F&M Bank (FMBM) Retained Earnings (2010 - 2026)
F&M Bank (FMBM) reported Retained Earnings of $94.51 million for Q1 2026, up 9.6% from $86.21 million a year earlier and up 2.5% from the prior quarter.
Powered by 
Analysis
F&M Bank (FMBM) Retained Earnings (2010 - 2026) Analysis & Trends
At the end of FY2025, F&M Bank posted Retained Earnings of $92.21 million, up 8.9% from FY2024.
- Retained Earnings has a five-year compound annual growth rate of 5.3% (FY2020 to FY2025).
- By year, Retained Earnings came in at $84.67 million in FY2024 (+4.5%), $81.03 million in FY2023 (-2.5%), $83.08 million in FY2022 (+6.0%) and $78.35 million in FY2021 (+10.0%).
- The Q1 2026 figure ranks as the highest quarterly Retained Earnings in data going back to Q4 2010.
- Year over year, Retained Earnings has now increased in each of the last eight quarters, with growth averaging 6.0% over the last eight quarters.
- The high point for year-over-year Retained Earnings in five years was Q2 2021 (growth of 12.4%); the low point was Q1 2022 (a decline of 99.9%).
- Per Business Quant data, the three quarters before Q1 2026 came in at $92.21 million (Q4 2025), $90.24 million (Q3 2025) and $88.25 million (Q2 2025).
Peer Set
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 | F&M Bank | 142.42 Mn | 142.42 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 94.51 Mn |
| Dec 31, 2025 | 92.21 Mn |
| Sep 30, 2025 | 90.24 Mn |
| Jun 30, 2025 | 88.25 Mn |
| Mar 31, 2025 | 86.21 Mn |
| Dec 31, 2024 | 84.67 Mn |
| Sep 30, 2024 | 83.32 Mn |
| Jun 30, 2024 | 83.45 Mn |
| Mar 31, 2024 | 81.35 Mn |
| Dec 31, 2023 | 81.03 Mn |
| Sep 30, 2023 | 81.48 Mn |
| Jun 30, 2023 | 81.37 Mn |
| Mar 31, 2023 | 82.03 Mn |
| Dec 31, 2022 | 83.08 Mn |
| Sep 30, 2022 | 82.28 Mn |
| Jun 30, 2022 | 80.88 Mn |
| Mar 31, 2022 | 79,986.00 |
| Dec 31, 2021 | 78.35 Mn |
| Sep 30, 2021 | 77.86 Mn |
| Jun 30, 2021 | 76.43 Mn |
API Access
F&M Bank 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=FMBM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "retained-earnings", "ticker": "FMBM", "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=FMBM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();