Dime Commercial Bancshares (DCOM) EBITDA (2010 - 2026)
Dime Commercial Bancshares' EBITDA was $109.2 million in Q2 2026, down 1.6% from $110.96 million a year earlier and down 1.6% from the prior quarter.
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Analysis
Dime Commercial Bancshares (DCOM) EBITDA (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, Dime Commercial Bancshares' EBITDA was $451.38 million through Jun 30, 2026, up 21.4% year-over-year; for FY2025, it came in at $439.91 million, up 12.7% from FY2024.
- EBITDA shows a five-year compound annual growth rate of 30.5% (FY2020 to FY2025).
- In earlier years, EBITDA was $390.43 million in FY2024 (-10.7%), $437.12 million in FY2023 (+55.3%), $281.49 million in FY2022 (+51.7%) and $185.61 million in FY2021 (+59.5%).
- The Q2 2026 figure marks the lowest quarterly EBITDA since Q1 2025.
- Compared with a year earlier, EBITDA was higher in three of the last eight quarters, with growth averaging 6.9%.
- The best year-over-year quarter for EBITDA over five years was Q4 2021 (growth of 221.5%); the worst was Q4 2024 (a decline of 47.3%).
- Per Business Quant data, DCOM's EBITDA in the three quarters before Q2 2026 was $110.93 million (Q1 2026), $117.38 million (Q4 2025) and $113.87 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 895.36 Bn | 924.83 Bn | - | 54.95 Bn |
| 2 | Banco Santander Chile | 425.01 Bn | 544.95 Bn | - | -1,174.27 Bn |
| 3 | Bank Of America | 389.22 Bn | -1,986.85 Bn | - | 30.01 Bn |
| 4 | Hsbc Holdings | 347.56 Bn | 347.61 Bn | - | - |
| 5 | Morgan Stanley | 304.44 Bn | -204.66 Bn | - | 21.67 Bn |
| 6 | Royal Bank Of Canada | 281.54 Bn | 132.29 Bn | - | 18.88 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 | - | 27.17 Bn |
| 9 | Wells Fargo & Company | 244.76 Bn | 246.90 Bn | - | 20.89 Bn |
| 10 | Dime Commercial Bancshares | 1.75 Bn | 1.75 Bn | - | 109.20 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 109.20 Mn |
| Mar 31, 2026 | 110.93 Mn |
| Dec 31, 2025 | 117.38 Mn |
| Sep 30, 2025 | 113.87 Mn |
| Jun 30, 2025 | 110.96 Mn |
| Mar 31, 2025 | 97.70 Mn |
| Dec 31, 2024 | 58.87 Mn |
| Sep 30, 2024 | 104.34 Mn |
| Jun 30, 2024 | 111.59 Mn |
| Mar 31, 2024 | 115.64 Mn |
| Dec 31, 2023 | 111.75 Mn |
| Sep 30, 2023 | 106.29 Mn |
| Jun 30, 2023 | 111.22 Mn |
| Mar 31, 2023 | 107.83 Mn |
| Dec 31, 2022 | 90.64 Mn |
| Sep 30, 2022 | 71.49 Mn |
| Jun 30, 2022 | 63.18 Mn |
| Mar 31, 2022 | 56.18 Mn |
| Dec 31, 2021 | 59.91 Mn |
| Sep 30, 2021 | 63.60 Mn |
API Access
Dime Commercial Bancshares EBITDA 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=ebitda&ticker=DCOM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=DCOM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();