First United Corp/Md/ (FUNC) Marketing and Advertising (2017 - 2026)
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Analysis
First United Corp/Md/ (FUNC) Marketing and Advertising (2017 - 2026) Analysis & Trends
Peer Set
Peer Comparison
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 193,000.00 |
| Mar 31, 2026 | 234,000.00 |
| Dec 31, 2025 | 288,000.00 |
| Sep 30, 2025 | 182,000.00 |
| Jun 30, 2025 | 196,000.00 |
| Mar 31, 2025 | 238,000.00 |
| Dec 31, 2024 | 205,000.00 |
| Sep 30, 2024 | 151,000.00 |
| Jun 30, 2024 | 184,000.00 |
| Mar 31, 2024 | 134,000.00 |
| Dec 31, 2023 | 311,000.00 |
| Sep 30, 2023 | 242,000.00 |
| Jun 30, 2023 | 160,000.00 |
| Mar 31, 2023 | 120,000.00 |
| Dec 31, 2022 | 134,000.00 |
| Sep 30, 2022 | 152,000.00 |
| Jun 30, 2022 | 151,000.00 |
| Mar 31, 2022 | 106,000.00 |
| Dec 31, 2021 | 127,000.00 |
| Sep 30, 2021 | 129,000.00 |
API Access
First United Corp/Md/ Marketing and Advertising 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=marketing-and-advertising&ticker=FUNC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "marketing-and-advertising", "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=marketing-and-advertising&ticker=FUNC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();