Farmers & Merchants Bancshares (FMFG) Operating Expenses (2016 - 2026)
Farmers & Merchants Bancshares (FMFG) posted Operating Expenses of $5.02 million for Q3 2026, up 13.9% from $4.41 million a year earlier and up 4.8% from the prior quarter.
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Analysis
Farmers & Merchants Bancshares (FMFG) Operating Expenses (2016 - 2026) Analysis & Trends
For the trailing twelve months through Sep 30, 2026, Operating Expenses at Farmers & Merchants Bancshares was $19.21 million, up 5.2% year-over-year; for FY2025, it came in at $18.3 million, up 8.1% from FY2024.
- Annual Operating Expenses shows a five-year compound annual growth rate of 3.3% (FY2020 to FY2025).
- In prior years, Farmers & Merchants Bancshares' Operating Expenses was $16.93 million in FY2024 (+11.8%), $15.14 million in FY2023 (-1.5%), $15.37 million in FY2022 (+8.8%) and $14.13 million in FY2021 (-9.3%).
- The Q3 2026 figure stands as the highest quarterly Operating Expenses since Q4 2020.
- On a year-over-year basis, Operating Expenses has increased in each of the last 11 quarters, with growth averaging 8.8% over the last eight quarters.
- The strongest year-over-year quarter for Operating Expenses in the past five years was Q4 2024, with growth of 16.9%; the weakest was Q4 2021, with a decline of 33.4%.
- According to Business Quant data, Operating Expenses for the three prior quarters was $4.79 million (Q2 2026), $4.74 million (Q1 2026) and $4.66 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 918.91 Bn | 918.91 Bn | - | 27.30 Bn |
| 2 | Banco Santander Chile | 870.35 Bn | 846.93 Bn | - | - |
| 3 | Bank Of America | 358.55 Bn | -2,017.56 Bn | - | 19.72 Bn |
| 4 | Hsbc Holdings | 315.74 Bn | -668.95 Bn | - | - |
| 5 | Morgan Stanley | 290.88 Bn | -253.14 Bn | - | 13.71 Bn |
| 6 | Royal Bank Of Canada | 287.92 Bn | 137.98 Bn | - | 7.02 Bn |
| 7 | Goldman Sachs | 270.57 Bn | -3,472.88 Bn | - | 11.31 Bn |
| 8 | Wells Fargo & Company | 258.79 Bn | 258.79 Bn | - | 13.74 Bn |
| 9 | Mitsubishi Ufj Financial | 247.94 Bn | 129.81 Bn | - | - |
| 10 | Farmers & Merchants Bancshares | 60.36 Mn | 58.16 Mn | - | 4.79 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 4.79 Mn |
| Mar 31, 2026 | 4.74 Mn |
| Dec 31, 2025 | 4.66 Mn |
| Sep 30, 2025 | 4.41 Mn |
| Jun 30, 2025 | 4.73 Mn |
| Mar 31, 2025 | 4.50 Mn |
| Dec 31, 2024 | 4.62 Mn |
| Sep 30, 2024 | 4.07 Mn |
| Jun 30, 2024 | 4.12 Mn |
| Mar 31, 2024 | 4.11 Mn |
| Dec 31, 2023 | 3.95 Mn |
| Sep 30, 2023 | 3.75 Mn |
| Jun 30, 2023 | 3.69 Mn |
| Mar 31, 2023 | 3.76 Mn |
| Dec 31, 2022 | 4.21 Mn |
| Sep 30, 2022 | 3.78 Mn |
| Jun 30, 2022 | 3.57 Mn |
| Mar 31, 2022 | 3.80 Mn |
| Dec 31, 2021 | 3.76 Mn |
| Sep 30, 2021 | 3.47 Mn |
API Access
Farmers & Merchants Bancshares 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=FMFG&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=FMFG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();