Choiceone Financial Services (COFS) Retained Earnings (2010 - 2026)
Choiceone Financial Services' Retained Earnings came in at $120.14 million for Q2 2026, up 45.4% from $82.65 million a year earlier and up 7.3% from the prior quarter.
Choiceone Financial Services (COFS) Retained Earnings (2010 - 2026) Analysis & Trends
At the end of FY2025, Choiceone Financial Services' Retained Earnings was $102.64 million, up 12.3% from FY2024.
- Retained Earnings has increased in each of the last 15 years, with a five-year compound annual growth rate of 22.3% (FY2020 to FY2025).
- Going back by year, Retained Earnings was $91.41 million in FY2024 (+24.0%), $73.7 million in FY2023 (+7.8%), $68.39 million in FY2022 (+30.7%) and $52.33 million in FY2021 (+39.6%).
- The Q2 2026 figure represents the highest quarterly Retained Earnings in data going back to Q4 2010.
- Year-over-year, Retained Earnings has increased for five consecutive quarters, with growth averaging 20.1% over the last eight quarters.
- The fastest year-over-year change in Retained Earnings over five years came in Q1 2026 (growth of 52.8%), and the weakest in Q1 2025 (a decline of 5.1%).
- Business Quant data shows COFS's Retained Earnings at $112.01 million (Q1 2026), $102.64 million (Q4 2025) and $93.12 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Retained Earnings (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 879.54 Bn | 909.01 Bn | - | 445.02 Bn |
| 2 | Banco Santander Chile | 418.48 Bn | 538.42 Bn | - | 661.60 Bn |
| 3 | Bank Of America | 381.92 Bn | -1,994.15 Bn | - | 274.52 Bn |
| 4 | Hsbc Holdings | 341.10 Bn | 341.15 Bn | - | 21.39 Bn |
| 5 | Morgan Stanley | 295.71 Bn | -213.38 Bn | - | 122.77 Bn |
| 6 | Royal Bank Of Canada | 275.38 Bn | 126.13 Bn | - | 74.21 Bn |
| 7 | Mitsubishi Ufj Financial | 273.79 Bn | -1,314.70 Bn | 10.89 Bn | 102.78 Bn |
| 8 | Goldman Sachs | 262.78 Bn | -3,294.34 Bn | - | 174.35 Bn |
| 9 | Wells Fargo & Company | 242.61 Bn | 244.75 Bn | - | 237.23 Bn |
| 10 | Choiceone Financial Services | 483.05 Mn | 85.44 Mn | - | 120.14 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 120.14 Mn |
| Mar 31, 2026 | 112.01 Mn |
| Dec 31, 2025 | 102.64 Mn |
| Sep 30, 2025 | 93.12 Mn |
| Jun 30, 2025 | 82.65 Mn |
| Mar 31, 2025 | 73.32 Mn |
| Dec 31, 2024 | 91.41 Mn |
| Sep 30, 2024 | 86.77 Mn |
| Jun 30, 2024 | 81.84 Mn |
| Mar 31, 2024 | 77.29 Mn |
| Dec 31, 2023 | 73.70 Mn |
| Sep 30, 2023 | 70.44 Mn |
| Jun 30, 2023 | 67.28 Mn |
| Mar 31, 2023 | 64.03 Mn |
| Dec 31, 2022 | 68.39 Mn |
| Sep 30, 2022 | 63.66 Mn |
| Jun 30, 2022 | 59.73 Mn |
| Mar 31, 2022 | 55.99 Mn |
| Dec 31, 2021 | 52.33 Mn |
| Sep 30, 2021 | 49.20 Mn |
Choiceone Financial Services Retained Earnings 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=retained-earnings&ticker=COFS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "retained-earnings", "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=retained-earnings&ticker=COFS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();