |
| Dec 31, 2025 | 231.41 Mn |
| Sep 30, 2025 | 216.69 Mn |
| Jun 30, 2025 | 126.99 Mn |
| Mar 31, 2025 | 10.00 Mn |
| Dec 31, 2024 | 494.90 Mn |
| Dec 31, 2023 | 1.17 Mn |
| Jun 30, 2022 | 24.62 Mn |
| Mar 31, 2022 | 330.15 Mn |
| Dec 31, 2021 | 443.48 Mn |
| Sep 30, 2021 | 271.81 Mn |
| Jun 30, 2021 | 381.11 Mn |
| Mar 31, 2021 | 475.96 Mn |
| Dec 31, 2020 | 358.85 Mn |
| Sep 30, 2020 | 448.95 Mn |
| Jun 30, 2020 | 242.83 Mn |
| Mar 31, 2020 | 9.42 Mn |
| Dec 31, 2019 | 159.86 Mn |
| Sep 30, 2019 | 82.42 Mn |
API Access
First Bancorp /Nc/ Purchase of AFS Securities 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=purchase-of-afs-securities&ticker=FBNC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "purchase-of-afs-securities", "ticker": "FBNC", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=purchase-of-afs-securities&ticker=FBNC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();