Farmers & Merchants Bancshares (FMFG) Retained Earnings (2016 - 2026)
Farmers & Merchants Bancshares (FMFG) recorded Retained Earnings of $47.77 million in Q2 2026, up 8.6% from $43.98 million a year earlier and up 1.6% from the prior quarter.
Farmers & Merchants Bancshares (FMFG) Retained Earnings (2016 - 2026) Analysis & Trends
At the end of FY2025, Farmers & Merchants Bancshares reported Retained Earnings of $45.21 million, up 8.6% from FY2024.
- Annual Retained Earnings has increased for nine straight years, with a five-year compound annual growth rate of 14.8% (FY2020 to FY2025).
- Across earlier years, Retained Earnings came in at $41.61 million in FY2024 (+5.5%), $39.43 million in FY2023 (+11.7%), $35.3 million in FY2022 (+21.2%) and $29.13 million in FY2021 (+28.3%).
- The Q2 2026 figure is the highest quarterly Retained Earnings in data going back to Q4 2016.
- On a year-over-year basis, Retained Earnings has increased for 35 consecutive quarters, with growth averaging 7.5% over the last eight quarters.
- Over the past five years, the year-over-year growth in Retained Earnings ranged from 5.2% (Q1 2025) to 28.3% (Q4 2021).
- Per Business Quant, the preceding three quarters came in at $47.04 million (Q1 2026), $45.21 million (Q4 2025) and $44.6 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Retained Earnings (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 890.60 Bn | 920.07 Bn | - | 445.02 Bn |
| 2 | Banco Santander Chile | 421.74 Bn | 541.68 Bn | - | 661.60 Bn |
| 3 | Bank Of America | 385.85 Bn | -1,990.22 Bn | - | 274.52 Bn |
| 4 | Hsbc Holdings | 345.94 Bn | 345.99 Bn | - | 21.39 Bn |
| 5 | Morgan Stanley | 303.15 Bn | -205.95 Bn | - | 122.77 Bn |
| 6 | Royal Bank Of Canada | 279.82 Bn | 130.57 Bn | - | 74.21 Bn |
| 7 | Mitsubishi Ufj Financial | 274.62 Bn | -1,313.87 Bn | 10.89 Bn | 102.78 Bn |
| 8 | Goldman Sachs | 267.07 Bn | -3,290.04 Bn | - | 174.35 Bn |
| 9 | Wells Fargo & Company | 243.79 Bn | 245.93 Bn | - | 237.23 Bn |
| 10 | Farmers & Merchants Bancshares | 61.21 Mn | 59.01 Mn | - | 47.77 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 47.77 Mn |
| Mar 31, 2026 | 47.04 Mn |
| Dec 31, 2025 | 45.21 Mn |
| Sep 30, 2025 | 44.60 Mn |
| Jun 30, 2025 | 43.98 Mn |
| Mar 31, 2025 | 42.78 Mn |
| Dec 31, 2024 | 41.61 Mn |
| Sep 30, 2024 | 41.83 Mn |
| Jun 30, 2024 | 40.70 Mn |
| Mar 31, 2024 | 40.65 Mn |
| Dec 31, 2023 | 39.43 Mn |
| Sep 30, 2023 | 38.94 Mn |
| Jun 30, 2023 | 37.51 Mn |
| Mar 31, 2023 | 36.85 Mn |
| Dec 31, 2022 | 35.30 Mn |
| Sep 30, 2022 | 34.26 Mn |
| Jun 30, 2022 | 32.29 Mn |
| Mar 31, 2022 | 31.18 Mn |
| Dec 31, 2021 | 29.13 Mn |
| Sep 30, 2021 | 28.04 Mn |
Farmers & Merchants Bancshares 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=FMFG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "retained-earnings", "ticker": "FMFG", "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=FMFG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();