Fidelity D & D Bancorp (FDBC) Change in Net Loans (2010 - 2026)
Fidelity D & D Bancorp's Change in Net Loans was $65.5 million in Q2 2026, up 167.1% from $24.52 million a year earlier but down 42.1% from the prior quarter.
Fidelity D & D Bancorp (FDBC) Change in Net Loans (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, Fidelity D & D Bancorp's Change in Net Loans was $256.82 million through Jun 30, 2026, up 116.3% year-over-year; for FY2025, it came in at $122.5 million, up 2.9% from FY2024.
- Change in Net Loans shows a five-year compound annual growth rate of -1.6% (FY2020 to FY2025).
- In earlier years, Change in Net Loans was $118.99 million in FY2024 (-2.5%), $122.03 million in FY2023 (+5.2%), $116.06 million in FY2022 and -$7.13 million in FY2021.
- Quarterly Change in Net Loans has moved between -$31.56 million (Q3 2021) and $113.16 million (Q1 2026) over five years.
- Compared with a year earlier, Change in Net Loans was higher in five of the last seven quarters, with growth averaging 130.8%.
- The best year-over-year quarter for Change in Net Loans over five years was Q2 2024 (growth of 774.1%); the worst was Q4 2024 (a decline of 84.4%).
- Per Business Quant data, FDBC's Change in Net Loans in the three quarters before Q2 2026 was $113.16 million (Q1 2026), -$1.41 million (Q4 2025) and $79.57 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change in Net Loans (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 879.54 Bn | 909.01 Bn | - | - |
| 2 | Banco Santander Chile | 418.48 Bn | 538.42 Bn | - | - |
| 3 | Bank Of America | 381.92 Bn | -1,994.15 Bn | - | - |
| 4 | Hsbc Holdings | 341.10 Bn | 341.15 Bn | - | - |
| 5 | Morgan Stanley | 295.71 Bn | -213.38 Bn | - | 12.69 Bn |
| 6 | Royal Bank Of Canada | 275.38 Bn | 126.13 Bn | - | -22.01 Bn |
| 7 | Mitsubishi Ufj Financial | 273.79 Bn | -1,314.70 Bn | 10.89 Bn | - |
| 8 | Goldman Sachs | 262.78 Bn | -3,294.34 Bn | - | 7.29 Bn |
| 9 | Wells Fargo & Company | 242.61 Bn | 244.75 Bn | - | -19.63 Bn |
| 10 | Fidelity D & D Bancorp | 315.46 Mn | -337.42 Mn | - | 65.50 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 65.50 Mn |
| Mar 31, 2026 | 113.16 Mn |
| Dec 31, 2025 | -1.41 Mn |
| Sep 30, 2025 | 79.57 Mn |
| Jun 30, 2025 | 24.52 Mn |
| Mar 31, 2025 | 19.81 Mn |
| Dec 31, 2024 | 6.07 Mn |
| Sep 30, 2024 | 68.31 Mn |
| Jun 30, 2024 | 31.72 Mn |
| Mar 31, 2024 | 12.88 Mn |
| Dec 31, 2023 | 38.81 Mn |
| Sep 30, 2023 | 16.51 Mn |
| Jun 30, 2023 | 3.63 Mn |
| Mar 31, 2023 | 63.08 Mn |
| Dec 31, 2022 | 42.64 Mn |
| Sep 30, 2022 | 32.68 Mn |
| Jun 30, 2022 | 13.48 Mn |
| Mar 31, 2022 | 27.25 Mn |
| Dec 31, 2021 | 11.58 Mn |
| Sep 30, 2021 | -31.56 Mn |
Fidelity D & D Bancorp Change in Net Loans 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=change-in-net-loans&ticker=FDBC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-net-loans", "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=change-in-net-loans&ticker=FDBC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();