First Bancorp /Nc/ (FBNC) Interest Paid (2010 - 2026)
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Analysis
First Bancorp /Nc/ (FBNC) Interest Paid (2010 - 2026) Analysis & Trends
Peer Set
Peer Comparison
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 36.82 Mn |
| Mar 31, 2026 | 35.14 Mn |
| Dec 31, 2025 | 37.97 Mn |
| Sep 30, 2025 | 41.45 Mn |
| Jun 30, 2025 | 40.47 Mn |
| Mar 31, 2025 | 39.26 Mn |
| Dec 31, 2024 | 44.28 Mn |
| Sep 30, 2024 | 48.27 Mn |
| Jun 30, 2024 | 51.52 Mn |
| Mar 31, 2024 | 42.83 Mn |
| Dec 31, 2023 | 43.32 Mn |
| Sep 30, 2023 | 37.69 Mn |
| Jun 30, 2023 | 35.36 Mn |
| Mar 31, 2023 | 19.33 Mn |
| Dec 31, 2022 | 6.89 Mn |
| Sep 30, 2022 | 2.78 Mn |
| Jun 30, 2022 | 2.22 Mn |
| Mar 31, 2022 | 2.42 Mn |
| Dec 31, 2021 | 2.76 Mn |
| Sep 30, 2021 | 2.10 Mn |
API Access
First Bancorp /Nc/ Interest Paid 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=interest-paid&ticker=FBNC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "interest-paid", "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=interest-paid&ticker=FBNC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();