First United Corp/Md/ (FUNC) Short-Term Borrowings (2012 - 2026)
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Analysis
First United Corp/Md/ (FUNC) Short-Term Borrowings (2012 - 2026) Analysis & Trends
Peer Set
Peer Comparison
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 69.23 Mn |
| Mar 31, 2026 | 19.59 Mn |
| Dec 31, 2025 | 17.66 Mn |
| Sep 30, 2025 | 20.21 Mn |
| Jun 30, 2025 | 50.95 Mn |
| Mar 31, 2025 | 20.34 Mn |
| Dec 31, 2024 | 65.41 Mn |
| Sep 30, 2024 | 50.21 Mn |
| Jun 30, 2024 | 62.56 Mn |
| Mar 31, 2024 | 79.49 Mn |
| Dec 31, 2023 | 45.42 Mn |
| Sep 30, 2023 | 53.33 Mn |
| Jun 30, 2023 | 50.08 Mn |
| Mar 31, 2023 | 52.03 Mn |
| Dec 31, 2022 | 64.57 Mn |
| Sep 30, 2022 | 89.73 Mn |
| Jun 30, 2022 | 69.91 Mn |
| Mar 31, 2022 | 58.90 Mn |
| Dec 31, 2021 | 57.70 Mn |
| Sep 30, 2021 | 72.40 Mn |
API Access
First United Corp/Md/ Short-Term Borrowings 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=short-term-borrowings&ticker=FUNC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "short-term-borrowings", "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=short-term-borrowings&ticker=FUNC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();