Fidelity D & D Bancorp Inc (FDBC) Marketing and Advertising (2010 - 2026)
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Analysis
Fidelity D & D Bancorp Inc (FDBC) Marketing and Advertising (2010 - 2026) Analysis & Trends
Peer Set
Peer Comparison
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 437,000.00 |
| Mar 31, 2026 | 1.25 Mn |
| Dec 31, 2025 | 1.25 Mn |
| Sep 30, 2025 | 413,000.00 |
| Jun 30, 2025 | 602,000.00 |
| Mar 31, 2025 | 1.04 Mn |
| Dec 31, 2024 | 1.24 Mn |
| Sep 30, 2024 | 493,000.00 |
| Jun 30, 2024 | 413,000.00 |
| Mar 31, 2024 | 732,000.00 |
| Dec 31, 2023 | 1.34 Mn |
| Sep 30, 2023 | 461,000.00 |
| Jun 30, 2023 | 478,000.00 |
| Mar 31, 2023 | 893,000.00 |
| Dec 31, 2022 | 1.36 Mn |
| Sep 30, 2022 | 753,000.00 |
| Jun 30, 2022 | 489,000.00 |
| Mar 31, 2022 | 781,000.00 |
| Dec 31, 2021 | 1.43 Mn |
| Sep 30, 2021 | 668,000.00 |
API Access
Fidelity D & D Bancorp Inc 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=FDBC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "marketing-and-advertising", "ticker": "FDBC", "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=FDBC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();