Fidelity D & D Bancorp (FDBC) Retained Earnings (2010 - 2026)
Fidelity D & D Bancorp (FDBC) recorded Retained Earnings of $169.08 million in Q2 2026, up 14.0% from $148.37 million a year earlier and up 3.2% from the prior quarter.
Fidelity D & D Bancorp (FDBC) Retained Earnings (2010 - 2026) Analysis & Trends
At the end of FY2025, Fidelity D & D Bancorp reported Retained Earnings of $158.81 million, up 13.3% from FY2024.
- Annual Retained Earnings has increased for 14 straight years, with a five-year compound annual growth rate of 14.7% (FY2020 to FY2025).
- Across earlier years, Retained Earnings came in at $140.11 million in FY2024 (+9.2%), $128.25 million in FY2023 (+7.1%), $119.75 million in FY2022 (+22.9%) and $97.44 million in FY2021 (+21.7%).
- The Q2 2026 figure is the highest quarterly Retained Earnings in data going back to Q4 2010.
- On a year-over-year basis, Retained Earnings has increased for 57 consecutive quarters, with growth averaging 11.0% over the last eight quarters.
- Across the past five years, year-over-year growth in Retained Earnings ran from 5.1% in Q3 2024 to 25.3% in Q3 2022.
- Per Business Quant, the preceding three quarters came in at $163.75 million (Q1 2026), $158.81 million (Q4 2025) and $153.38 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Retained Earnings (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 895.36 Bn | 924.83 Bn | - | 445.02 Bn |
| 2 | Banco Santander Chile | 425.01 Bn | 544.95 Bn | - | 661.60 Bn |
| 3 | Bank Of America | 389.22 Bn | -1,986.85 Bn | - | 274.52 Bn |
| 4 | Hsbc Holdings | 347.56 Bn | 347.61 Bn | - | 21.39 Bn |
| 5 | Morgan Stanley | 304.44 Bn | -204.66 Bn | - | 122.77 Bn |
| 6 | Royal Bank Of Canada | 281.54 Bn | 132.29 Bn | - | 74.21 Bn |
| 7 | Mitsubishi Ufj Financial | 277.23 Bn | -1,311.26 Bn | 10.89 Bn | 102.78 Bn |
| 8 | Goldman Sachs | 267.12 Bn | -3,289.99 Bn | - | 174.35 Bn |
| 9 | Wells Fargo & Company | 244.76 Bn | 246.90 Bn | - | 237.23 Bn |
| 10 | Fidelity D & D Bancorp | 318.54 Mn | -334.34 Mn | - | 169.08 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 169.08 Mn |
| Mar 31, 2026 | 163.75 Mn |
| Dec 31, 2025 | 158.81 Mn |
| Sep 30, 2025 | 153.38 Mn |
| Jun 30, 2025 | 148.37 Mn |
| Mar 31, 2025 | 143.78 Mn |
| Dec 31, 2024 | 140.11 Mn |
| Sep 30, 2024 | 136.60 Mn |
| Jun 30, 2024 | 133.84 Mn |
| Mar 31, 2024 | 131.11 Mn |
| Dec 31, 2023 | 128.25 Mn |
| Sep 30, 2023 | 129.98 Mn |
| Jun 30, 2023 | 126.71 Mn |
| Mar 31, 2023 | 123.42 Mn |
| Dec 31, 2022 | 119.75 Mn |
| Sep 30, 2022 | 114.66 Mn |
| Jun 30, 2022 | 108.85 Mn |
| Mar 31, 2022 | 103.07 Mn |
| Dec 31, 2021 | 97.44 Mn |
| Sep 30, 2021 | 91.53 Mn |
Fidelity D & D Bancorp Retained Earnings 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=retained-earnings&ticker=FDBC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "retained-earnings", "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=retained-earnings&ticker=FDBC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();