Dime Commercial Bancshares (DCOM) Cash from Operations (2010 - 2026)
Dime Commercial Bancshares (DCOM) posted Cash from Operations of $56.05 million for Q2 2026, up 143.0% from $23.06 million a year earlier and up 16.8% from the prior quarter.
Dime Commercial Bancshares (DCOM) Cash from Operations (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Cash from Operations at Dime Commercial Bancshares was $202.11 million, up 40.2% year-over-year; for FY2025, it was $186.57 million, up 88.3% from FY2024.
- Annual Cash from Operations shows a five-year compound annual growth rate of 25.5% (FY2020 to FY2025).
- In prior years, Dime Commercial Bancshares' Cash from Operations was $99.06 million in FY2024 (+9.0%), $90.87 million in FY2023 (-69.2%), $295.17 million in FY2022 (+101.7%) and $146.33 million in FY2021 (+144.2%).
- The Q2 2026 figure stands as the highest quarterly Cash from Operations since Q1 2025.
- On a year-over-year basis, Cash from Operations increased in three of the last five quarters, with growth averaging 52.7%.
- The strongest year-over-year quarter for Cash from Operations in the past five years was Q3 2021, with growth of 316.4%; the weakest was Q1 2023, with a decline of 83.1%.
- According to Business Quant data, Cash from Operations for the three prior quarters was $47.97 million (Q1 2026), $45.99 million (Q4 2025) and $52.09 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash from Ops. (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 895.36 Bn | 924.83 Bn | - | -25.28 Bn |
| 2 | Banco Santander Chile | 425.01 Bn | 544.95 Bn | - | - |
| 3 | Bank Of America | 389.22 Bn | -1,986.85 Bn | - | 29.04 Bn |
| 4 | Hsbc Holdings | 347.56 Bn | 347.61 Bn | - | - |
| 5 | Morgan Stanley | 304.44 Bn | -204.66 Bn | - | -2.75 Bn |
| 6 | Royal Bank Of Canada | 281.54 Bn | 132.29 Bn | - | 25.17 Bn |
| 7 | Mitsubishi Ufj Financial | 277.23 Bn | -1,311.26 Bn | 10.89 Bn | - |
| 8 | Goldman Sachs | 267.12 Bn | -3,289.99 Bn | - | 6.11 Bn |
| 9 | Wells Fargo & Company | 244.76 Bn | 246.90 Bn | - | 6.78 Bn |
| 10 | Dime Commercial Bancshares | 1.75 Bn | 1.75 Bn | - | 56.05 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 56.05 Mn |
| Mar 31, 2026 | 47.97 Mn |
| Dec 31, 2025 | 45.99 Mn |
| Sep 30, 2025 | 52.09 Mn |
| Jun 30, 2025 | 23.06 Mn |
| Mar 31, 2025 | 65.42 Mn |
| Dec 31, 2024 | 89.02 Mn |
| Sep 30, 2024 | -33.32 Mn |
| Jun 30, 2024 | 12.62 Mn |
| Mar 31, 2024 | 30.74 Mn |
| Dec 31, 2023 | -40.04 Mn |
| Sep 30, 2023 | 86.30 Mn |
| Jun 30, 2023 | 31.20 Mn |
| Mar 31, 2023 | 13.42 Mn |
| Dec 31, 2022 | 47.72 Mn |
| Sep 30, 2022 | 100.04 Mn |
| Jun 30, 2022 | 67.79 Mn |
| Mar 31, 2022 | 79.62 Mn |
| Dec 31, 2021 | -12.96 Mn |
| Sep 30, 2021 | 101.56 Mn |
Dime Commercial Bancshares Cash from Operations 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-from-operations&ticker=DCOM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-from-operations", "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-from-operations&ticker=DCOM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();