Fidelity D & D Bancorp (FDBC) Change in Accured Expenses (2010 - 2026)
Fidelity D & D Bancorp (FDBC) reported Change in Accured Expenses of $1.86 million for Q2 2026, up 112.2% from $875,000 a year earlier.
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Analysis
Fidelity D & D Bancorp (FDBC) Change in Accured Expenses (2010 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Fidelity D & D Bancorp's Change in Accured Expenses came in at -$857,000; for FY2025, it was $2.08 million, down 23.2% from FY2024.
- Change in Accured Expenses has a five-year compound annual growth rate of 6.9% (FY2020 to FY2025).
- By year, Change in Accured Expenses came in at $2.71 million in FY2024 (+357.6%), $592,000 in FY2023 (-61.9%), $1.55 million in FY2022 (-46.8%) and $2.92 million in FY2021 (+95.6%).
- The Q2 2026 figure ranks as the highest quarterly Change in Accured Expenses since Q3 2024.
- Year over year, Change in Accured Expenses gained in three of the last five quarters, with growth averaging 241.5%.
- The high point for year-over-year Change in Accured Expenses in five years was Q4 2025 (growth of 759.4%); the low point was Q4 2024 (a decline of 85.8%).
- Per Business Quant data, the three quarters before Q2 2026 came in at -$2.15 million (Q1 2026), $1.42 million (Q4 2025) and -$1.98 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accured Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 886.05 Bn | 915.53 Bn | - | 22.64 Bn |
| 2 | Banco Santander Chile | 409.93 Bn | 529.88 Bn | - | - |
| 3 | Bank Of America | 377.01 Bn | -1,999.06 Bn | - | 27.13 Bn |
| 4 | Hsbc Holdings | 329.11 Bn | 329.16 Bn | - | - |
| 5 | Morgan Stanley | 295.54 Bn | -213.55 Bn | - | - |
| 6 | Royal Bank Of Canada | 273.59 Bn | 124.33 Bn | - | - |
| 7 | Mitsubishi Ufj Financial | 268.33 Bn | -1,320.16 Bn | 10.89 Bn | - |
| 8 | Goldman Sachs | 261.29 Bn | -3,295.82 Bn | - | - |
| 9 | Wells Fargo & Company | 243.13 Bn | 245.26 Bn | - | 14.35 Bn |
| 10 | Fidelity D & D Bancorp | 314.71 Mn | -338.17 Mn | - | 1.86 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.86 Mn |
| Mar 31, 2026 | -2.15 Mn |
| Dec 31, 2025 | 1.42 Mn |
| Sep 30, 2025 | -1.98 Mn |
| Jun 30, 2025 | 875,000.00 |
| Mar 31, 2025 | 1.77 Mn |
| Dec 31, 2024 | 165,000.00 |
| Sep 30, 2024 | 2.41 Mn |
| Jun 30, 2024 | 1.82 Mn |
| Mar 31, 2024 | -1.69 Mn |
| Dec 31, 2023 | 1.16 Mn |
| Sep 30, 2023 | 421,000.00 |
| Jun 30, 2023 | 597,000.00 |
| Mar 31, 2023 | -1.59 Mn |
| Dec 31, 2022 | -203,000.00 |
| Sep 30, 2022 | 1.43 Mn |
| Jun 30, 2022 | 2.17 Mn |
| Mar 31, 2022 | -1.84 Mn |
| Dec 31, 2021 | 1.41 Mn |
| Sep 30, 2021 | 1.39 Mn |
API Access
Fidelity D & D Bancorp Change in Accured 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=change-in-accured-expenses&ticker=FDBC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-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=change-in-accured-expenses&ticker=FDBC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();