Choiceone Financial Services (COFS) Enterprise Value (2010 - 2026)
Choiceone Financial Services (COFS) posted Enterprise Value of $410.17 million for Q2 2026, up 54.8% from $264.89 million a year earlier and up 25.4% from the prior quarter.
Choiceone Financial Services (COFS) Enterprise Value (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Enterprise Value at Choiceone Financial Services was $110.7 million; for FY2025, it came in at $345.49 million, up 60.7% from FY2024.
- Annual Enterprise Value shows a five-year compound annual growth rate of 17.0% (FY2020 to FY2025).
- In prior years, Choiceone Financial Services' Enterprise Value was $215 million in FY2024 (+35.9%), $158.22 million in FY2023 (-4.4%), $165.46 million in FY2022 (+4.3%) and $158.57 million in FY2021 (+0.5%).
- The Q2 2026 figure stands as the highest quarterly Enterprise Value in data going back to Q4 2010.
- On a year-over-year basis, Enterprise Value has increased in each of the last seven quarters, with growth averaging 112.9% over the last seven quarters.
- The strongest year-over-year quarter for Enterprise Value in the past five years was Q1 2025, with growth of 223.5%; the weakest was Q1 2024, with a decline of 61.1%.
- According to Business Quant data, Enterprise Value for the three prior quarters was $327.04 million (Q1 2026), $345.49 million (Q4 2025) and $326.43 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (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 | - |
| 6 | Royal Bank Of Canada | 275.38 Bn | 126.13 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 | - |
| 9 | Wells Fargo & Company | 242.61 Bn | 244.75 Bn | - |
| 10 | Choiceone Financial Services | 483.05 Mn | 85.44 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 410.17 Mn |
| Mar 31, 2026 | 327.04 Mn |
| Dec 31, 2025 | 345.49 Mn |
| Sep 30, 2025 | 326.43 Mn |
| Jun 30, 2025 | 264.89 Mn |
| Mar 31, 2025 | 158.40 Mn |
| Dec 31, 2024 | 215.00 Mn |
| Sep 30, 2024 | 123.19 Mn |
| Jun 30, 2024 | 108.48 Mn |
| Mar 31, 2024 | 48.97 Mn |
| Dec 31, 2023 | 158.22 Mn |
| Sep 30, 2023 | -3.83 Mn |
| Jun 30, 2023 | 88.19 Mn |
| Mar 31, 2023 | 125.96 Mn |
| Dec 31, 2022 | 165.46 Mn |
| Sep 30, 2022 | 103.65 Mn |
| Jun 30, 2022 | 102.53 Mn |
| Mar 31, 2022 | 89.44 Mn |
| Dec 31, 2021 | 158.57 Mn |
| Sep 30, 2021 | 119.68 Mn |
Choiceone Financial Services Enterprise Value 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=enterprise-value&ticker=COFS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "enterprise-value", "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=enterprise-value&ticker=COFS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();