Farmers & Merchants Bancorp (FMAO) Selling, General & Administrative (2010 - 2026)
Farmers & Merchants Bancorp (FMAO) reported Selling, General & Administrative of $1.57 million for Q2 2026, down 17.9% from $1.92 million a year earlier and down 6.9% from the prior quarter.
Farmers & Merchants Bancorp (FMAO) Selling, General & Administrative (2010 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Farmers & Merchants Bancorp's Selling, General & Administrative came in at $5.8 million, down 3.3% year-over-year; for FY2025, it came in at $5.94 million, up 9.5% from FY2024.
- Selling, General & Administrative has a five-year compound annual growth rate of -0.5% (FY2020 to FY2025).
- By year, Selling, General & Administrative came in at $5.42 million in FY2024 (-14.9%), $6.37 million in FY2023 (+8.4%), $5.88 million in FY2022 (-28.1%) and $8.18 million in FY2021 (+34.1%).
- Five-year quarterly Selling, General & Administrative spans a low of -$732,000 in Q4 2022 and a high of $3.08 million in Q1 2023.
- Year over year, Selling, General & Administrative gained in four of the last eight quarters, with growth averaging 2.0%.
- The high point for year-over-year Selling, General & Administrative in five years was Q4 2021 (growth of 44.6%); the low point was Q1 2024 (a decline of 56.7%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $1.69 million (Q1 2026), $1.24 million (Q4 2025) and $1.3 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 883.45 Bn | 912.92 Bn | - | - |
| 2 | Banco Santander Chile | 401.52 Bn | 521.46 Bn | - | -86.30 Bn |
| 3 | Bank Of America | 377.43 Bn | -1,998.64 Bn | - | - |
| 4 | Hsbc Holdings | 330.31 Bn | 330.37 Bn | - | - |
| 5 | Morgan Stanley | 299.17 Bn | -209.92 Bn | - | - |
| 6 | Royal Bank Of Canada | 274.08 Bn | 124.82 Bn | - | - |
| 7 | Mitsubishi Ufj Financial | 270.70 Bn | -1,317.79 Bn | 10.89 Bn | 5.65 Bn |
| 8 | Goldman Sachs | 263.13 Bn | -3,293.98 Bn | - | - |
| 9 | Wells Fargo & Company | 243.64 Bn | 245.78 Bn | - | - |
| 10 | Farmers & Merchants Bancorp | 489.03 Mn | 489.03 Mn | - | 1.57 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.57 Mn |
| Mar 31, 2026 | 1.69 Mn |
| Dec 31, 2025 | 1.24 Mn |
| Sep 30, 2025 | 1.30 Mn |
| Jun 30, 2025 | 1.92 Mn |
| Mar 31, 2025 | 1.48 Mn |
| Dec 31, 2024 | 1.47 Mn |
| Sep 30, 2024 | 1.13 Mn |
| Jun 30, 2024 | 1.50 Mn |
| Mar 31, 2024 | 1.33 Mn |
| Dec 31, 2023 | 1.53 Mn |
| Sep 30, 2023 | 1.32 Mn |
| Jun 30, 2023 | 1.64 Mn |
| Mar 31, 2023 | 3.08 Mn |
| Dec 31, 2022 | -732,000.00 |
| Sep 30, 2022 | 2.19 Mn |
| Jun 30, 2022 | 2.24 Mn |
| Mar 31, 2022 | 2.18 Mn |
| Dec 31, 2021 | 1.96 Mn |
| Sep 30, 2021 | 1.95 Mn |
Farmers & Merchants Bancorp Selling, General & Administrative 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=selling-general-and-administrative&ticker=FMAO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=FMAO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();