Dime Commercial Bancshares (DCOM) Total Liabilities (2010 - 2026)
Dime Commercial Bancshares' Total Liabilities was $13.52 billion in Q2 2026, up 5.8% from $12.78 billion a year earlier and up 0.1% from the prior quarter.
Dime Commercial Bancshares (DCOM) Total Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025, Total Liabilities at Dime Commercial Bancshares came in at $13.87 billion, up 7.0% from FY2024.
- Total Liabilities has now increased for 15 consecutive years, with a five-year compound annual growth rate of 17.9% (FY2020 to FY2025).
- In earlier years, Total Liabilities was $12.96 billion in FY2024 (+4.4%), $12.41 billion in FY2023 (+3.2%), $12.02 billion in FY2022 (+10.5%) and $10.87 billion in FY2021 (+78.8%).
- Quarterly Total Liabilities has moved between $10.87 billion (Q4 2021) and $13.87 billion (Q4 2025) over five years.
- Compared with a year earlier, Total Liabilities has increased for eight straight quarters, with growth averaging 4.5% over the last eight quarters.
- The best year-over-year quarter for Total Liabilities over five years was Q3 2021 (growth of 98.3%); the worst was Q1 2022 (a decline of 7.8%).
- Per Business Quant data, DCOM's Total Liabilities in the three quarters before Q2 2026 was $13.5 billion (Q1 2026), $13.87 billion (Q4 2025) and $13.09 billion (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 895.36 Bn | 924.83 Bn | - | 4,640.47 Bn |
| 2 | Banco Santander Chile | 425.01 Bn | 544.95 Bn | - | 62,410.98 Bn |
| 3 | Bank Of America | 389.22 Bn | -1,986.85 Bn | - | 3,198.10 Bn |
| 4 | Hsbc Holdings | 347.56 Bn | 347.61 Bn | - | 413.71 Bn |
| 5 | Morgan Stanley | 304.44 Bn | -204.66 Bn | - | 1,557.62 Bn |
| 6 | Royal Bank Of Canada | 281.54 Bn | 132.29 Bn | - | 1,688.09 Bn |
| 7 | Mitsubishi Ufj Financial | 277.23 Bn | -1,311.26 Bn | 10.89 Bn | 2,612.60 Bn |
| 8 | Goldman Sachs | 267.12 Bn | -3,289.99 Bn | - | 2,004.97 Bn |
| 9 | Wells Fargo & Company | 244.76 Bn | 246.90 Bn | - | 2,099.88 Bn |
| 10 | Dime Commercial Bancshares | 1.75 Bn | 1.75 Bn | - | 13.52 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 13.52 Bn |
| Mar 31, 2026 | 13.50 Bn |
| Dec 31, 2025 | 13.87 Bn |
| Sep 30, 2025 | 13.09 Bn |
| Jun 30, 2025 | 12.78 Bn |
| Mar 31, 2025 | 12.69 Bn |
| Dec 31, 2024 | 12.96 Bn |
| Sep 30, 2024 | 12.48 Bn |
| Jun 30, 2024 | 12.30 Bn |
| Mar 31, 2024 | 12.26 Bn |
| Dec 31, 2023 | 12.41 Bn |
| Sep 30, 2023 | 12.45 Bn |
| Jun 30, 2023 | 12.60 Bn |
| Mar 31, 2023 | 12.65 Bn |
| Dec 31, 2022 | 12.02 Bn |
| Sep 30, 2022 | 11.75 Bn |
| Jun 30, 2022 | 11.21 Bn |
| Mar 31, 2022 | 10.92 Bn |
| Dec 31, 2021 | 10.87 Bn |
| Sep 30, 2021 | 11.16 Bn |
Dime Commercial Bancshares 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=DCOM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "ticker": "DCOM", "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=DCOM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();