Dime Commercial Bancshares (DCOM) Service Charges (2010 - 2018)
Dime Commercial Bancshares (DCOM) posted Service Charges of $2.16 million for Q1 2018, up 5.5% from $2.05 million a year earlier but down 7.3% from the prior quarter.
Dime Commercial Bancshares (DCOM) Service Charges (2010 - 2018) Analysis & Trends
For the trailing twelve months through Mar 31, 2018, Service Charges at Dime Commercial Bancshares was $9.11 million, up 7.6% year-over-year; for FY2017, it was $9 million, up 7.0% from FY2016.
- Annual Service Charges has increased for four consecutive years, with a five-year compound annual growth rate of 22.1% (FY2012 to FY2017).
- In prior years, Dime Commercial Bancshares' Service Charges was $8.41 million in FY2016 (+19.2%), $7.05 million in FY2015 (+120.0%), $3.21 million in FY2014 (+1.0%) and $3.17 million in FY2013 (-4.2%).
- Quarterly Service Charges has run from a low of $750,000 in Q4 2013 to a high of $4.36 million in Q4 2015 over five years.
- On a year-over-year basis, Service Charges has increased in each of the last five quarters, with growth averaging 43.9% over the last eight quarters.
- The strongest year-over-year quarter for Service Charges in the past five years was Q4 2015, with growth of 470.8%; the weakest was Q4 2016, with a decline of 54.8%.
- According to Business Quant data, Service Charges for the three prior quarters was $2.33 million (Q4 2017), $2.39 million (Q3 2017) and $2.22 million (Q2 2017).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Jpmorgan Chase | 895.36 Bn | 924.83 Bn | - |
| 2 | Banco Santander Chile | 425.01 Bn | 544.95 Bn | - |
| 3 | Bank Of America | 389.22 Bn | -1,986.85 Bn | - |
| 4 | Hsbc Holdings | 347.56 Bn | 347.61 Bn | - |
| 5 | Morgan Stanley | 304.44 Bn | -204.66 Bn | - |
| 6 | Royal Bank Of Canada | 281.54 Bn | 132.29 Bn | - |
| 7 | Mitsubishi Ufj Financial | 277.23 Bn | -1,311.26 Bn | 10.89 Bn |
| 8 | Goldman Sachs | 267.12 Bn | -3,289.99 Bn | - |
| 9 | Wells Fargo & Company | 244.76 Bn | 246.90 Bn | - |
| 10 | Dime Commercial Bancshares | 1.75 Bn | 1.75 Bn | - |
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2018 | 2.16 Mn |
| Dec 31, 2017 | 2.33 Mn |
| Sep 30, 2017 | 2.39 Mn |
| Jun 30, 2017 | 2.22 Mn |
| Mar 31, 2017 | 2.05 Mn |
| Dec 31, 2016 | 1.97 Mn |
| Sep 30, 2016 | 2.35 Mn |
| Jun 30, 2016 | 2.09 Mn |
| Mar 31, 2016 | 1.07 Mn |
| Dec 31, 2015 | 4.36 Mn |
| Sep 30, 2015 | 977,000.00 |
| Jun 30, 2015 | 863,000.00 |
| Mar 31, 2015 | 853,000.00 |
| Dec 31, 2014 | 764,000.00 |
| Sep 30, 2014 | 765,000.00 |
| Jun 30, 2014 | 878,000.00 |
| Mar 31, 2014 | 799,000.00 |
| Dec 31, 2013 | 750,000.00 |
| Sep 30, 2013 | 777,000.00 |
| Jun 30, 2013 | 846,000.00 |
Dime Commercial Bancshares Service Charges 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=service-charges&ticker=DCOM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "service-charges", "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=service-charges&ticker=DCOM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();