Choiceone Financial Services (COFS) Interest Expenses (2010 - 2026)
Choiceone Financial Services (COFS) recorded Interest Expenses of $17.24 million in Q2 2026, down 2.0% from $17.6 million a year earlier but up 3.7% from the prior quarter.
Choiceone Financial Services (COFS) Interest Expenses (2010 - 2026) Analysis & Trends
On a TTM basis, Choiceone Financial Services' Interest Expenses came in at $68.51 million as of Jun 30, 2026, up 26.0% year-over-year; for FY2025, it was $65.89 million, up 41.2% from FY2024.
- Annual Interest Expenses has increased for four straight years, with a five-year compound annual growth rate of 70.0% (FY2020 to FY2025).
- Across earlier years, Interest Expenses came in at $46.66 million in FY2024 (+41.0%), $33.1 million in FY2023 (+327.3%), $7.75 million in FY2022 (+94.8%) and $3.98 million in FY2021 (-14.4%).
- Quarterly Interest Expenses has ranged from $1.03 million in Q3 2021 to $17.6 million in Q2 2025 over the past five years.
- On a year-over-year basis, Interest Expenses rose in seven of the last eight quarters, with growth averaging 25.2%.
- Peak year-over-year performance for Interest Expenses in the last five years was growth of 424.7% in Q2 2023, against a decline of 5.8% in Q3 2021 at the low end.
- Per Business Quant, the preceding three quarters came in at $16.63 million (Q1 2026), $17.54 million (Q4 2025) and $17.1 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Int Expense (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 879.54 Bn | 909.01 Bn | - | 25.11 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 | - | 17.84 Bn |
| 4 | Hsbc Holdings | 341.10 Bn | 341.15 Bn | - | - |
| 5 | Morgan Stanley | 295.71 Bn | -213.38 Bn | - | 13.12 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 | - | 18.09 Bn |
| 9 | Wells Fargo & Company | 242.61 Bn | 244.75 Bn | - | 10.97 Bn |
| 10 | Choiceone Financial Services | 483.05 Mn | 85.44 Mn | - | 17.24 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 17.24 Mn |
| Mar 31, 2026 | 16.63 Mn |
| Dec 31, 2025 | 17.54 Mn |
| Sep 30, 2025 | 17.10 Mn |
| Jun 30, 2025 | 17.60 Mn |
| Mar 31, 2025 | 13.65 Mn |
| Dec 31, 2024 | 11.69 Mn |
| Sep 30, 2024 | 11.44 Mn |
| Jun 30, 2024 | 11.57 Mn |
| Mar 31, 2024 | 11.96 Mn |
| Dec 31, 2023 | 11.41 Mn |
| Sep 30, 2023 | 10.08 Mn |
| Jun 30, 2023 | 7.23 Mn |
| Mar 31, 2023 | 4.39 Mn |
| Dec 31, 2022 | 3.27 Mn |
| Sep 30, 2022 | 1.95 Mn |
| Jun 30, 2022 | 1.38 Mn |
| Mar 31, 2022 | 1.15 Mn |
| Dec 31, 2021 | 1.07 Mn |
| Sep 30, 2021 | 1.03 Mn |
Choiceone Financial Services 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=interest-expenses&ticker=COFS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "interest-expenses", "ticker": "COFS", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=interest-expenses&ticker=COFS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();