Dime Commercial Bancshares, Inc. /NY/ (DCOM) Proceeds from Sales of Loans (2017 - 2026)
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Analysis
Dime Commercial Bancshares, Inc. /NY/ (DCOM) Proceeds from Sales of Loans (2017 - 2026) Analysis & Trends
Peer Set
Peer Comparison
Historic Data
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Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 39.15 Mn |
| Mar 31, 2026 | 2.28 Mn |
| Dec 31, 2025 | 14.69 Mn |
| Sep 30, 2025 | 18.97 Mn |
| Mar 31, 2025 | 5.17 Mn |
| Dec 31, 2024 | 10.91 Mn |
| Dec 31, 2023 | 808,000.00 |
| Sep 30, 2023 | 2.49 Mn |
| Jun 30, 2022 | 12.13 Mn |
| Mar 31, 2022 | 1.07 Mn |
| Dec 31, 2021 | 2.94 Mn |
| Sep 30, 2021 | 14.33 Mn |
| Jun 30, 2021 | 663.73 Mn |
| Mar 31, 2021 | 3.90 Mn |
| Dec 31, 2020 | 12.81 Mn |
| Sep 30, 2020 | 27.95 Mn |
| Dec 31, 2017 | 20.60 Mn |
API Access
Dime Commercial Bancshares, Inc. /NY/ Proceeds from Sales of Loans 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=proceeds-from-sales-of-loans&ticker=DCOM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "proceeds-from-sales-of-loans", "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=proceeds-from-sales-of-loans&ticker=DCOM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();