Farmers & Merchants Bancorp (FMAO) Accumulated Expenses (2012 - 2026)
Farmers & Merchants Bancorp (FMAO) recorded Accumulated Expenses of $26.66 million in Q2 2026, down 13.3% from $30.76 million a year earlier and down 5.2% from the prior quarter.
Farmers & Merchants Bancorp (FMAO) Accumulated Expenses (2012 - 2026) Analysis & Trends
At the end of FY2025, Farmers & Merchants Bancorp reported Accumulated Expenses of $29.63 million, down 6.4% from FY2024.
- Annual Accumulated Expenses has a five-year compound annual growth rate of 15.8% (FY2020 to FY2025).
- Across earlier years, Accumulated Expenses came in at $31.66 million in FY2024 (+14.8%), $27.58 million in FY2023 (+43.4%), $19.24 million in FY2022 (+10.5%) and $17.41 million in FY2021 (+22.3%).
- The Q2 2026 figure is the lowest quarterly Accumulated Expenses since Q1 2024.
- On a year-over-year basis, Accumulated Expenses has declined for four consecutive quarters, with growth averaging 9.3% over the last eight quarters.
- Peak year-over-year performance for Accumulated Expenses in the last five years was growth of 86.5% in Q3 2024, against a decline of 30.4% in Q3 2025 at the low end.
- Per Business Quant, the preceding three quarters came in at $28.12 million (Q1 2026), $29.63 million (Q4 2025) and $28.44 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 | 26.66 Mn |
| Mar 31, 2026 | 28.12 Mn |
| Dec 31, 2025 | 29.63 Mn |
| Sep 30, 2025 | 28.44 Mn |
| Jun 30, 2025 | 30.76 Mn |
| Mar 31, 2025 | 33.33 Mn |
| Dec 31, 2024 | 31.66 Mn |
| Sep 30, 2024 | 40.83 Mn |
| Jun 30, 2024 | 27.83 Mn |
| Mar 31, 2024 | 25.93 Mn |
| Dec 31, 2023 | 27.58 Mn |
| Sep 30, 2023 | 21.89 Mn |
| Jun 30, 2023 | 18.18 Mn |
| Mar 31, 2023 | 18.88 Mn |
| Dec 31, 2022 | 19.24 Mn |
| Sep 30, 2022 | 14.91 Mn |
| Jun 30, 2022 | 18.06 Mn |
| Mar 31, 2022 | 14.77 Mn |
| Dec 31, 2021 | 17.41 Mn |
| Sep 30, 2021 | 14.10 Mn |
Farmers & Merchants Bancorp Accumulated 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=accumulated-expenses&ticker=FMAO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-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=accumulated-expenses&ticker=FMAO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();