Bank First (BFC) Other Operating Expenses (2017 - 2026)
Bank First (BFC) posted Other Operating Expenses of $4.23 million for Q2 2026, up 61.4% from $2.62 million a year earlier but down 15.6% from the prior quarter.
Bank First (BFC) Other Operating Expenses (2017 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Other Operating Expenses at Bank First was $14.47 million, up 41.1% year-over-year; for FY2025, it was $10.26 million, up 5.8% from FY2024.
- Annual Other Operating Expenses has increased for three consecutive years, with a five-year compound annual growth rate of 12.4% (FY2020 to FY2025).
- In prior years, Bank First's Other Operating Expenses was $9.69 million in FY2024 (+12.3%), $8.63 million in FY2023 (+35.9%), $6.35 million in FY2022 (-3.0%) and $6.54 million in FY2021 (+14.6%).
- Quarterly Other Operating Expenses has run from a low of $1.35 million in Q1 2022 to a high of $5.01 million in Q1 2026 over five years.
- On a year-over-year basis, Other Operating Expenses increased in seven of the last eight quarters, with growth averaging 30.6%.
- The strongest year-over-year quarter for Other Operating Expenses in the past five years was Q1 2026, with growth of 105.0%; the weakest was Q2 2024, with a decline of 16.5%.
- According to Business Quant data, Other Operating Expenses for the three prior quarters was $5.01 million (Q1 2026), $2.69 million (Q4 2025) and $2.54 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Jpmorgan Chase | 890.60 Bn | 920.07 Bn | - |
| 2 | Banco Santander Chile | 421.74 Bn | 541.68 Bn | - |
| 3 | Bank Of America | 385.85 Bn | -1,990.22 Bn | - |
| 4 | Hsbc Holdings | 345.94 Bn | 345.99 Bn | - |
| 5 | Morgan Stanley | 303.15 Bn | -205.95 Bn | - |
| 6 | Royal Bank Of Canada | 279.82 Bn | 130.57 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 | - |
| 9 | Wells Fargo & Company | 243.79 Bn | 245.93 Bn | - |
| 10 | Bank First | 1.66 Bn | 624.57 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 4.23 Mn |
| Mar 31, 2026 | 5.01 Mn |
| Dec 31, 2025 | 2.69 Mn |
| Sep 30, 2025 | 2.54 Mn |
| Jun 30, 2025 | 2.62 Mn |
| Mar 31, 2025 | 2.44 Mn |
| Dec 31, 2024 | 2.69 Mn |
| Sep 30, 2024 | 2.50 Mn |
| Jun 30, 2024 | 2.19 Mn |
| Mar 31, 2024 | 2.39 Mn |
| Dec 31, 2023 | 1.92 Mn |
| Sep 30, 2023 | 2.17 Mn |
| Jun 30, 2023 | 2.62 Mn |
| Mar 31, 2023 | 1.91 Mn |
| Dec 31, 2022 | 2.00 Mn |
| Sep 30, 2022 | 1.62 Mn |
| Jun 30, 2022 | 1.45 Mn |
| Mar 31, 2022 | 1.35 Mn |
| Dec 31, 2021 | 2.33 Mn |
| Sep 30, 2021 | 1.67 Mn |
Bank First Other Operating Expenses 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=other-operating-expenses&ticker=BFC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-operating-expenses", "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=other-operating-expenses&ticker=BFC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();