Bancfirst Corp /Ok/ (BANF) Interest Paid (2010 - 2026)
Analysis
Bancfirst Corp /Ok/ (BANF) Interest Paid (2010 - 2026) Analysis & Trends
Peer Set
Peer Comparison
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 62.30 Mn |
| Mar 31, 2026 | 63.25 Mn |
| Dec 31, 2025 | 66.36 Mn |
| Sep 30, 2025 | 68.94 Mn |
| Jun 30, 2025 | 67.18 Mn |
| Mar 31, 2025 | 66.85 Mn |
| Dec 31, 2024 | 70.50 Mn |
| Sep 30, 2024 | 71.52 Mn |
| Jun 30, 2024 | 66.63 Mn |
| Mar 31, 2024 | 62.16 Mn |
| Dec 31, 2023 | 59.90 Mn |
| Sep 30, 2023 | 53.69 Mn |
| Jun 30, 2023 | 44.15 Mn |
| Mar 31, 2023 | 34.03 Mn |
| Dec 31, 2022 | 22.78 Mn |
| Sep 30, 2022 | 12.70 Mn |
| Jun 30, 2022 | 4.95 Mn |
| Mar 31, 2022 | 2.50 Mn |
| Dec 31, 2021 | 3.64 Mn |
| Sep 30, 2021 | 2.62 Mn |
API Access
Bancfirst Corp /Ok/ 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=BANF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "interest-paid", "ticker": "BANF", "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=BANF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();