Dime Commercial Bancshares (DCOM) Securities - Held-to-maturity (2010 - 2026)
Dime Commercial Bancshares' Securities - Held-to-maturity was $706.61 million in Q2 2026, up 13.0% from $625.19 million a year earlier and up 9.1% from the prior quarter.
Dime Commercial Bancshares (DCOM) Securities - Held-to-maturity (2010 - 2026) Analysis & Trends
At the end of FY2025, Securities - Held-to-maturity at Dime Commercial Bancshares came in at $618.9 million, down 2.9% from FY2024.
- Securities - Held-to-maturity shows a five-year compound annual growth rate of 48.5% (FY2020 to FY2025).
- In earlier years, Securities - Held-to-maturity was $637.34 million in FY2024 (+7.2%), $594.64 million in FY2023 (+1.5%), $585.8 million in FY2022 (+226.7%) and $179.31 million in FY2021 (+109.2%).
- The Q2 2026 figure marks the highest quarterly Securities - Held-to-maturity in data going back to Q4 2010.
- Compared with a year earlier, Securities - Held-to-maturity was higher in six of the last eight quarters, with growth averaging 4.7%.
- The best year-over-year quarter for Securities - Held-to-maturity over five years was Q4 2022 (growth of 226.7%); the worst was Q3 2021 (a decline of 60.1%).
- Per Business Quant data, DCOM's Securities - Held-to-maturity in the three quarters before Q2 2026 was $647.84 million (Q1 2026), $618.9 million (Q4 2025) and $623.09 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Jpmorgan Chase | 879.54 Bn | 909.01 Bn | - |
| 2 | Banco Santander Chile | 418.48 Bn | 538.42 Bn | - |
| 3 | Bank Of America | 381.92 Bn | -1,994.15 Bn | - |
| 4 | Hsbc Holdings | 341.10 Bn | 341.15 Bn | - |
| 5 | Morgan Stanley | 295.71 Bn | -213.38 Bn | - |
| 6 | Royal Bank Of Canada | 275.38 Bn | 126.13 Bn | - |
| 7 | Mitsubishi Ufj Financial | 273.79 Bn | -1,314.70 Bn | 10.89 Bn |
| 8 | Goldman Sachs | 262.78 Bn | -3,294.34 Bn | - |
| 9 | Wells Fargo & Company | 242.61 Bn | 244.75 Bn | - |
| 10 | Dime Commercial Bancshares | 1.74 Bn | 1.74 Bn | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 706.61 Mn |
| Mar 31, 2026 | 647.84 Mn |
| Dec 31, 2025 | 618.90 Mn |
| Sep 30, 2025 | 623.09 Mn |
| Jun 30, 2025 | 625.19 Mn |
| Mar 31, 2025 | 631.33 Mn |
| Dec 31, 2024 | 637.34 Mn |
| Sep 30, 2024 | 592.41 Mn |
| Jun 30, 2024 | 588.00 Mn |
| Mar 31, 2024 | 589.33 Mn |
| Dec 31, 2023 | 594.64 Mn |
| Sep 30, 2023 | 600.29 Mn |
| Jun 30, 2023 | 603.96 Mn |
| Mar 31, 2023 | 605.64 Mn |
| Dec 31, 2022 | 585.80 Mn |
| Sep 30, 2022 | 591.40 Mn |
| Jun 30, 2022 | 579.97 Mn |
| Mar 31, 2022 | 383.92 Mn |
| Dec 31, 2021 | 179.31 Mn |
| Sep 30, 2021 | 40.30 Mn |
Dime Commercial Bancshares Securities - Held-to-maturity 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=securities-held-to-maturity&ticker=DCOM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "securities-held-to-maturity", "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=securities-held-to-maturity&ticker=DCOM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();