Farmers & Merchants Bancorp (FMAO) Amortizatization of Intangibles (2010 - 2026)
Farmers & Merchants Bancorp's Amortizatization of Intangibles came in at $274,000 for Q2 2026, down 33.8% from $414,000 a year earlier and unchanged from the prior quarter.
Farmers & Merchants Bancorp (FMAO) Amortizatization of Intangibles (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Farmers & Merchants Bancorp reported Amortizatization of Intangibles of $1.42 million, down 16.5% year-over-year; for FY2025, it came in at $1.7 million, unchanged from FY2024.
- Amortizatization of Intangibles carries a five-year compound annual growth rate of 10.5% (FY2020 to FY2025).
- Going back by year, Amortizatization of Intangibles was $1.7 million in FY2024 (unchanged), $1.7 million in FY2023 (+68.2%), $1.01 million in FY2022 (+49.3%) and $677,000 in FY2021 (-34.3%).
- The five-year range for quarterly Amortizatization of Intangibles is $59,000 (Q2 2022) to $458,000 (Q4 2025).
- The fastest year-over-year change in Amortizatization of Intangibles over five years came in Q2 2023 (growth of 178.0%), and the weakest in Q2 2022 (a decline of 88.7%).
- Business Quant data shows FMAO's Amortizatization of Intangibles at $274,000 (Q1 2026), $458,000 (Q4 2025) and $414,000 (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Amort. of Intangibles (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 883.45 Bn | 912.92 Bn | - | - |
| 2 | Banco Santander Chile | 401.52 Bn | 521.46 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 | - | 287.60 Mn |
| 7 | Mitsubishi Ufj Financial | 270.70 Bn | -1,317.79 Bn | 10.89 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 | - | 274,000.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 274,000.00 |
| Mar 31, 2026 | 274,000.00 |
| Dec 31, 2025 | 458,000.00 |
| Sep 30, 2025 | 414,000.00 |
| Jun 30, 2025 | 414,000.00 |
| Mar 31, 2025 | 414,000.00 |
| Dec 31, 2024 | 458,000.00 |
| Sep 30, 2024 | 414,000.00 |
| Jun 30, 2024 | 414,000.00 |
| Mar 31, 2024 | 414,000.00 |
| Dec 31, 2023 | 458,000.00 |
| Sep 30, 2023 | 414,000.00 |
| Jun 30, 2023 | 164,000.00 |
| Mar 31, 2023 | 414,000.00 |
| Dec 31, 2022 | 414,000.00 |
| Sep 30, 2022 | 199,000.00 |
| Jun 30, 2022 | 59,000.00 |
| Mar 31, 2022 | 199,000.00 |
| Dec 31, 2021 | 199,000.00 |
| Sep 30, 2021 | 285,000.00 |
Farmers & Merchants Bancorp Amortizatization of Intangibles 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=amortizatization-of-intangibles&ticker=FMAO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "amortizatization-of-intangibles", "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=amortizatization-of-intangibles&ticker=FMAO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();