Farmers & Merchants Bancorp Inc (FMAO) Professional Fees (2018 - 2026)
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Analysis
Farmers & Merchants Bancorp Inc (FMAO) Professional Fees (2018 - 2026) Analysis & Trends
Peer Set
Peer Comparison
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 425,000.00 |
| Mar 31, 2026 | 500,000.00 |
| Dec 31, 2025 | 352,000.00 |
| Sep 30, 2025 | 516,000.00 |
| Jun 30, 2025 | 502,000.00 |
| Mar 31, 2025 | 559,000.00 |
| Dec 31, 2024 | 368,000.00 |
| Sep 30, 2024 | 453,000.00 |
| Jun 30, 2024 | 527,000.00 |
| Mar 31, 2024 | 445,000.00 |
| Dec 31, 2023 | 331,000.00 |
| Sep 30, 2023 | 358,000.00 |
| Jun 30, 2023 | 325,000.00 |
| Mar 31, 2023 | 230,000.00 |
| Dec 31, 2022 | 827,000.00 |
| Sep 30, 2022 | 254,000.00 |
| Jun 30, 2022 | 233,000.00 |
| Mar 31, 2022 | 178,000.00 |
| Dec 31, 2021 | 761,000.00 |
| Sep 30, 2021 | 256,000.00 |
API Access
Farmers & Merchants Bancorp Inc Professional Fees 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=professional-fees&ticker=FMAO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "professional-fees", "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=professional-fees&ticker=FMAO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();