Dime Commercial Bancshares, Inc. /NY/ (DCOM) Income Taxes Paid (2010 - 2026)
Analysis
Dime Commercial Bancshares, Inc. /NY/ (DCOM) Income Taxes Paid (2010 - 2026) Analysis & Trends
Peer Set
Peer Comparison
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 20.68 Mn |
| Mar 31, 2026 | 3.26 Mn |
| Dec 31, 2025 | 18.92 Mn |
| Sep 30, 2025 | 16.26 Mn |
| Jun 30, 2025 | 14.65 Mn |
| Mar 31, 2025 | 4.00 Mn |
| Dec 31, 2024 | 825,000.00 |
| Sep 30, 2024 | 11.79 Mn |
| Jun 30, 2024 | 9.53 Mn |
| Mar 31, 2024 | 6.68 Mn |
| Dec 31, 2023 | 6.64 Mn |
| Sep 30, 2023 | 1.80 Mn |
| Jun 30, 2023 | 27.50 Mn |
| Mar 31, 2023 | 1.97 Mn |
| Dec 31, 2022 | 8.39 Mn |
| Sep 30, 2022 | 13.07 Mn |
| Jun 30, 2022 | 20.46 Mn |
| Mar 31, 2022 | 1.60 Mn |
| Dec 31, 2021 | 16.84 Mn |
| Sep 30, 2021 | 13.28 Mn |
API Access
Dime Commercial Bancshares, Inc. /NY/ Income Taxes Paid 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=income-taxes-paid&ticker=DCOM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "income-taxes-paid", "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=income-taxes-paid&ticker=DCOM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();