Dime Commercial Bancshares (DCOM) Change in Net Loans (2010 - 2020)
Dime Commercial Bancshares (DCOM) recorded Change in Net Loans of $924,000 in Q4 2020, down 99.5% from $171.75 million a year earlier and down 95.6% from the prior quarter.
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Analysis
Dime Commercial Bancshares (DCOM) Change in Net Loans (2010 - 2020) Analysis & Trends
For FY2020, Dime Commercial Bancshares reported Change in Net Loans of $962.58 million, up 128.6% from FY2019.
- Annual Change in Net Loans has a five-year compound annual growth rate of 22.1% (FY2015 to FY2020).
- Across earlier years, Change in Net Loans came in at $421.02 million in FY2019 (+96.8%), $213.97 million in FY2018 (-59.4%), $526.99 million in FY2017 (+155.3%) and $206.38 million in FY2016 (-41.8%).
- The Q4 2020 figure is the lowest quarterly Change in Net Loans in data going back to Q3 2010.
- On a year-over-year basis, Change in Net Loans rose in four of the last seven quarters, with growth averaging 69.1%.
- Peak year-over-year performance for Change in Net Loans in the last five years was growth of 601.4% in Q4 2017, against a decline of 99.5% in Q4 2020 at the low end.
- Per Business Quant, the preceding three quarters came in at $20.79 million (Q3 2020), $858.87 million (Q2 2020) and $81.99 million (Q1 2020).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change in Net Loans (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 | - | - |
| 4 | Hsbc Holdings | 341.10 Bn | 341.15 Bn | - | - |
| 5 | Morgan Stanley | 295.71 Bn | -213.38 Bn | - | 12.69 Bn |
| 6 | Royal Bank Of Canada | 275.38 Bn | 126.13 Bn | - | -22.01 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 | - | 7.29 Bn |
| 9 | Wells Fargo & Company | 242.61 Bn | 244.75 Bn | - | -19.63 Bn |
| 10 | Dime Commercial Bancshares | 1.74 Bn | 1.74 Bn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2020 | 924,000.00 |
| Sep 30, 2020 | 20.79 Mn |
| Jun 30, 2020 | 858.87 Mn |
| Mar 31, 2020 | 81.99 Mn |
| Dec 31, 2019 | 171.75 Mn |
| Sep 30, 2019 | 78.28 Mn |
| Jun 30, 2019 | 55.66 Mn |
| Mar 31, 2019 | 115.34 Mn |
| Dec 31, 2018 | 79.17 Mn |
| Sep 30, 2018 | 16.53 Mn |
| Jun 30, 2018 | 20.06 Mn |
| Mar 31, 2018 | 98.22 Mn |
| Dec 31, 2017 | 207.68 Mn |
| Sep 30, 2017 | 126.49 Mn |
| Jun 30, 2017 | 137.65 Mn |
| Mar 31, 2017 | 55.17 Mn |
| Dec 31, 2016 | 29.61 Mn |
| Sep 30, 2016 | 59.45 Mn |
| Jun 30, 2016 | 41.17 Mn |
| Mar 31, 2016 | 76.15 Mn |
API Access
Dime Commercial Bancshares Change in Net 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=change-in-net-loans&ticker=DCOM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-net-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=change-in-net-loans&ticker=DCOM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();