Bank First (BFC) Change in Net Loans (2017 - 2026)
Bank First's Change in Net Loans was $4.41 million in Q2 2026, down 86.0% from $31.5 million a year earlier.
Powered by 
Analysis
Bank First (BFC) Change in Net Loans (2017 - 2026) Analysis & Trends
On a trailing twelve-month basis, Bank First's Change in Net Loans was -$46.49 million through Jun 30, 2026; for FY2025, it was $84.66 million, down 49.9% from FY2024.
- Change in Net Loans shows a five-year compound annual growth rate of -24.4% (FY2020 to FY2025).
- In earlier years, Change in Net Loans was $168.86 million in FY2024 (+351.4%), $37.41 million in FY2023 (-81.1%), $198 million in FY2022 (+374.7%) and $41.71 million in FY2021 (-87.9%).
- Quarterly Change in Net Loans has moved between -$73.64 million (Q1 2026) and $80.18 million (Q1 2022) over five years.
- Compared with a year earlier, Change in Net Loans was higher in two of the last five quarters, with an average decline of 22.4%.
- The best year-over-year quarter for Change in Net Loans over five years was Q3 2023 (growth of 217.9%); the worst was Q2 2026 (a decline of 86.0%).
- Per Business Quant data, BFC's Change in Net Loans in the three quarters before Q2 2026 was -$73.64 million (Q1 2026), -$25.91 million (Q4 2025) and $48.64 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change in Net Loans (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 879.54 Bn | 909.01 Bn | - | - |
| 2 | Banco Santander Chile | 418.48 Bn | 538.42 Bn | - | - |
| 3 | Bank Of America | 381.92 Bn | -1,994.15 Bn | - | - |
| 4 | Hsbc Holdings | 341.10 Bn | 341.15 Bn | - | - |
| 5 | Morgan Stanley | 295.71 Bn | -213.38 Bn | - | 12.69 Bn |
| 6 | Royal Bank Of Canada | 275.38 Bn | 126.13 Bn | - | -22.01 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 | - | 7.29 Bn |
| 9 | Wells Fargo & Company | 242.61 Bn | 244.75 Bn | - | -19.63 Bn |
| 10 | Bank First | 1.65 Bn | 614.16 Mn | - | 4.41 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 4.41 Mn |
| Mar 31, 2026 | -73.64 Mn |
| Dec 31, 2025 | -25.91 Mn |
| Sep 30, 2025 | 48.64 Mn |
| Jun 30, 2025 | 31.50 Mn |
| Mar 31, 2025 | 30.42 Mn |
| Dec 31, 2024 | 46.01 Mn |
| Sep 30, 2024 | 40.46 Mn |
| Jun 30, 2024 | 43.83 Mn |
| Mar 31, 2024 | 38.55 Mn |
| Dec 31, 2023 | -14.35 Mn |
| Sep 30, 2023 | 39.32 Mn |
| Jun 30, 2023 | -12.35 Mn |
| Mar 31, 2023 | 24.79 Mn |
| Dec 31, 2022 | 35.32 Mn |
| Sep 30, 2022 | 12.37 Mn |
| Jun 30, 2022 | 70.12 Mn |
| Mar 31, 2022 | 80.18 Mn |
| Dec 31, 2021 | 24.88 Mn |
| Sep 30, 2021 | -17.77 Mn |
API Access
Bank First Change in Net Loans 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=change-in-net-loans&ticker=BFC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-net-loans", "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=change-in-net-loans&ticker=BFC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();