Dime Commercial Bancshares (DCOM) Cash & Equivalents (2010 - 2020)
Dime Commercial Bancshares (DCOM) recorded Cash & Equivalents of $876.83 million in Q4 2020, up 648.2% from $117.19 million a year earlier and up 23.4% from the prior quarter.
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Analysis
Dime Commercial Bancshares (DCOM) Cash & Equivalents (2010 - 2020) Analysis & Trends
Starting with Q2 2010, Dime Commercial Bancshares' Cash & Equivalents history includes 43 quarters.
- Annual Cash & Equivalents has a five-year compound annual growth rate of 53.0% (FY2015 to FY2020).
- Across earlier years, Cash & Equivalents came in at $117.19 million in FY2019 (-60.3%), $295.37 million in FY2018 (+211.7%), $94.75 million in FY2017 (-16.8%) and $113.84 million in FY2016 (+8.9%).
- The Q4 2020 figure is the highest quarterly Cash & Equivalents in data going back to Q2 2010.
- On a year-over-year basis, Cash & Equivalents has increased for four consecutive quarters, with growth averaging 178.4% over the last eight quarters.
- Peak year-over-year performance for Cash & Equivalents in the last five years was growth of 648.2% in Q4 2020, against a decline of 60.3% in Q4 2019 at the low end.
- Per Business Quant, the preceding three quarters came in at $710.47 million (Q3 2020), $489.78 million (Q2 2020) and $234.18 million (Q1 2020).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 879.54 Bn | 909.01 Bn | - | - |
| 2 | Banco Santander Chile | 418.48 Bn | 538.42 Bn | - | - |
| 3 | Bank Of America | 381.92 Bn | -1,994.15 Bn | - | 229.75 Bn |
| 4 | Hsbc Holdings | 341.10 Bn | 341.15 Bn | - | 29.08 Bn |
| 5 | Morgan Stanley | 295.71 Bn | -213.38 Bn | - | 160.14 Bn |
| 6 | Royal Bank Of Canada | 275.38 Bn | 126.13 Bn | - | 46.00 Bn |
| 7 | Mitsubishi Ufj Financial | 273.79 Bn | -1,314.70 Bn | 10.89 Bn | - |
| 8 | Goldman Sachs | 262.78 Bn | -3,294.34 Bn | - | 187.27 Bn |
| 9 | Wells Fargo & Company | 242.61 Bn | 244.75 Bn | - | - |
| 10 | Dime Commercial Bancshares | 1.74 Bn | 1.74 Bn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2020 | 876.83 Mn |
| Sep 30, 2020 | 710.47 Mn |
| Jun 30, 2020 | 489.78 Mn |
| Mar 31, 2020 | 234.18 Mn |
| Dec 31, 2019 | 117.19 Mn |
| Sep 30, 2019 | 131.22 Mn |
| Jun 30, 2019 | 158.64 Mn |
| Mar 31, 2019 | 100.46 Mn |
| Dec 31, 2018 | 295.37 Mn |
| Sep 30, 2018 | 125.10 Mn |
| Jun 30, 2018 | 105.89 Mn |
| Mar 31, 2018 | 99.01 Mn |
| Dec 31, 2017 | 94.75 Mn |
| Sep 30, 2017 | 86.95 Mn |
| Jun 30, 2017 | 85.15 Mn |
| Mar 31, 2017 | 70.96 Mn |
| Dec 31, 2016 | 113.84 Mn |
| Sep 30, 2016 | 64.75 Mn |
| Jun 30, 2016 | 79.60 Mn |
| Mar 31, 2016 | 67.21 Mn |
API Access
Dime Commercial Bancshares Cash & Equivalents 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=cash-and-equivalents&ticker=DCOM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=DCOM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();