F&M Bank Corp (FMBM) Professional Fees (2016 - 2026)
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Analysis
F&M Bank Corp (FMBM) Professional Fees (2016 - 2026) Analysis & Trends
Peer Set
Peer Comparison
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 753,000.00 |
| Dec 31, 2025 | 589,000.00 |
| Sep 30, 2025 | 547,000.00 |
| Jun 30, 2025 | 527,000.00 |
| Mar 31, 2025 | 479,000.00 |
| Dec 31, 2024 | 524,000.00 |
| Sep 30, 2024 | 303,000.00 |
| Jun 30, 2024 | 473,000.00 |
| Mar 31, 2024 | 484,000.00 |
| Dec 31, 2023 | 425,000.00 |
| Sep 30, 2023 | 327,000.00 |
| Jun 30, 2023 | 544,000.00 |
| Mar 31, 2023 | 371,000.00 |
| Dec 31, 2022 | 637,000.00 |
| Sep 30, 2022 | 294,000.00 |
| Jun 30, 2022 | 328,000.00 |
| Mar 31, 2022 | 208,000.00 |
| Dec 31, 2021 | 356,000.00 |
| Sep 30, 2021 | 267,000.00 |
| Jun 30, 2021 | 246,000.00 |
API Access
F&M Bank Corp 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=FMBM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "professional-fees", "ticker": "FMBM", "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=FMBM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();