Dime Commercial Bancshares (DCOM) Cash Due from Bank (2010 - 2026)
Dime Commercial Bancshares' Cash Due from Bank came in at $2.18 billion for Q3 2026, up 27.4% from $1.72 billion a year earlier and up 12.9% from the prior quarter.
Dime Commercial Bancshares (DCOM) Cash Due from Bank (2010 - 2026) Analysis & Trends
At the end of FY2025, Dime Commercial Bancshares' Cash Due from Bank was $2.35 billion, up 83.4% from FY2024.
- Cash Due from Bank has increased in each of the last three years, with a five-year compound annual growth rate of 57.4% (FY2020 to FY2025).
- Going back by year, Cash Due from Bank was $1.28 billion in FY2024 (+180.5%), $457.55 million in FY2023 (+170.3%), $169.3 million in FY2022 (-57.0%) and $393.72 million in FY2021 (+61.6%).
- The five-year range for quarterly Cash Due from Bank is $169.3 million (Q4 2022) to $2.35 billion (Q4 2025).
- Year-over-year, Cash Due from Bank has increased for nine consecutive quarters, with growth averaging 123.7% over the last eight quarters.
- The fastest year-over-year change in Cash Due from Bank over five years came in Q4 2024 (growth of 180.5%), and the weakest in Q2 2022 (a decline of 76.2%).
- Business Quant data shows DCOM's Cash Due from Bank at $1.93 billion (Q2 2026), $2.06 billion (Q1 2026) and $2.35 billion (Q4 2025) in the three quarters before Q3 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash Due from Bank (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 896.53 Bn | 896.53 Bn | - | 21.26 Bn |
| 2 | Bank Of America | 354.20 Bn | -2,021.91 Bn | - | 26.91 Bn |
| 3 | Hsbc Holdings | 303.54 Bn | -1,800.05 Bn | - | 94.56 Bn |
| 4 | Royal Bank Of Canada | 283.29 Bn | -546.75 Bn | - | 45.78 Bn |
| 5 | Morgan Stanley | 281.19 Bn | -262.84 Bn | - | - |
| 6 | Goldman Sachs | 256.26 Bn | -3,487.19 Bn | - | - |
| 7 | Wells Fargo & Company | 253.33 Bn | 253.33 Bn | - | 40.56 Bn |
| 8 | Mitsubishi Ufj Financial | 238.77 Bn | -102.62 Bn | 10.89 Bn | 497.98 Bn |
| 9 | American Express | 216.03 Bn | 15.51 Bn | - | 3.67 Bn |
| 10 | Dime Commercial Bancshares | 1.83 Bn | 1.83 Bn | - | 2.18 Bn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 2.18 Bn |
| Jun 30, 2026 | 1.93 Bn |
| Mar 31, 2026 | 2.06 Bn |
| Dec 31, 2025 | 2.35 Bn |
| Sep 30, 2025 | 1.72 Bn |
| Jun 30, 2025 | 1.16 Bn |
| Mar 31, 2025 | 1.03 Bn |
| Dec 31, 2024 | 1.28 Bn |
| Sep 30, 2024 | 626.06 Mn |
| Jun 30, 2024 | 413.98 Mn |
| Mar 31, 2024 | 370.85 Mn |
| Dec 31, 2023 | 457.55 Mn |
| Sep 30, 2023 | 358.82 Mn |
| Jun 30, 2023 | 452.50 Mn |
| Mar 31, 2023 | 663.13 Mn |
| Dec 31, 2022 | 169.30 Mn |
| Sep 30, 2022 | 313.00 Mn |
| Jun 30, 2022 | 281.49 Mn |
| Mar 31, 2022 | 432.99 Mn |
| Dec 31, 2021 | 393.72 Mn |
Dime Commercial Bancshares Cash Due from Bank 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=cash-due-from-bank&ticker=DCOM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-due-from-bank", "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=cash-due-from-bank&ticker=DCOM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();