Choiceone Financial Services (COFS) EBITDA (2010 - 2026)
Choiceone Financial Services (COFS) recorded EBITDA of $37.02 million in Q2 2026, down 6.7% from $39.69 million a year earlier and down 3.2% from the prior quarter.
Choiceone Financial Services (COFS) EBITDA (2010 - 2026) Analysis & Trends
On a TTM basis, Choiceone Financial Services' EBITDA came in at $155.84 million as of Jun 30, 2026, up 79.4% year-over-year; for FY2025, it was $119.95 million, up 30.2% from FY2024.
- Annual EBITDA has increased for ten straight years, with a five-year compound annual growth rate of 30.9% (FY2020 to FY2025).
- Across earlier years, EBITDA came in at $92.12 million in FY2024 (+29.5%), $71.12 million in FY2023 (+45.8%), $48.79 million in FY2022 (+13.7%) and $42.9 million in FY2021 (+37.3%).
- The Q2 2026 figure is the lowest quarterly EBITDA since Q1 2025.
- On a year-over-year basis, EBITDA rose in five of the last six quarters, with growth averaging 40.4%.
- Peak year-over-year performance for EBITDA in the last five years was growth of 74.3% in Q2 2025, against a decline of 6.7% in Q2 2026 at the low end.
- Per Business Quant, the preceding three quarters came in at $38.24 million (Q1 2026), $39.64 million (Q4 2025) and $40.93 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 879.54 Bn | 909.01 Bn | - | 54.95 Bn |
| 2 | Banco Santander Chile | 418.48 Bn | 538.42 Bn | - | -1,174.27 Bn |
| 3 | Bank Of America | 381.92 Bn | -1,994.15 Bn | - | 30.01 Bn |
| 4 | Hsbc Holdings | 341.10 Bn | 341.15 Bn | - | - |
| 5 | Morgan Stanley | 295.71 Bn | -213.38 Bn | - | 21.67 Bn |
| 6 | Royal Bank Of Canada | 275.38 Bn | 126.13 Bn | - | 18.88 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 | - | 27.17 Bn |
| 9 | Wells Fargo & Company | 242.61 Bn | 244.75 Bn | - | 20.89 Bn |
| 10 | Choiceone Financial Services | 483.05 Mn | 85.44 Mn | - | 37.02 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 37.02 Mn |
| Mar 31, 2026 | 38.24 Mn |
| Dec 31, 2025 | 39.64 Mn |
| Sep 30, 2025 | 40.93 Mn |
| Jun 30, 2025 | 39.69 Mn |
| Mar 31, 2025 | -313,000.00 |
| Dec 31, 2024 | 23.69 Mn |
| Sep 30, 2024 | 23.80 Mn |
| Jun 30, 2024 | 22.77 Mn |
| Mar 31, 2024 | 21.86 Mn |
| Dec 31, 2023 | 20.96 Mn |
| Sep 30, 2023 | 19.43 Mn |
| Jun 30, 2023 | 16.57 Mn |
| Mar 31, 2023 | 14.16 Mn |
| Dec 31, 2022 | 14.22 Mn |
| Sep 30, 2022 | 12.14 Mn |
| Jun 30, 2022 | 11.46 Mn |
| Mar 31, 2022 | 10.97 Mn |
| Dec 31, 2021 | 10.69 Mn |
| Sep 30, 2021 | 11.24 Mn |
Choiceone Financial Services EBITDA 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=ebitda&ticker=COFS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=COFS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();