Fidelity D & D Bancorp Inc (FDBC) Technology and Communications (2014 - 2026)
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Analysis
Fidelity D & D Bancorp Inc (FDBC) Technology and Communications (2014 - 2026) Analysis & Trends
Peer Set
Peer Comparison
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 849,000.00 |
| Mar 31, 2026 | 731,000.00 |
| Dec 31, 2025 | 773,000.00 |
| Sep 30, 2025 | 740,000.00 |
| Jun 30, 2025 | 732,000.00 |
| Mar 31, 2025 | 728,000.00 |
| Dec 31, 2024 | 709,000.00 |
| Sep 30, 2024 | 707,000.00 |
| Jun 30, 2024 | 714,000.00 |
| Mar 31, 2024 | 742,000.00 |
| Dec 31, 2023 | 635,000.00 |
| Sep 30, 2023 | 765,000.00 |
| Jun 30, 2023 | 699,000.00 |
| Mar 31, 2023 | 677,000.00 |
| Dec 31, 2022 | 641,000.00 |
| Sep 30, 2022 | 663,000.00 |
| Jun 30, 2022 | 618,000.00 |
| Mar 31, 2022 | 712,000.00 |
| Dec 31, 2021 | 579,000.00 |
| Sep 30, 2021 | 745,000.00 |
API Access
Fidelity D & D Bancorp Inc Technology and Communications 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=technology-and-communications&ticker=FDBC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "technology-and-communications", "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=technology-and-communications&ticker=FDBC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();