Dime Commercial Bancshares, Inc. /NY/ (DCOM) Change in Accrued Expenses (2010 - 2020)
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Analysis
Dime Commercial Bancshares, Inc. /NY/ (DCOM) Change in Accrued Expenses (2010 - 2020) Analysis & Trends
Peer Set
Peer Comparison
Historic Data
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Historic Data
| Date | Value |
|---|---|
| Dec 31, 2020 | -4.32 Mn |
| Sep 30, 2020 | 2.76 Mn |
| Jun 30, 2020 | 335,000.00 |
| Mar 31, 2020 | -4.14 Mn |
| Dec 31, 2019 | 3.04 Mn |
| Sep 30, 2019 | -484,000.00 |
| Jun 30, 2019 | 1.55 Mn |
| Mar 31, 2019 | -5.62 Mn |
| Dec 31, 2018 | -2.15 Mn |
| Sep 30, 2018 | 2.65 Mn |
| Jun 30, 2018 | 3.41 Mn |
| Mar 31, 2018 | -479,000.00 |
| Dec 31, 2017 | 370,000.00 |
| Sep 30, 2017 | 188,000.00 |
| Jun 30, 2017 | 3.97 Mn |
| Mar 31, 2017 | -336,000.00 |
| Dec 31, 2016 | -808,000.00 |
| Sep 30, 2016 | -980,000.00 |
| Jun 30, 2016 | -2.56 Mn |
| Mar 31, 2016 | -2.13 Mn |
API Access
Dime Commercial Bancshares, Inc. /NY/ Change in Accrued Expenses 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=change-in-accrued-expenses&ticker=DCOM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accrued-expenses", "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=change-in-accrued-expenses&ticker=DCOM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();