Dime Commercial Bancshares, Inc. /NY/ (DCOM) Provision for Credit Losses (2010 - 2026)
Powered by 
Analysis
Dime Commercial Bancshares, Inc. /NY/ (DCOM) Provision for Credit Losses (2010 - 2026) Analysis & Trends
Peer Set
Peer Comparison
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 13.88 Mn |
| Mar 31, 2026 | 12.31 Mn |
| Dec 31, 2025 | 10.89 Mn |
| Sep 30, 2025 | 13.29 Mn |
| Jun 30, 2025 | 9.22 Mn |
| Mar 31, 2025 | 9.63 Mn |
| Dec 31, 2024 | 13.72 Mn |
| Sep 30, 2024 | 11.60 Mn |
| Jun 30, 2024 | 5.59 Mn |
| Mar 31, 2024 | 5.21 Mn |
| Dec 31, 2023 | 3.72 Mn |
| Sep 30, 2023 | 1.81 Mn |
| Jun 30, 2023 | 892,000.00 |
| Mar 31, 2023 | -3.65 Mn |
| Dec 31, 2022 | 335,000.00 |
| Sep 30, 2022 | 6.59 Mn |
| Jun 30, 2022 | 366,000.00 |
| Mar 31, 2022 | 16.62 Mn |
| Dec 31, 2021 | 5.40 Mn |
| Sep 30, 2021 | -7.31 Mn |
API Access
Dime Commercial Bancshares, Inc. /NY/ Provision for Credit Losses 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=provision-for-credit-losses&ticker=DCOM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "provision-for-credit-losses", "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=provision-for-credit-losses&ticker=DCOM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();