Camden National (CAC) Financial Services Fees (2010 - 2018)
Camden National's Financial Services Fees came in at $1.16 million for Q4 2018, down 35.7% from $1.8 million a year earlier and down 34.2% from the prior quarter.
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Analysis
Camden National (CAC) Financial Services Fees (2010 - 2018) Analysis & Trends
For FY2018, Camden National's Financial Services Fees was $5.91 million, down 19.7% from FY2017.
- Financial Services Fees carries a five-year compound annual growth rate of -0.2% (FY2013 to FY2018).
- Going back by year, Financial Services Fees was $7.36 million in FY2017 (+17.7%), $6.26 million in FY2016 (+208.1%), $2.03 million in FY2015 (+39.0%) and $1.46 million in FY2014 (-75.5%).
- The Q4 2018 figure represents the lowest quarterly Financial Services Fees since Q1 2016.
- Year-over-year, Financial Services Fees has declined for four consecutive quarters, with growth averaging 6.0% over the last eight quarters.
- The fastest year-over-year change in Financial Services Fees over five years came in Q3 2016 (growth of 478.6%), and the weakest in Q3 2015 (a decline of 74.7%).
- Business Quant data shows CAC's Financial Services Fees at $1.76 million (Q3 2018), $1.61 million (Q2 2018) and $1.39 million (Q1 2018) in the three quarters before Q4 2018.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (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 | - |
| 6 | Royal Bank Of Canada | 275.38 Bn | 126.13 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 | - |
| 9 | Wells Fargo & Company | 242.61 Bn | 244.75 Bn | - |
| 10 | Camden National | 935.25 Mn | 935.25 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2018 | 1.16 Mn |
| Sep 30, 2018 | 1.76 Mn |
| Jun 30, 2018 | 1.61 Mn |
| Mar 31, 2018 | 1.39 Mn |
| Dec 31, 2017 | 1.80 Mn |
| Sep 30, 2017 | 2.08 Mn |
| Jun 30, 2017 | 1.94 Mn |
| Mar 31, 2017 | 1.55 Mn |
| Dec 31, 2016 | 1.34 Mn |
| Sep 30, 2016 | 2.41 Mn |
| Jun 30, 2016 | 1.71 Mn |
| Mar 31, 2016 | 808,000.00 |
| Dec 31, 2015 | 907,000.00 |
| Sep 30, 2015 | 416,000.00 |
| Jun 30, 2015 | 1.58 Mn |
| Mar 31, 2015 | 1.51 Mn |
| Dec 31, 2014 | -3.12 Mn |
| Sep 30, 2014 | 1.65 Mn |
| Jun 30, 2014 | 1.54 Mn |
| Mar 31, 2014 | 1.40 Mn |
API Access
Camden National Financial Services Fees 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=financial-services-fees&ticker=CAC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "financial-services-fees", "ticker": "CAC", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=financial-services-fees&ticker=CAC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();