Dime Commercial Bancshares (DCOM) Consolidated Net Income (2010 - 2026)
Dime Commercial Bancshares (DCOM) reported Consolidated Net Income of $34.81 million for Q2 2026, up 17.2% from $29.7 million a year earlier and up 0.7% from the prior quarter.
Dime Commercial Bancshares (DCOM) Consolidated Net Income (2010 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Dime Commercial Bancshares' Consolidated Net Income came in at $128.92 million, up 192.5% year-over-year; for FY2025, it was $64.8 million, up 59.3% from FY2024.
- Consolidated Net Income has a five-year compound annual growth rate of 20.2% (FY2020 to FY2025).
- By year, Consolidated Net Income came in at $40.69 million in FY2024 (-28.4%), $56.81 million in FY2023 (-34.6%), $86.89 million in FY2022 (+662.2%) and $11.4 million in FY2021 (-55.9%).
- The Q2 2026 figure ranks as the highest quarterly Consolidated Net Income since Q1 2023.
- Year over year, Consolidated Net Income gained in five of the last six quarters, with growth averaging 42.8%.
- The high point for year-over-year Consolidated Net Income in five years was Q4 2021 (growth of 293.9%); the low point was Q3 2023 (a decline of 62.0%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $34.58 million (Q1 2026), $31.86 million (Q4 2025) and $27.67 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Consol Net Inc. (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 879.54 Bn | 909.01 Bn | - | 21.16 Bn |
| 2 | Banco Santander Chile | 418.48 Bn | 538.42 Bn | - | 228.63 Bn |
| 3 | Bank Of America | 381.92 Bn | -1,994.15 Bn | - | 9.07 Bn |
| 4 | Hsbc Holdings | 341.10 Bn | 341.15 Bn | - | - |
| 5 | Morgan Stanley | 295.71 Bn | -213.38 Bn | - | 5.65 Bn |
| 6 | Royal Bank Of Canada | 275.38 Bn | 126.13 Bn | - | 4.32 Bn |
| 7 | Mitsubishi Ufj Financial | 273.79 Bn | -1,314.70 Bn | 10.89 Bn | 5.85 Bn |
| 8 | Goldman Sachs | 262.78 Bn | -3,294.34 Bn | - | 6.63 Bn |
| 9 | Wells Fargo & Company | 242.61 Bn | 244.75 Bn | - | 6.65 Bn |
| 10 | Dime Commercial Bancshares | 1.74 Bn | 1.74 Bn | - | 34.81 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 34.81 Mn |
| Mar 31, 2026 | 34.58 Mn |
| Dec 31, 2025 | 31.86 Mn |
| Sep 30, 2025 | 27.67 Mn |
| Jun 30, 2025 | 29.70 Mn |
| Mar 31, 2025 | 21.46 Mn |
| Dec 31, 2024 | -20.41 Mn |
| Sep 30, 2024 | 13.33 Mn |
| Jun 30, 2024 | 18.48 Mn |
| Mar 31, 2024 | 17.69 Mn |
| Dec 31, 2023 | 16.31 Mn |
| Sep 30, 2023 | 14.99 Mn |
| Jun 30, 2023 | 27.50 Mn |
| Mar 31, 2023 | 37.30 Mn |
| Dec 31, 2022 | 40.06 Mn |
| Sep 30, 2022 | 39.48 Mn |
| Jun 30, 2022 | 38.49 Mn |
| Mar 31, 2022 | 34.53 Mn |
| Dec 31, 2021 | 35.36 Mn |
| Sep 30, 2021 | 38.40 Mn |
Dime Commercial Bancshares Consolidated Net Income 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=consolidated-net-income&ticker=DCOM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "consolidated-net-income", "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=consolidated-net-income&ticker=DCOM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();