Farmers & Merchants Bancorp (FMAO) Revenue (2010 - 2026)
Farmers & Merchants Bancorp (FMAO) recorded Revenue of $1.85 million in Q2 2026, up 20.1% from $1.54 million a year earlier and up 4.5% from the prior quarter.
Farmers & Merchants Bancorp (FMAO) Revenue (2010 - 2026) Analysis & Trends
On a TTM basis, Farmers & Merchants Bancorp's Revenue came in at $6.98 million as of Jun 30, 2026, up 18.1% year-over-year; for FY2025, it came in at $6.41 million, up 10.5% from FY2024.
- Annual Revenue has a five-year compound annual growth rate of -12.5% (FY2020 to FY2025).
- Across earlier years, Revenue came in at $5.8 million in FY2024 (+2.1%), $5.68 million in FY2023 (-9.6%), $6.28 million in FY2022 (-53.2%) and $13.42 million in FY2021 (+7.4%).
- The Q2 2026 figure is the highest quarterly Revenue since Q1 2023.
- On a year-over-year basis, Revenue has increased for five consecutive quarters, with growth averaging 10.4% over the last eight quarters.
- Peak year-over-year performance for Revenue in the last five years was growth of 37.2% in Q1 2023, against a decline of 66.9% in Q1 2024 at the low end.
- Per Business Quant, the preceding three quarters came in at $1.77 million (Q1 2026), $1.65 million (Q4 2025) and $1.72 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Revenue (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 881.30 Bn | 881.30 Bn | - | 57.35 Bn |
| 2 | Bank Of America | 354.90 Bn | -2,021.17 Bn | - | 31.56 Bn |
| 3 | Hsbc Holdings | 311.39 Bn | -1,517.77 Bn | - | 20.19 Bn |
| 4 | Morgan Stanley | 282.15 Bn | -226.95 Bn | - | 21.35 Bn |
| 5 | Royal Bank Of Canada | 281.68 Bn | -548.32 Bn | - | 13.30 Bn |
| 6 | Goldman Sachs | 255.22 Bn | -3,301.89 Bn | - | 20.34 Bn |
| 7 | Mitsubishi Ufj Financial | 249.82 Bn | -82.42 Bn | 10.89 Bn | 9.94 Bn |
| 8 | Wells Fargo & Company | 249.49 Bn | 251.62 Bn | - | 22.62 Bn |
| 9 | Toronto Dominion Bank | 210.53 Bn | -465.35 Bn | - | 12.11 Bn |
| 10 | Farmers & Merchants Bancorp | 503.50 Mn | 503.50 Mn | - | 34.35 Mn |
Historic Data
| Date | Value |
|---|---|
| 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 |
| Sep 30, 2021 | 22.52 Mn |
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_KEY
import 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();