Bancfirst Corp /Ok/ (BANF) Short-Term Borrowings (2010 - 2026)
Analysis
Bancfirst Corp /Ok/ (BANF) Short-Term Borrowings (2010 - 2026) Analysis & Trends
Peer Set
Peer Comparison
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 6.00 Mn |
| Mar 31, 2026 | 14.99 Mn |
| Dec 31, 2025 | 10.01 Mn |
| Sep 30, 2025 | 11.68 Mn |
| Jun 30, 2025 | 5.86 Mn |
| Sep 30, 2024 | 4.43 Mn |
| Jun 30, 2024 | 4.26 Mn |
| Mar 31, 2024 | 9.70 Mn |
| Dec 31, 2023 | 3.35 Mn |
| Sep 30, 2023 | 3.98 Mn |
| Jun 30, 2023 | 3.89 Mn |
| Mar 31, 2023 | 203.49 Mn |
| Dec 31, 2022 | 300,000.00 |
| Sep 30, 2022 | 4.60 Mn |
| Jun 30, 2022 | 6.10 Mn |
| Mar 31, 2022 | 3.30 Mn |
| Sep 30, 2021 | 3.50 Mn |
| Jun 30, 2021 | 3.10 Mn |
| Mar 31, 2021 | 3.75 Mn |
| Dec 31, 2020 | 1.10 Mn |
API Access
Bancfirst Corp /Ok/ Short-Term Borrowings 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=short-term-borrowings&ticker=BANF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "short-term-borrowings", "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=short-term-borrowings&ticker=BANF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();