First Bancorp /Nc/ (FBNC) Long-Term Debt (2020 - 2026)
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Analysis
First Bancorp /Nc/ (FBNC) Long-Term Debt (2020 - 2026) Analysis & Trends
Peer Set
Peer Comparison
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 74.72 Mn |
| Mar 31, 2026 | 74.64 Mn |
| Dec 31, 2025 | 74.57 Mn |
| Sep 30, 2025 | 92.42 Mn |
| Jun 30, 2025 | 92.24 Mn |
| Mar 31, 2025 | 92.06 Mn |
| Dec 31, 2024 | 91.88 Mn |
| Sep 30, 2024 | 91.69 Mn |
| Jun 30, 2024 | 91.51 Mn |
| Mar 31, 2024 | 332.34 Mn |
| Dec 31, 2023 | 630.16 Mn |
| Sep 30, 2023 | 401.84 Mn |
| Jun 30, 2023 | 481.66 Mn |
| Mar 31, 2023 | 606.48 Mn |
| Dec 31, 2022 | 287.51 Mn |
| Sep 30, 2022 | 226.48 Mn |
| Jun 30, 2022 | 67.45 Mn |
| Mar 31, 2022 | 67.42 Mn |
| Dec 31, 2021 | 67.39 Mn |
| Dec 31, 2020 | 61.83 Mn |
API Access
First Bancorp /Nc/ 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=FBNC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt", "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=long-term-debt&ticker=FBNC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();