Dime Commercial Bancshares (DCOM) Tax Provisions (2010 - 2026)
Dime Commercial Bancshares (DCOM) reported Tax Provisions of $13.06 million for Q2 2026, up 24.7% from $10.48 million a year earlier but down 6.3% from the prior quarter.
Dime Commercial Bancshares (DCOM) Tax Provisions (2010 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Dime Commercial Bancshares' Tax Provisions came in at $55.4 million, up 113.5% year-over-year; for FY2025, it came in at $46.12 million, up 106.3% from FY2024.
- Tax Provisions has a five-year compound annual growth rate of 29.5% (FY2020 to FY2025).
- By year, Tax Provisions came in at $22.36 million in FY2024 (-45.2%), $40.79 million in FY2023 (-31.3%), $59.36 million in FY2022 (+34.4%) and $44.17 million in FY2021 (+248.7%).
- Five-year quarterly Tax Provisions spans a low of $3.32 million in Q4 2024 and a high of $15.97 million in Q4 2025.
- Year over year, Tax Provisions has now increased in each of the last six quarters, with growth averaging 74.7% over the last eight quarters.
- The high point for year-over-year Tax Provisions in five years was Q4 2025 (growth of 380.7%); the low point was Q4 2024 (a decline of 63.2%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $13.95 million (Q1 2026), $15.97 million (Q4 2025) and $12.42 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Taxes (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 895.36 Bn | 924.83 Bn | - | 6.36 Bn |
| 2 | Banco Santander Chile | 425.01 Bn | 544.95 Bn | - | -51.13 Bn |
| 3 | Bank Of America | 389.22 Bn | -1,986.85 Bn | - | 2.49 Bn |
| 4 | Hsbc Holdings | 347.56 Bn | 347.61 Bn | - | - |
| 5 | Morgan Stanley | 304.44 Bn | -204.66 Bn | - | 1.70 Bn |
| 6 | Royal Bank Of Canada | 281.54 Bn | 132.29 Bn | - | 1.24 Bn |
| 7 | Mitsubishi Ufj Financial | 277.23 Bn | -1,311.26 Bn | 10.89 Bn | 1.17 Bn |
| 8 | Goldman Sachs | 267.12 Bn | -3,289.99 Bn | - | 1.94 Bn |
| 9 | Wells Fargo & Company | 244.76 Bn | 246.90 Bn | - | 1.40 Bn |
| 10 | Dime Commercial Bancshares | 1.75 Bn | 1.75 Bn | - | 13.06 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 13.06 Mn |
| Mar 31, 2026 | 13.95 Mn |
| Dec 31, 2025 | 15.97 Mn |
| Sep 30, 2025 | 12.42 Mn |
| Jun 30, 2025 | 10.48 Mn |
| Mar 31, 2025 | 7.25 Mn |
| Dec 31, 2024 | 3.32 Mn |
| Sep 30, 2024 | 4.90 Mn |
| Jun 30, 2024 | 7.55 Mn |
| Mar 31, 2024 | 6.59 Mn |
| Dec 31, 2023 | 9.02 Mn |
| Sep 30, 2023 | 8.09 Mn |
| Jun 30, 2023 | 10.05 Mn |
| Mar 31, 2023 | 13.62 Mn |
| Dec 31, 2022 | 15.18 Mn |
| Sep 30, 2022 | 15.43 Mn |
| Jun 30, 2022 | 15.27 Mn |
| Mar 31, 2022 | 13.49 Mn |
| Dec 31, 2021 | 15.81 Mn |
| Sep 30, 2021 | 14.57 Mn |
Dime Commercial Bancshares Tax Provisions 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=tax-provisions&ticker=DCOM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "tax-provisions", "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=tax-provisions&ticker=DCOM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();