Farmers & Merchants Bancorp (FMAO) Other Operating Expenses (2010 - 2026)
Farmers & Merchants Bancorp's Other Operating Expenses was $1.59 million in Q2 2026, up 12.7% from $1.41 million a year earlier and up 1.8% from the prior quarter.
Farmers & Merchants Bancorp (FMAO) Other Operating Expenses (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, Farmers & Merchants Bancorp's Other Operating Expenses was $6.04 million through Jun 30, 2026, up 16.3% year-over-year; for FY2025, it came in at $5.58 million, up 5.9% from FY2024.
- Other Operating Expenses has now increased for 12 consecutive years, with a five-year compound annual growth rate of 12.1% (FY2020 to FY2025).
- In earlier years, Other Operating Expenses was $5.26 million in FY2024 (+4.8%), $5.02 million in FY2023 (+19.4%), $4.21 million in FY2022 (+20.2%) and $3.5 million in FY2021 (+11.4%).
- The Q2 2026 figure marks the highest quarterly Other Operating Expenses in data going back to Q2 2010.
- Compared with a year earlier, Other Operating Expenses has increased for five straight quarters, with growth averaging 8.1% over the last eight quarters.
- The best year-over-year quarter for Other Operating Expenses over five years was Q3 2021 (growth of 76.9%); the worst was Q3 2022 (a decline of 32.4%).
- Per Business Quant data, FMAO's Other Operating Expenses in the three quarters before Q2 2026 was $1.57 million (Q1 2026), $1.35 million (Q4 2025) and $1.53 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Jpmorgan Chase | 879.54 Bn | 909.01 Bn | - |
| 2 | Banco Santander Chile | 418.48 Bn | 538.42 Bn | - |
| 3 | Bank Of America | 381.92 Bn | -1,994.15 Bn | - |
| 4 | Hsbc Holdings | 341.10 Bn | 341.15 Bn | - |
| 5 | Morgan Stanley | 295.71 Bn | -213.38 Bn | - |
| 6 | Royal Bank Of Canada | 275.38 Bn | 126.13 Bn | - |
| 7 | Mitsubishi Ufj Financial | 273.79 Bn | -1,314.70 Bn | 10.89 Bn |
| 8 | Goldman Sachs | 262.78 Bn | -3,294.34 Bn | - |
| 9 | Wells Fargo & Company | 242.61 Bn | 244.75 Bn | - |
| 10 | Farmers & Merchants Bancorp | 477.04 Mn | 477.04 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.59 Mn |
| Mar 31, 2026 | 1.57 Mn |
| Dec 31, 2025 | 1.35 Mn |
| Sep 30, 2025 | 1.53 Mn |
| Jun 30, 2025 | 1.41 Mn |
| Mar 31, 2025 | 1.28 Mn |
| Dec 31, 2024 | 1.03 Mn |
| Sep 30, 2024 | 1.47 Mn |
| Jun 30, 2024 | 1.41 Mn |
| Mar 31, 2024 | 1.35 Mn |
| Dec 31, 2023 | 1.37 Mn |
| Sep 30, 2023 | 1.19 Mn |
| Jun 30, 2023 | 1.21 Mn |
| Mar 31, 2023 | 1.25 Mn |
| Dec 31, 2022 | 1.10 Mn |
| Sep 30, 2022 | 1.05 Mn |
| Jun 30, 2022 | 1.01 Mn |
| Mar 31, 2022 | 1.06 Mn |
| Dec 31, 2021 | 959,000.00 |
| Sep 30, 2021 | 1.55 Mn |
Farmers & Merchants Bancorp Other 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=other-operating-expenses&ticker=FMAO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-operating-expenses", "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=other-operating-expenses&ticker=FMAO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();