Fidelity D & D Bancorp (FDBC) Provision for Losses (2009 - 2026)
Fidelity D & D Bancorp's Provision for Losses was $1.11 million in Q3 2026, up 454.5% from $200,000 a year earlier and up 177.3% from the prior quarter.
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Analysis
Fidelity D & D Bancorp (FDBC) Provision for Losses (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Fidelity D & D Bancorp's Provision for Losses was $2.48 million through Sep 30, 2026, up 106.1% year-over-year; for FY2025, it came in at $1.06 million, down 20.4% from FY2024.
- Provision for Losses has now declined for three consecutive years, with a five-year compound annual growth rate of -27.5% (FY2020 to FY2025).
- In earlier years, Provision for Losses was $1.33 million in FY2024 (-11.1%), $1.49 million in FY2023 (-29.0%), $2.1 million in FY2022 (+5.0%) and $2 million in FY2021 (-61.9%).
- The Q3 2026 figure marks the highest quarterly Provision for Losses since Q4 2020.
- Compared with a year earlier, Provision for Losses has increased for three straight quarters, with growth averaging 106.0% over the last eight quarters.
- The best year-over-year quarter for Provision for Losses over five years was Q3 2026 (growth of 454.5%); the worst was Q4 2023 (a decline of 78.9%).
- Per Business Quant data, FDBC's Provision for Losses in the three quarters before Q3 2026 was $400,000 (Q2 2026), $875,000 (Q1 2026) and $100,000 (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Provision for Losses (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 909.02 Bn | 886.77 Bn | - | 2.74 Bn |
| 2 | Banco Santander Chile | 406.67 Bn | -7,110.43 Bn | - | - |
| 3 | Bank Of America | 350.91 Bn | -2,025.20 Bn | - | 1.30 Bn |
| 4 | Hsbc Holdings | 308.71 Bn | -2,966.46 Bn | - | - |
| 5 | Morgan Stanley | 293.66 Bn | -249.15 Bn | - | - |
| 6 | Royal Bank Of Canada | 283.56 Bn | -546.44 Bn | - | 717.20 Mn |
| 7 | Goldman Sachs | 262.71 Bn | -3,480.74 Bn | - | 368.00 Mn |
| 8 | Wells Fargo & Company | 257.44 Bn | 92.87 Bn | - | 1.03 Bn |
| 9 | Mitsubishi Ufj Financial | 256.82 Bn | -75.42 Bn | 10.89 Bn | - |
| 10 | Fidelity D & D Bancorp | 399.16 Mn | -285.16 Mn | - | 1.11 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 1.11 Mn |
| Jun 30, 2026 | 400,000.00 |
| Mar 31, 2026 | 875,000.00 |
| Dec 31, 2025 | 100,000.00 |
| Sep 30, 2025 | 200,000.00 |
| Jun 30, 2025 | 300,000.00 |
| Mar 31, 2025 | 455,000.00 |
| Dec 31, 2024 | 250,000.00 |
| Sep 30, 2024 | 675,000.00 |
| Jun 30, 2024 | 275,000.00 |
| Mar 31, 2024 | 125,000.00 |
| Dec 31, 2023 | 111,000.00 |
| Sep 30, 2023 | 525,000.00 |
| Jun 30, 2023 | 675,000.00 |
| Mar 31, 2023 | 180,000.00 |
| Dec 31, 2022 | 525,000.00 |
| Sep 30, 2022 | 525,000.00 |
| Jun 30, 2022 | 525,000.00 |
| Mar 31, 2022 | 525,000.00 |
| Dec 31, 2021 | 450,000.00 |
API Access
Fidelity D & D Bancorp Provision for Losses 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=provision-for-losses&ticker=FDBC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "provision-for-losses", "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=provision-for-losses&ticker=FDBC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();