Fidelity D & D Bancorp (FDBC) Accumulated Expenses (2010 - 2026)
Fidelity D & D Bancorp (FDBC) posted Accumulated Expenses of $22.76 million for Q2 2026, down 15.9% from $27.06 million a year earlier but up 7.5% from the prior quarter.
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Analysis
Fidelity D & D Bancorp (FDBC) Accumulated Expenses (2010 - 2026) Analysis & Trends
At the end of FY2025, Fidelity D & D Bancorp's Accumulated Expenses came in at $23.68 million, up 8.9% from FY2024.
- Annual Accumulated Expenses has increased for six consecutive years, with a five-year compound annual growth rate of 17.9% (FY2020 to FY2025).
- In prior years, Fidelity D & D Bancorp's Accumulated Expenses was $21.75 million in FY2024 (+7.7%), $20.19 million in FY2023 (+15.8%), $17.43 million in FY2022 (+9.4%) and $15.94 million in FY2021 (+53.3%).
- Quarterly Accumulated Expenses has run from a low of $14.09 million in Q1 2022 to a high of $27.06 million in Q2 2025 over five years.
- On a year-over-year basis, Accumulated Expenses increased in five of the last eight quarters, with growth averaging 13.7%.
- The strongest year-over-year quarter for Accumulated Expenses in the past five years was Q4 2021, with growth of 53.3%; the weakest was Q1 2022, with a decline of 25.0%.
- According to Business Quant data, Accumulated Expenses for the three prior quarters was $21.16 million (Q1 2026), $23.68 million (Q4 2025) and $22.42 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (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 | - |
| 6 | Royal Bank Of Canada | 275.38 Bn | 126.13 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 | - |
| 9 | Wells Fargo & Company | 242.61 Bn | 244.75 Bn | - |
| 10 | Fidelity D & D Bancorp | 315.46 Mn | -337.42 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 22.76 Mn |
| Mar 31, 2026 | 21.16 Mn |
| Dec 31, 2025 | 23.68 Mn |
| Sep 30, 2025 | 22.42 Mn |
| Jun 30, 2025 | 27.06 Mn |
| Mar 31, 2025 | 23.75 Mn |
| Dec 31, 2024 | 21.75 Mn |
| Sep 30, 2024 | 22.85 Mn |
| Jun 30, 2024 | 18.49 Mn |
| Mar 31, 2024 | 16.99 Mn |
| Dec 31, 2023 | 20.19 Mn |
| Sep 30, 2023 | 16.86 Mn |
| Jun 30, 2023 | 16.44 Mn |
| Mar 31, 2023 | 15.85 Mn |
| Dec 31, 2022 | 17.43 Mn |
| Sep 30, 2022 | 17.68 Mn |
| Jun 30, 2022 | 16.25 Mn |
| Mar 31, 2022 | 14.09 Mn |
| Dec 31, 2021 | 15.94 Mn |
| Sep 30, 2021 | 15.96 Mn |
API Access
Fidelity D & D Bancorp Accumulated Expenses 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=accumulated-expenses&ticker=FDBC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "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=accumulated-expenses&ticker=FDBC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();