Choiceone Financial Services (COFS) Cash & Equivalents (2010 - 2026)
Choiceone Financial Services (COFS) reported Cash & Equivalents of $88.65 million for Q2 2026, down 43.3% from $156.28 million a year earlier but up 5.3% from the prior quarter.
Choiceone Financial Services (COFS) Cash & Equivalents (2010 - 2026) Analysis & Trends
At the end of FY2025, Choiceone Financial Services posted Cash & Equivalents of $87.99 million, down 9.1% from FY2024.
- Cash & Equivalents has a five-year compound annual growth rate of 2.0% (FY2020 to FY2025).
- By year, Cash & Equivalents came in at $96.75 million in FY2024 (+74.5%), $55.43 million in FY2023 (+26.1%), $43.94 million in FY2022 (+37.8%) and $31.89 million in FY2021 (-59.9%).
- Five-year quarterly Cash & Equivalents spans a low of $31.89 million in Q4 2021 and a high of $156.28 million in Q2 2025.
- Year over year, Cash & Equivalents has now declined in each of the last four quarters, with an average decline of 0.1% over the last eight quarters.
- The high point for year-over-year Cash & Equivalents in five years was Q3 2023 (growth of 181.0%); the low point was Q4 2021 (a decline of 59.9%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $84.22 million (Q1 2026), $87.99 million (Q4 2025) and $98.98 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 883.45 Bn | 912.92 Bn | - | - |
| 2 | Banco Santander Chile | 401.52 Bn | 521.46 Bn | - | - |
| 3 | Bank Of America | 377.43 Bn | -1,998.64 Bn | - | 229.75 Bn |
| 4 | Hsbc Holdings | 330.31 Bn | 330.37 Bn | - | 29.08 Bn |
| 5 | Morgan Stanley | 299.17 Bn | -209.92 Bn | - | 160.14 Bn |
| 6 | Royal Bank Of Canada | 274.08 Bn | 124.82 Bn | - | 46.00 Bn |
| 7 | Mitsubishi Ufj Financial | 270.70 Bn | -1,317.79 Bn | 10.89 Bn | - |
| 8 | Goldman Sachs | 263.13 Bn | -3,293.98 Bn | - | 187.27 Bn |
| 9 | Wells Fargo & Company | 243.64 Bn | 245.78 Bn | - | - |
| 10 | Choiceone Financial Services | 495.01 Mn | 97.40 Mn | - | 88.65 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 88.65 Mn |
| Mar 31, 2026 | 84.22 Mn |
| Dec 31, 2025 | 87.99 Mn |
| Sep 30, 2025 | 98.98 Mn |
| Jun 30, 2025 | 156.28 Mn |
| Mar 31, 2025 | 139.42 Mn |
| Dec 31, 2024 | 96.75 Mn |
| Sep 30, 2024 | 145.94 Mn |
| Jun 30, 2024 | 101.00 Mn |
| Mar 31, 2024 | 150.13 Mn |
| Dec 31, 2023 | 55.43 Mn |
| Sep 30, 2023 | 144.67 Mn |
| Jun 30, 2023 | 76.81 Mn |
| Mar 31, 2023 | 55.19 Mn |
| Dec 31, 2022 | 43.94 Mn |
| Sep 30, 2022 | 51.49 Mn |
| Jun 30, 2022 | 40.30 Mn |
| Mar 31, 2022 | 89.98 Mn |
| Dec 31, 2021 | 31.89 Mn |
| Sep 30, 2021 | 59.78 Mn |
Choiceone Financial Services Cash & Equivalents 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=cash-and-equivalents&ticker=COFS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=COFS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();