Bank First (BFC) Non Operating Interest Expenses (2017 - 2024)
Bank First's Non Operating Interest Expenses was $15.92 million in Q1 2024, up 83.7% from $8.67 million a year earlier and up 1.1% from the prior quarter.
Bank First (BFC) Non Operating Interest Expenses (2017 - 2024) Analysis & Trends
On a trailing twelve-month basis, Bank First's Non Operating Interest Expenses was $56.26 million through Mar 31, 2024, up 193.2% year-over-year; for FY2023, it came in at $49 million, up 293.6% from FY2022.
- Non Operating Interest Expenses shows a five-year compound annual growth rate of 27.0% (FY2018 to FY2023).
- In earlier years, Non Operating Interest Expenses was $12.45 million in FY2022 (+49.9%), $8.3 million in FY2021 (-40.1%), $13.87 million in FY2020 (-28.9%) and $19.5 million in FY2019 (+31.3%).
- The Q1 2024 figure marks the highest quarterly Non Operating Interest Expenses in data going back to Q1 2017.
- Compared with a year earlier, Non Operating Interest Expenses has increased for eight straight quarters, with growth averaging 200.9% over the last eight quarters.
- The best year-over-year quarter for Non Operating Interest Expenses over five years was Q2 2023 (growth of 398.2%); the worst was Q1 2021 (a decline of 49.7%).
- Per Business Quant data, BFC's Non Operating Interest Expenses in the three quarters before Q1 2024 was $15.75 million (Q4 2023), $12.93 million (Q3 2023) and $11.66 million (Q2 2023).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Operating Interest Expenses (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 879.54 Bn | 909.01 Bn | - | - |
| 2 | Banco Santander Chile | 418.48 Bn | 538.42 Bn | - | -538.61 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 | - | - |
| 6 | Royal Bank Of Canada | 275.38 Bn | 126.13 Bn | - | 12.80 Bn |
| 7 | Mitsubishi Ufj Financial | 273.79 Bn | -1,314.70 Bn | 10.89 Bn | 9.12 Bn |
| 8 | Goldman Sachs | 262.78 Bn | -3,294.34 Bn | - | - |
| 9 | Wells Fargo & Company | 242.61 Bn | 244.75 Bn | - | - |
| 10 | Bank First | 1.65 Bn | 614.16 Mn | - | - |
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2024 | 15.92 Mn |
| Dec 31, 2023 | 15.75 Mn |
| Sep 30, 2023 | 12.93 Mn |
| Jun 30, 2023 | 11.66 Mn |
| Mar 31, 2023 | 8.67 Mn |
| Dec 31, 2022 | 5.13 Mn |
| Sep 30, 2022 | 3.05 Mn |
| Jun 30, 2022 | 2.34 Mn |
| Mar 31, 2022 | 1.93 Mn |
| Dec 31, 2021 | 1.81 Mn |
| Sep 30, 2021 | 1.96 Mn |
| Jun 30, 2021 | 2.19 Mn |
| Mar 31, 2021 | 2.34 Mn |
| Dec 31, 2020 | 2.62 Mn |
| Sep 30, 2020 | 3.00 Mn |
| Jun 30, 2020 | 3.59 Mn |
| Mar 31, 2020 | 4.65 Mn |
| Dec 31, 2019 | 5.02 Mn |
| Sep 30, 2019 | 5.18 Mn |
| Jun 30, 2019 | 4.78 Mn |
Bank First Non Operating Interest 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=non-operating-interest-expenses&ticker=BFC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-interest-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=non-operating-interest-expenses&ticker=BFC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();