First United Corp/Md/ (FUNC) Change in Accrued Expenses (2010 - 2026)
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Analysis
First United Corp/Md/ (FUNC) Change in Accrued Expenses (2010 - 2026) Analysis & Trends
Peer Set
Peer Comparison
Historic Data
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Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.57 Mn |
| Mar 31, 2026 | -2.71 Mn |
| Dec 31, 2025 | 4.93 Mn |
| Sep 30, 2025 | -545,000.00 |
| Jun 30, 2025 | -1.12 Mn |
| Mar 31, 2025 | -1.38 Mn |
| Dec 31, 2024 | 1.91 Mn |
| Sep 30, 2024 | -3.68 Mn |
| Jun 30, 2024 | 358,000.00 |
| Mar 31, 2024 | -2.91 Mn |
| Dec 31, 2023 | 3.44 Mn |
| Sep 30, 2023 | 1.83 Mn |
| Jun 30, 2023 | 2.27 Mn |
| Mar 31, 2023 | -1.30 Mn |
| Dec 31, 2022 | -9.83 Mn |
| Sep 30, 2022 | 5.57 Mn |
| Jun 30, 2022 | 6.67 Mn |
| Mar 31, 2022 | -3.14 Mn |
| Dec 31, 2021 | 2.49 Mn |
| Sep 30, 2021 | 454,000.00 |
API Access
First United Corp/Md/ Change in Accrued Expenses 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=change-in-accrued-expenses&ticker=FUNC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accrued-expenses", "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=change-in-accrued-expenses&ticker=FUNC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();