First United Corp/Md/ (FUNC) Purchase of AFS Securities (2010 - 2026)
Analysis
First United Corp/Md/ (FUNC) Purchase of AFS Securities (2010 - 2026) Analysis & Trends
Peer Set
Peer Comparison
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.41 Mn |
| Mar 31, 2026 | 3.91 Mn |
| Dec 31, 2025 | 2.42 Mn |
| Sep 30, 2025 | 11.00 Mn |
| Jun 30, 2025 | 3.96 Mn |
| Mar 31, 2025 | 4.87 Mn |
| Sep 30, 2022 | 4.76 Mn |
| Mar 31, 2022 | 12.89 Mn |
| Dec 31, 2021 | 62.43 Mn |
| Sep 30, 2021 | 6.59 Mn |
| Jun 30, 2021 | 53.51 Mn |
| Mar 31, 2021 | 5.01 Mn |
| Dec 31, 2020 | 91.64 Mn |
| Sep 30, 2020 | 54.78 Mn |
| Jun 30, 2020 | 20.24 Mn |
| Mar 31, 2020 | 17.42 Mn |
| Dec 31, 2019 | 24.56 Mn |
| Sep 30, 2019 | 10.00 Mn |
| Jun 30, 2019 | 4.74 Mn |
| Sep 30, 2018 | 1.99 Mn |
API Access
First United Corp/Md/ Purchase of AFS Securities 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=purchase-of-afs-securities&ticker=FUNC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "purchase-of-afs-securities", "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=purchase-of-afs-securities&ticker=FUNC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();