Farmers & Merchants Bancorp (FMCB) Operating Expenses (2009 - 2026)
Farmers & Merchants Bancorp's Operating Expenses was $35.83 million in Q3 2026, up 23.8% from $28.95 million a year earlier and up 27.3% from the prior quarter.
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Analysis
Farmers & Merchants Bancorp (FMCB) Operating Expenses (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Farmers & Merchants Bancorp's Operating Expenses was $122.56 million through Sep 30, 2026, up 14.0% year-over-year; for FY2025, it came in at $110.52 million, up 5.1% from FY2024.
- Operating Expenses has now increased for 15 consecutive years, with a five-year compound annual growth rate of 6.0% (FY2020 to FY2025).
- In earlier years, Operating Expenses was $105.13 million in FY2024 (+0.8%), $104.34 million in FY2023 (+11.5%), $93.56 million in FY2022 (+2.0%) and $91.76 million in FY2021 (+11.4%).
- The Q3 2026 figure marks the highest quarterly Operating Expenses in data going back to Q2 2010.
- Compared with a year earlier, Operating Expenses has increased for six straight quarters, with growth averaging 8.8% over the last eight quarters.
- The best year-over-year quarter for Operating Expenses over five years was Q3 2026 (growth of 23.8%); the worst was Q1 2022 (a decline of 9.8%).
- Per Business Quant data, FMCB's Operating Expenses in the three quarters before Q3 2026 was $28.14 million (Q2 2026), $29.18 million (Q1 2026) and $29.41 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 909.02 Bn | 886.77 Bn | - | 27.30 Bn |
| 2 | Banco Santander Chile | 406.67 Bn | -7,110.43 Bn | - | - |
| 3 | Bank Of America | 350.91 Bn | -2,025.20 Bn | - | 19.72 Bn |
| 4 | Hsbc Holdings | 308.71 Bn | -2,966.46 Bn | - | 8.82 Bn |
| 5 | Morgan Stanley | 293.66 Bn | -249.15 Bn | - | 13.71 Bn |
| 6 | Royal Bank Of Canada | 283.56 Bn | -546.44 Bn | - | 7.02 Bn |
| 7 | Goldman Sachs | 262.71 Bn | -3,480.74 Bn | - | 11.31 Bn |
| 8 | Wells Fargo & Company | 257.44 Bn | 92.87 Bn | - | 13.74 Bn |
| 9 | Mitsubishi Ufj Financial | 256.82 Bn | -75.42 Bn | 10.89 Bn | 17.50 Bn |
| 10 | Farmers & Merchants Bancorp | 1.03 Bn | 47.12 Mn | - | 35.83 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 35.83 Mn |
| Jun 30, 2026 | 28.14 Mn |
| Mar 31, 2026 | 29.18 Mn |
| Dec 31, 2025 | 29.41 Mn |
| Sep 30, 2025 | 28.95 Mn |
| Jun 30, 2025 | 26.65 Mn |
| Mar 31, 2025 | 25.51 Mn |
| Dec 31, 2024 | 26.43 Mn |
| Sep 30, 2024 | 27.76 Mn |
| Jun 30, 2024 | 25.42 Mn |
| Mar 31, 2024 | 25.52 Mn |
| Dec 31, 2023 | 24.87 Mn |
| Sep 30, 2023 | 24.47 Mn |
| Jun 30, 2023 | 26.82 Mn |
| Mar 31, 2023 | 28.18 Mn |
| Dec 31, 2022 | 22.37 Mn |
| Sep 30, 2022 | 24.38 Mn |
| Jun 30, 2022 | 23.03 Mn |
| Mar 31, 2022 | 23.79 Mn |
| Dec 31, 2021 | 24.03 Mn |
API Access
Farmers & Merchants Bancorp Operating Expenses 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=operating-expenses&ticker=FMCB&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "FMCB", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=operating-expenses&ticker=FMCB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();