Bank First (BFC) Cash from Operations (2017 - 2026)
Bank First (BFC) recorded Cash from Operations of $24.44 million in Q2 2026, up 106.2% from $11.86 million a year earlier.
Bank First (BFC) Cash from Operations (2017 - 2026) Analysis & Trends
On a TTM basis, Bank First's Cash from Operations came in at $57.25 million as of Jun 30, 2026, down 15.3% year-over-year; for FY2025, it came in at $62.48 million, down 5.1% from FY2024.
- Annual Cash from Operations has a five-year compound annual growth rate of 7.3% (FY2020 to FY2025).
- Across earlier years, Cash from Operations came in at $65.85 million in FY2024 (+24.4%), $52.95 million in FY2023 (+32.3%), $40.01 million in FY2022 (-0.7%) and $40.28 million in FY2021 (-8.4%).
- Quarterly Cash from Operations has ranged from -$11.65 million in Q1 2026 to $30.8 million in Q4 2024 over the past five years.
- On a year-over-year basis, Cash from Operations rose in four of the last seven quarters, with growth averaging 69.3%.
- Peak year-over-year performance for Cash from Operations in the last five years was growth of 364.0% in Q1 2025, against a decline of 67.7% in Q1 2024 at the low end.
- Per Business Quant, the preceding three quarters came in at -$11.65 million (Q1 2026), $29.01 million (Q4 2025) and $15.45 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash from Ops. (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 890.60 Bn | 920.07 Bn | - | -25.28 Bn |
| 2 | Banco Santander Chile | 421.74 Bn | 541.68 Bn | - | - |
| 3 | Bank Of America | 385.85 Bn | -1,990.22 Bn | - | 29.04 Bn |
| 4 | Hsbc Holdings | 345.94 Bn | 345.99 Bn | - | - |
| 5 | Morgan Stanley | 303.15 Bn | -205.95 Bn | - | -2.75 Bn |
| 6 | Royal Bank Of Canada | 279.82 Bn | 130.57 Bn | - | 25.17 Bn |
| 7 | Mitsubishi Ufj Financial | 274.62 Bn | -1,313.87 Bn | 10.89 Bn | - |
| 8 | Goldman Sachs | 267.07 Bn | -3,290.04 Bn | - | 6.11 Bn |
| 9 | Wells Fargo & Company | 243.79 Bn | 245.93 Bn | - | 6.78 Bn |
| 10 | Bank First | 1.66 Bn | 624.57 Mn | - | 24.44 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 24.44 Mn |
| Mar 31, 2026 | -11.65 Mn |
| Dec 31, 2025 | 29.01 Mn |
| Sep 30, 2025 | 15.45 Mn |
| Jun 30, 2025 | 11.86 Mn |
| Mar 31, 2025 | 6.17 Mn |
| Dec 31, 2024 | 30.80 Mn |
| Sep 30, 2024 | 18.78 Mn |
| Jun 30, 2024 | 14.93 Mn |
| Mar 31, 2024 | 1.33 Mn |
| Dec 31, 2023 | 20.30 Mn |
| Sep 30, 2023 | 17.48 Mn |
| Jun 30, 2023 | 11.05 Mn |
| Mar 31, 2023 | 4.11 Mn |
| Dec 31, 2022 | 20.01 Mn |
| Sep 30, 2022 | 9.92 Mn |
| Jun 30, 2022 | 7.59 Mn |
| Mar 31, 2022 | 2.49 Mn |
| Dec 31, 2021 | 15.62 Mn |
| Sep 30, 2021 | 13.03 Mn |
Bank First 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=BFC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-from-operations", "ticker": "BFC", "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=BFC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();