First United Corp/Md/ (FUNC) Professional Fees (2014 - 2026)
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Analysis
First United Corp/Md/ (FUNC) Professional Fees (2014 - 2026) Analysis & Trends
Peer Set
Peer Comparison
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.70 Mn |
| Mar 31, 2026 | 570,000.00 |
| Dec 31, 2025 | 745,000.00 |
| Sep 30, 2025 | 639,000.00 |
| Jun 30, 2025 | 589,000.00 |
| Mar 31, 2025 | 476,000.00 |
| Dec 31, 2024 | 536,000.00 |
| Sep 30, 2024 | 477,000.00 |
| Jun 30, 2024 | 449,000.00 |
| Mar 31, 2024 | 486,000.00 |
| Dec 31, 2023 | 631,000.00 |
| Sep 30, 2023 | 488,000.00 |
| Jun 30, 2023 | 520,000.00 |
| Mar 31, 2023 | 494,000.00 |
| Dec 31, 2022 | 665,000.00 |
| Sep 30, 2022 | -211,000.00 |
| Jun 30, 2022 | 564,000.00 |
| Mar 31, 2022 | 520,000.00 |
| Dec 31, 2021 | 656,000.00 |
| Sep 30, 2021 | 615,000.00 |
API Access
First United Corp/Md/ 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=FUNC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "professional-fees", "ticker": "FUNC", "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=FUNC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();