First United Corp/Md/ (FUNC) Weighted Average Shares Outstanding (2010 - 2026)
Analysis
First United Corp/Md/ (FUNC) Weighted Average Shares Outstanding (2010 - 2026) Analysis & Trends
Peer Set
Peer Comparison
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 6.45 Mn |
| Mar 31, 2026 | 6.48 Mn |
| Dec 31, 2025 | 6.49 Mn |
| Sep 30, 2025 | 6.50 Mn |
| Jun 30, 2025 | 6.49 Mn |
| Mar 31, 2025 | 6.47 Mn |
| Dec 31, 2024 | 6.53 Mn |
| Sep 30, 2024 | 6.47 Mn |
| Jun 30, 2024 | 6.53 Mn |
| Mar 31, 2024 | 6.64 Mn |
| Dec 31, 2023 | 6.69 Mn |
| Sep 30, 2023 | 6.71 Mn |
| Jun 30, 2023 | 6.70 Mn |
| Mar 31, 2023 | 6.68 Mn |
| Dec 31, 2022 | 6.65 Mn |
| Sep 30, 2022 | 6.66 Mn |
| Jun 30, 2022 | 6.65 Mn |
| Mar 31, 2022 | 6.63 Mn |
| Dec 31, 2021 | 6.71 Mn |
| Sep 30, 2021 | 6.62 Mn |
API Access
First United Corp/Md/ Weighted Average Shares Outstanding 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=weighted-average-shares-outstanding&ticker=FUNC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "weighted-average-shares-outstanding", "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=weighted-average-shares-outstanding&ticker=FUNC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();