Farmers & Merchants Bancorp (FMAO) Tax Provisions (2010 - 2026)
Farmers & Merchants Bancorp (FMAO) posted Tax Provisions of $2.97 million for Q2 2026, up 49.3% from $1.99 million a year earlier and up 7.7% from the prior quarter.
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Analysis
Farmers & Merchants Bancorp (FMAO) Tax Provisions (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Tax Provisions at Farmers & Merchants Bancorp was $11.15 million, up 47.9% year-over-year; for FY2025, it came in at $9.22 million, up 38.9% from FY2024.
- Annual Tax Provisions shows a five-year compound annual growth rate of 12.5% (FY2020 to FY2025).
- In prior years, Farmers & Merchants Bancorp's Tax Provisions was $6.64 million in FY2024 (+19.2%), $5.57 million in FY2023 (-30.1%), $7.96 million in FY2022 (+32.6%) and $6 million in FY2021 (+17.4%).
- Quarterly Tax Provisions has run from a low of $1.12 million in Q3 2023 to a high of $3.04 million in Q4 2025 over five years.
- On a year-over-year basis, Tax Provisions has increased in each of the last eight quarters, with growth averaging 44.8% over the last eight quarters.
- The strongest year-over-year quarter for Tax Provisions in the past five years was Q1 2022, with growth of 84.1%; the weakest was Q3 2023, with a decline of 50.2%.
- According to Business Quant data, Tax Provisions for the three prior quarters was $2.76 million (Q1 2026), $3.04 million (Q4 2025) and $2.38 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Taxes (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 879.54 Bn | 909.01 Bn | - | 6.36 Bn |
| 2 | Banco Santander Chile | 418.48 Bn | 538.42 Bn | - | -51.13 Bn |
| 3 | Bank Of America | 381.92 Bn | -1,994.15 Bn | - | 2.49 Bn |
| 4 | Hsbc Holdings | 341.10 Bn | 341.15 Bn | - | - |
| 5 | Morgan Stanley | 295.71 Bn | -213.38 Bn | - | 1.70 Bn |
| 6 | Royal Bank Of Canada | 275.38 Bn | 126.13 Bn | - | 1.24 Bn |
| 7 | Mitsubishi Ufj Financial | 273.79 Bn | -1,314.70 Bn | 10.89 Bn | 1.17 Bn |
| 8 | Goldman Sachs | 262.78 Bn | -3,294.34 Bn | - | 1.94 Bn |
| 9 | Wells Fargo & Company | 242.61 Bn | 244.75 Bn | - | 1.40 Bn |
| 10 | Farmers & Merchants Bancorp | 477.04 Mn | 477.04 Mn | - | 2.97 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.97 Mn |
| Mar 31, 2026 | 2.76 Mn |
| Dec 31, 2025 | 3.04 Mn |
| Sep 30, 2025 | 2.38 Mn |
| Jun 30, 2025 | 1.99 Mn |
| Mar 31, 2025 | 1.81 Mn |
| Dec 31, 2024 | 2.15 Mn |
| Sep 30, 2024 | 1.59 Mn |
| Jun 30, 2024 | 1.48 Mn |
| Mar 31, 2024 | 1.42 Mn |
| Dec 31, 2023 | 1.33 Mn |
| Sep 30, 2023 | 1.12 Mn |
| Jun 30, 2023 | 1.53 Mn |
| Mar 31, 2023 | 1.58 Mn |
| Dec 31, 2022 | 1.71 Mn |
| Sep 30, 2022 | 2.25 Mn |
| Jun 30, 2022 | 2.05 Mn |
| Mar 31, 2022 | 1.95 Mn |
| Dec 31, 2021 | 2.00 Mn |
| Sep 30, 2021 | 1.62 Mn |
API Access
Farmers & Merchants Bancorp Tax Provisions 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=tax-provisions&ticker=FMAO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "tax-provisions", "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=tax-provisions&ticker=FMAO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();