Dime Commercial Bancshares, Inc. /NY/ (DCOM) Marketing and Advertising (2012 - 2026)
Analysis
Dime Commercial Bancshares, Inc. /NY/ (DCOM) Marketing and Advertising (2012 - 2026) Analysis & Trends
Peer Set
Peer Comparison
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.95 Mn |
| Mar 31, 2026 | 2.03 Mn |
| Dec 31, 2025 | 2.04 Mn |
| Sep 30, 2025 | 1.96 Mn |
| Jun 30, 2025 | 1.76 Mn |
| Mar 31, 2025 | 1.67 Mn |
| Dec 31, 2024 | 1.90 Mn |
| Sep 30, 2024 | 1.63 Mn |
| Jun 30, 2024 | 1.64 Mn |
| Mar 31, 2024 | 1.50 Mn |
| Dec 31, 2023 | 1.77 Mn |
| Sep 30, 2023 | 2.08 Mn |
| Jun 30, 2023 | 1.49 Mn |
| Mar 31, 2023 | 1.45 Mn |
| Dec 31, 2022 | 1.56 Mn |
| Sep 30, 2022 | 1.53 Mn |
| Jun 30, 2022 | 1.52 Mn |
| Mar 31, 2022 | 1.30 Mn |
| Dec 31, 2021 | 1.96 Mn |
| Sep 30, 2021 | 1.05 Mn |
API Access
Dime Commercial Bancshares, Inc. /NY/ Marketing and Advertising 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=marketing-and-advertising&ticker=DCOM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "marketing-and-advertising", "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=marketing-and-advertising&ticker=DCOM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();