Farmers & Merchants Bancorp (FMAO) Revenue (2009 - 2026)
Farmers & Merchants Bancorp (FMAO) recorded Revenue of $34.35 million in Q2 2026, up 15.9% from $29.65 million a year earlier and up 5.9% from the prior quarter.
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Analysis
Farmers & Merchants Bancorp (FMAO) Revenue (2009 - 2026) Analysis & Trends
On a TTM basis, Farmers & Merchants Bancorp's Revenue came in at $130.5 million as of Jun 30, 2026, up 18.5% year-over-year; for FY2025, it came in at $121.43 million, up 19.6% from FY2024.
- Annual Revenue has a five-year compound annual growth rate of 9.7% (FY2020 to FY2025).
- Across earlier years, Revenue came in at $101.53 million in FY2024 (+4.3%), $97.3 million in FY2023 (-5.1%), $102.58 million in FY2022 (+17.8%) and $87.11 million in FY2021 (+13.8%).
- The Q2 2026 figure is the highest quarterly Revenue in data going back to Q2 2010.
- On a year-over-year basis, Revenue has increased for nine consecutive quarters, with growth averaging 16.5% over the last eight quarters.
- Peak year-over-year performance for Revenue in the last five years was growth of 25.9% in Q2 2022, against a decline of 12.0% in Q4 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at $32.44 million (Q1 2026), $32.45 million (Q4 2025) and $31.26 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Revenue (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 909.02 Bn | 886.77 Bn | - | 50.17 Bn |
| 2 | Banco Santander Chile | 406.67 Bn | -7,110.43 Bn | - | - |
| 3 | Bank Of America | 350.91 Bn | -2,025.20 Bn | - | 29.96 Bn |
| 4 | Hsbc Holdings | 308.71 Bn | -2,966.46 Bn | - | 18.62 Bn |
| 5 | Morgan Stanley | 293.66 Bn | -249.15 Bn | - | 20.34 Bn |
| 6 | Royal Bank Of Canada | 283.56 Bn | -546.44 Bn | - | 13.30 Bn |
| 7 | Goldman Sachs | 262.71 Bn | -3,480.74 Bn | - | 18.68 Bn |
| 8 | Wells Fargo & Company | 257.44 Bn | 92.87 Bn | - | 21.87 Bn |
| 9 | Mitsubishi Ufj Financial | 256.82 Bn | -75.42 Bn | 10.89 Bn | 9.94 Bn |
| 10 | Farmers & Merchants Bancorp | 510.44 Mn | -55.87 Mn | - | 34.81 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 34.81 Mn |
| Jun 30, 2026 | 34.35 Mn |
| Mar 31, 2026 | 32.44 Mn |
| Dec 31, 2025 | 32.45 Mn |
| Sep 30, 2025 | 31.26 Mn |
| Jun 30, 2025 | 29.65 Mn |
| Mar 31, 2025 | 28.07 Mn |
| Dec 31, 2024 | 26.83 Mn |
| Sep 30, 2024 | 25.55 Mn |
| Jun 30, 2024 | 25.09 Mn |
| Mar 31, 2024 | 24.06 Mn |
| Dec 31, 2023 | 23.73 Mn |
| Sep 30, 2023 | 23.33 Mn |
| Jun 30, 2023 | 24.39 Mn |
| Mar 31, 2023 | 25.86 Mn |
| Dec 31, 2022 | 26.96 Mn |
| Sep 30, 2022 | 26.32 Mn |
| Jun 30, 2022 | 25.18 Mn |
| Mar 31, 2022 | 24.13 Mn |
| Dec 31, 2021 | 24.55 Mn |
API Access
Farmers & Merchants Bancorp Revenue 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=revenue&ticker=FMAO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "revenue", "ticker": "FMAO", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=revenue&ticker=FMAO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();