Dime Commercial Bancshares, Inc. /NY/ (DCOM) Other Operating Activities (2010 - 2026)
Analysis
Dime Commercial Bancshares, Inc. /NY/ (DCOM) Other Operating Activities (2010 - 2026) Analysis & Trends
Peer Set
Peer Comparison
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -238,000.00 |
| Mar 31, 2026 | -9,000.00 |
| Dec 31, 2025 | 397,000.00 |
| Sep 30, 2025 | -498,000.00 |
| Jun 30, 2025 | -288,000.00 |
| Mar 31, 2025 | -993,000.00 |
| Dec 31, 2024 | 912,000.00 |
| Sep 30, 2024 | -2.06 Mn |
| Jun 30, 2024 | 634,000.00 |
| Mar 31, 2024 | 628,000.00 |
| Dec 31, 2023 | 265,000.00 |
| Jun 30, 2023 | -645,000.00 |
| Dec 31, 2022 | -22,000.00 |
| Sep 30, 2022 | -1.40 Mn |
| Jun 30, 2022 | -2.16 Mn |
| Dec 31, 2021 | -22.28 Mn |
| Sep 30, 2021 | -350,000.00 |
| Jun 30, 2021 | -22.19 Mn |
| Mar 31, 2021 | 11.86 Mn |
| Dec 31, 2020 | 2.67 Mn |
API Access
Dime Commercial Bancshares, Inc. /NY/ Other Operating Activities 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=other-operating-activities&ticker=DCOM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-operating-activities", "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=other-operating-activities&ticker=DCOM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();