Bancfirst Corp /Ok/ (BANF) Weighted Average Shares Outstanding (2010 - 2026)
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Analysis
Bancfirst Corp /Ok/ (BANF) Weighted Average Shares Outstanding (2010 - 2026) Analysis & Trends
Peer Set
Peer Comparison
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 33.59 Mn |
| Mar 31, 2026 | 33.56 Mn |
| Dec 31, 2025 | 33.31 Mn |
| Sep 30, 2025 | 33.31 Mn |
| Jun 30, 2025 | 33.26 Mn |
| Mar 31, 2025 | 33.23 Mn |
| Dec 31, 2024 | 33.06 Mn |
| Sep 30, 2024 | 33.10 Mn |
| Jun 30, 2024 | 33.00 Mn |
| Mar 31, 2024 | 32.95 Mn |
| Dec 31, 2023 | 32.92 Mn |
| Sep 30, 2023 | 32.94 Mn |
| Jun 30, 2023 | 32.92 Mn |
| Mar 31, 2023 | 32.89 Mn |
| Dec 31, 2022 | 32.78 Mn |
| Sep 30, 2022 | 32.83 Mn |
| Jun 30, 2022 | 32.75 Mn |
| Mar 31, 2022 | 32.67 Mn |
| Dec 31, 2021 | 32.72 Mn |
| Sep 30, 2021 | 32.74 Mn |
API Access
Bancfirst Corp /Ok/ Weighted Average Shares Outstanding 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=weighted-average-shares-outstanding&ticker=BANF&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "weighted-average-shares-outstanding", "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=weighted-average-shares-outstanding&ticker=BANF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();