Dime Commercial Bancshares, Inc. /NY/ (DCOM) Purchase of AFS Securities (2010 - 2026)
Analysis
Dime Commercial Bancshares, Inc. /NY/ (DCOM) Purchase of AFS Securities (2010 - 2026) Analysis & Trends
Peer Set
Peer Comparison
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 96.96 Mn |
| Mar 31, 2026 | 84.99 Mn |
| Dec 31, 2025 | 164.01 Mn |
| Sep 30, 2025 | 21.35 Mn |
| Jun 30, 2025 | 50.25 Mn |
| Mar 31, 2025 | 29.72 Mn |
| Dec 31, 2024 | 331.17 Mn |
| Dec 31, 2023 | 5.46 Mn |
| Sep 30, 2023 | 1.96 Mn |
| Jun 30, 2023 | 510,000.00 |
| Mar 31, 2023 | 78.16 Mn |
| Dec 31, 2022 | 9.49 Mn |
| Sep 30, 2022 | 23.53 Mn |
| Jun 30, 2022 | 3.21 Mn |
| Mar 31, 2022 | 3.00 Mn |
| Dec 31, 2021 | 69.33 Mn |
| Sep 30, 2021 | 517.38 Mn |
| Jun 30, 2021 | 181.09 Mn |
| Mar 31, 2021 | 327.22 Mn |
| Dec 31, 2020 | 70.27 Mn |
API Access
Dime Commercial Bancshares, Inc. /NY/ Purchase of AFS Securities 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=purchase-of-afs-securities&ticker=DCOM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "purchase-of-afs-securities", "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=purchase-of-afs-securities&ticker=DCOM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();