Fidelity D & D Bancorp (FDBC) Operating Expenses (2010 - 2026)
Fidelity D & D Bancorp's Operating Expenses was $15.99 million in Q2 2026, up 8.7% from $14.71 million a year earlier and up 5.3% from the prior quarter.
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Analysis
Fidelity D & D Bancorp (FDBC) Operating Expenses (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, Fidelity D & D Bancorp's Operating Expenses was $60.74 million through Jun 30, 2026, up 5.6% year-over-year; for FY2025, it came in at $58.82 million, up 5.9% from FY2024.
- Operating Expenses has now increased for 15 consecutive years, with a five-year compound annual growth rate of 8.9% (FY2020 to FY2025).
- In earlier years, Operating Expenses was $55.54 million in FY2024 (+7.1%), $51.87 million in FY2023 (+1.0%), $51.36 million in FY2022 (+2.5%) and $50.11 million in FY2021 (+30.8%).
- The Q2 2026 figure marks the highest quarterly Operating Expenses in data going back to Q2 2010.
- Compared with a year earlier, Operating Expenses has increased for ten straight quarters, with growth averaging 7.2% over the last eight quarters.
- The best year-over-year quarter for Operating Expenses over five years was Q3 2021 (growth of 60.3%); the worst was Q3 2022 (a decline of 14.2%).
- Per Business Quant data, FDBC's Operating Expenses in the three quarters before Q2 2026 was $15.19 million (Q1 2026), $14.92 million (Q4 2025) and $14.63 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 895.36 Bn | 924.83 Bn | - | 27.32 Bn |
| 2 | Banco Santander Chile | 425.01 Bn | 544.95 Bn | - | -3,218.32 Bn |
| 3 | Bank Of America | 389.22 Bn | -1,986.85 Bn | - | 18.63 Bn |
| 4 | Hsbc Holdings | 347.56 Bn | 347.61 Bn | - | - |
| 5 | Morgan Stanley | 304.44 Bn | -204.66 Bn | - | 13.90 Bn |
| 6 | Royal Bank Of Canada | 281.54 Bn | 132.29 Bn | - | 7.02 Bn |
| 7 | Mitsubishi Ufj Financial | 277.23 Bn | -1,311.26 Bn | 10.89 Bn | 17.50 Bn |
| 8 | Goldman Sachs | 267.12 Bn | -3,289.99 Bn | - | 11.67 Bn |
| 9 | Wells Fargo & Company | 244.76 Bn | 246.90 Bn | - | 13.66 Bn |
| 10 | Fidelity D & D Bancorp | 318.54 Mn | -334.34 Mn | - | 15.99 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 15.99 Mn |
| Mar 31, 2026 | 15.19 Mn |
| Dec 31, 2025 | 14.92 Mn |
| Sep 30, 2025 | 14.63 Mn |
| Jun 30, 2025 | 14.71 Mn |
| Mar 31, 2025 | 14.55 Mn |
| Dec 31, 2024 | 14.40 Mn |
| Sep 30, 2024 | 13.84 Mn |
| Jun 30, 2024 | 13.62 Mn |
| Mar 31, 2024 | 13.69 Mn |
| Dec 31, 2023 | 12.80 Mn |
| Sep 30, 2023 | 12.78 Mn |
| Jun 30, 2023 | 13.43 Mn |
| Mar 31, 2023 | 12.86 Mn |
| Dec 31, 2022 | 12.85 Mn |
| Sep 30, 2022 | 13.03 Mn |
| Jun 30, 2022 | 12.81 Mn |
| Mar 31, 2022 | 12.67 Mn |
| Dec 31, 2021 | 12.62 Mn |
| Sep 30, 2021 | 15.19 Mn |
API Access
Fidelity D & D Bancorp Operating 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=operating-expenses&ticker=FDBC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-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=operating-expenses&ticker=FDBC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();