Dime Commercial Bancshares, Inc. /NY/ (DCOM) Professional Fees (2012 - 2026)
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Analysis
Dime Commercial Bancshares, Inc. /NY/ (DCOM) Professional Fees (2012 - 2026) Analysis & Trends
Peer Set
Peer Comparison
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.33 Mn |
| Mar 31, 2026 | 1.91 Mn |
| Dec 31, 2025 | 1.38 Mn |
| Sep 30, 2025 | 2.23 Mn |
| Jun 30, 2025 | 2.10 Mn |
| Mar 31, 2025 | 2.12 Mn |
| Dec 31, 2024 | 2.35 Mn |
| Sep 30, 2024 | 2.04 Mn |
| Jun 30, 2024 | 2.77 Mn |
| Mar 31, 2024 | 1.47 Mn |
| Dec 31, 2023 | 1.28 Mn |
| Sep 30, 2023 | 1.28 Mn |
| Jun 30, 2023 | 1.68 Mn |
| Mar 31, 2023 | 1.92 Mn |
| Dec 31, 2022 | 1.83 Mn |
| Sep 30, 2022 | 2.12 Mn |
| Jun 30, 2022 | 2.03 Mn |
| Mar 31, 2022 | 2.09 Mn |
| Dec 31, 2021 | 2.13 Mn |
| Sep 30, 2021 | 2.75 Mn |
API Access
Dime Commercial Bancshares, Inc. /NY/ Professional Fees 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=professional-fees&ticker=DCOM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "professional-fees", "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=professional-fees&ticker=DCOM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();