First United Corp/Md/ (FUNC) Provision for Losses (2010 - 2026)
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Analysis
First United Corp/Md/ (FUNC) Provision for Losses (2010 - 2026) Analysis & Trends
Peer Set
Peer Comparison
Historic Data
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Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 781,000.00 |
| Mar 31, 2026 | 879,000.00 |
| Dec 31, 2025 | 717,000.00 |
| Sep 30, 2025 | 510,000.00 |
| Jun 30, 2025 | 860,000.00 |
| Mar 31, 2025 | 657,000.00 |
| Dec 31, 2024 | 526,000.00 |
| Sep 30, 2024 | 264,000.00 |
| Jun 30, 2024 | 1.25 Mn |
| Mar 31, 2024 | 961,000.00 |
| Dec 31, 2023 | 499,000.00 |
| Sep 30, 2023 | 322,000.00 |
| Jun 30, 2023 | 434,000.00 |
| Mar 31, 2023 | 543,000.00 |
| Dec 31, 2022 | -752,000.00 |
| Sep 30, 2022 | -108,000.00 |
| Jun 30, 2022 | 631,000.00 |
| Mar 31, 2022 | -419,000.00 |
| Dec 31, 2021 | -885,000.00 |
| Sep 30, 2021 | -597,000.00 |
API Access
First United Corp/Md/ Provision for Losses 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=provision-for-losses&ticker=FUNC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "provision-for-losses", "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=provision-for-losses&ticker=FUNC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();