Fidelity D & D Bancorp (FDBC) Total Liabilities (2009 - 2026)
Fidelity D & D Bancorp (FDBC) recorded Total Liabilities of $2.78 billion in Q3 2026, up 10.9% from $2.51 billion a year earlier and up 2.3% from the prior quarter.
Fidelity D & D Bancorp (FDBC) Total Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025, Fidelity D & D Bancorp reported Total Liabilities of $2.51 billion, up 5.4% from FY2024.
- Annual Total Liabilities has increased for 13 straight years, with a five-year compound annual growth rate of 10.4% (FY2020 to FY2025).
- Across earlier years, Total Liabilities came in at $2.38 billion in FY2024 (+2.9%), $2.31 billion in FY2023 (+4.4%), $2.22 billion in FY2022 (+0.4%) and $2.21 billion in FY2021 (+44.0%).
- The Q3 2026 figure is the highest quarterly Total Liabilities in data going back to Q4 2010.
- On a year-over-year basis, Total Liabilities has increased for 54 consecutive quarters, with growth averaging 6.9% over the last eight quarters.
- The year-over-year growth in Total Liabilities has ranged between 0.4% (Q4 2022) and 44.0% (Q4 2021) over the last five years.
- Per Business Quant, the preceding three quarters came in at $2.72 billion (Q2 2026), $2.61 billion (Q1 2026) and $2.51 billion (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 909.02 Bn | 886.77 Bn | - | 4,719.18 Bn |
| 2 | Banco Santander Chile | 406.67 Bn | -7,110.43 Bn | - | 69.48 Bn |
| 3 | Bank Of America | 350.91 Bn | -2,025.20 Bn | - | 3,130.96 Bn |
| 4 | Hsbc Holdings | 308.71 Bn | -2,966.46 Bn | - | 3,248.55 Bn |
| 5 | Morgan Stanley | 293.66 Bn | -249.15 Bn | - | 1,573.71 Bn |
| 6 | Royal Bank Of Canada | 283.56 Bn | -546.44 Bn | - | 1,679.93 Bn |
| 7 | Goldman Sachs | 262.71 Bn | -3,480.74 Bn | - | 2,055.50 Bn |
| 8 | Wells Fargo & Company | 257.44 Bn | 92.87 Bn | - | 2,075.41 Bn |
| 9 | Mitsubishi Ufj Financial | 256.82 Bn | -75.42 Bn | 10.89 Bn | 2,571.74 Bn |
| 10 | Fidelity D & D Bancorp | 399.16 Mn | -285.16 Mn | - | 2.78 Bn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 2.78 Bn |
| Jun 30, 2026 | 2.72 Bn |
| Mar 31, 2026 | 2.61 Bn |
| Dec 31, 2025 | 2.51 Bn |
| Sep 30, 2025 | 2.51 Bn |
| Jun 30, 2025 | 2.48 Bn |
| Mar 31, 2025 | 2.50 Bn |
| Dec 31, 2024 | 2.38 Bn |
| Sep 30, 2024 | 2.41 Bn |
| Jun 30, 2024 | 2.30 Bn |
| Mar 31, 2024 | 2.28 Bn |
| Dec 31, 2023 | 2.31 Bn |
| Sep 30, 2023 | 2.31 Bn |
| Jun 30, 2023 | 2.26 Bn |
| Mar 31, 2023 | 2.27 Bn |
| Dec 31, 2022 | 2.22 Bn |
| Sep 30, 2022 | 2.29 Bn |
| Jun 30, 2022 | 2.25 Bn |
| Mar 31, 2022 | 2.25 Bn |
| Dec 31, 2021 | 2.21 Bn |
Fidelity D & D Bancorp Total Liabilities 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=total-liabilities&ticker=FDBC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=FDBC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();