Bancfirst (BANF) Cash from Operations (2010 - 2026)
Bancfirst (BANF) recorded Cash from Operations of $83.08 million in Q2 2026, up 6.3% from $78.12 million a year earlier and up 9.5% from the prior quarter.
Bancfirst (BANF) Cash from Operations (2010 - 2026) Analysis & Trends
On a TTM basis, Bancfirst's Cash from Operations came in at $289.13 million as of Jun 30, 2026, up 15.7% year-over-year; for FY2025, it was $285.28 million, up 9.2% from FY2024.
- Annual Cash from Operations has increased for five straight years, with a five-year compound annual growth rate of 13.0% (FY2020 to FY2025).
- Across earlier years, Cash from Operations came in at $261.2 million in FY2024 (+12.1%), $233.05 million in FY2023 (+3.0%), $226.27 million in FY2022 (+11.0%) and $203.93 million in FY2021 (+31.7%).
- The Q2 2026 figure is the highest quarterly Cash from Operations since Q2 2024.
- On a year-over-year basis, Cash from Operations rose in four of the last eight quarters, with growth averaging 22.9%.
- Peak year-over-year performance for Cash from Operations in the last five years was growth of 219.8% in Q4 2025, against a decline of 59.9% in Q4 2024 at the low end.
- Per Business Quant, the preceding three quarters came in at $75.85 million (Q1 2026), $54.78 million (Q4 2025) and $75.42 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash from Ops. (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 879.54 Bn | 909.01 Bn | - | -25.28 Bn |
| 2 | Banco Santander Chile | 418.48 Bn | 538.42 Bn | - | - |
| 3 | Bank Of America | 381.92 Bn | -1,994.15 Bn | - | 29.04 Bn |
| 4 | Hsbc Holdings | 341.10 Bn | 341.15 Bn | - | - |
| 5 | Morgan Stanley | 295.71 Bn | -213.38 Bn | - | -2.75 Bn |
| 6 | Royal Bank Of Canada | 275.38 Bn | 126.13 Bn | - | 25.17 Bn |
| 7 | Mitsubishi Ufj Financial | 273.79 Bn | -1,314.70 Bn | 10.89 Bn | - |
| 8 | Goldman Sachs | 262.78 Bn | -3,294.34 Bn | - | 6.11 Bn |
| 9 | Wells Fargo & Company | 242.61 Bn | 244.75 Bn | - | 6.78 Bn |
| 10 | Bancfirst | 3.54 Bn | 3.54 Bn | - | 83.08 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 83.08 Mn |
| Mar 31, 2026 | 75.85 Mn |
| Dec 31, 2025 | 54.78 Mn |
| Sep 30, 2025 | 75.42 Mn |
| Jun 30, 2025 | 78.12 Mn |
| Mar 31, 2025 | 76.95 Mn |
| Dec 31, 2024 | 17.13 Mn |
| Sep 30, 2024 | 77.59 Mn |
| Jun 30, 2024 | 100.15 Mn |
| Mar 31, 2024 | 66.32 Mn |
| Dec 31, 2023 | 42.76 Mn |
| Sep 30, 2023 | 61.10 Mn |
| Jun 30, 2023 | 59.68 Mn |
| Mar 31, 2023 | 69.50 Mn |
| Dec 31, 2022 | 46.98 Mn |
| Sep 30, 2022 | 59.45 Mn |
| Jun 30, 2022 | 56.23 Mn |
| Mar 31, 2022 | 63.61 Mn |
| Dec 31, 2021 | 26.62 Mn |
| Sep 30, 2021 | 39.49 Mn |
Bancfirst Cash from Operations 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=cash-from-operations&ticker=BANF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-from-operations", "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=cash-from-operations&ticker=BANF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();