Dime Commercial Bancshares (DCOM) Goodwill & Intangibles (2011 - 2026)
Dime Commercial Bancshares (DCOM) recorded Goodwill & Intangibles of $158.14 million in Q3 2026, down 0.5% from $158.97 million a year earlier and down 0.1% from the prior quarter.
Dime Commercial Bancshares (DCOM) Goodwill & Intangibles (2011 - 2026) Analysis & Trends
At the end of FY2025, Dime Commercial Bancshares reported Goodwill & Intangibles of $158.74 million, down 0.6% from FY2024.
- Annual Goodwill & Intangibles has declined for four straight years, though with a five-year compound annual growth rate of 21.9% (FY2020 to FY2025).
- Across earlier years, Goodwill & Intangibles came in at $159.7 million in FY2024 (-0.7%), $160.86 million in FY2023 (-0.9%), $162.28 million in FY2022 (-1.1%) and $164.16 million in FY2021 (+178.2%).
- The Q3 2026 figure is the lowest quarterly Goodwill & Intangibles since Q4 2020.
- On a year-over-year basis, Goodwill & Intangibles has declined for 19 consecutive quarters, with an average decline of 0.6% over the last eight quarters.
- Peak year-over-year performance for Goodwill & Intangibles in the last five years was growth of 178.2% in Q4 2021, against a decline of 1.4% in Q1 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at $158.33 million (Q2 2026), $158.53 million (Q1 2026) and $158.74 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Jpmorgan Chase | 896.53 Bn | 896.53 Bn | - |
| 2 | Bank Of America | 354.20 Bn | -2,021.91 Bn | - |
| 3 | Hsbc Holdings | 303.54 Bn | -1,800.05 Bn | - |
| 4 | Royal Bank Of Canada | 283.29 Bn | -546.75 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 | - |
| 8 | Mitsubishi Ufj Financial | 238.77 Bn | -102.62 Bn | 10.89 Bn |
| 9 | American Express | 216.03 Bn | 15.51 Bn | - |
| 10 | Dime Commercial Bancshares | 1.83 Bn | 1.83 Bn | - |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 158.14 Mn |
| Jun 30, 2026 | 158.33 Mn |
| Mar 31, 2026 | 158.53 Mn |
| Dec 31, 2025 | 158.74 Mn |
| Sep 30, 2025 | 158.97 Mn |
| Jun 30, 2025 | 159.21 Mn |
| Mar 31, 2025 | 159.44 Mn |
| Dec 31, 2024 | 159.70 Mn |
| Sep 30, 2024 | 159.98 Mn |
| Jun 30, 2024 | 160.26 Mn |
| Mar 31, 2024 | 160.55 Mn |
| Dec 31, 2023 | 160.86 Mn |
| Sep 30, 2023 | 161.21 Mn |
| Jun 30, 2023 | 161.56 Mn |
| Mar 31, 2023 | 161.90 Mn |
| Dec 31, 2022 | 162.28 Mn |
| Sep 30, 2022 | 162.71 Mn |
| Jun 30, 2022 | 163.14 Mn |
| Mar 31, 2022 | 163.57 Mn |
| Dec 31, 2021 | 164.16 Mn |
Dime Commercial Bancshares Goodwill & Intangibles 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=goodwill-and-intangibles&ticker=DCOM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "goodwill-and-intangibles", "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=goodwill-and-intangibles&ticker=DCOM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();