Camden National (CAC) Dividend Coverage Ratio (2012 - 2016)
Camden National's (CAC) Dividend Coverage Ratio was 2.29 for FY2025, up 6.0% from 2.16 in FY2024.
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Analysis
Camden National (CAC) Dividend Coverage Ratio (2012 - 2016) Analysis & Trends
Dating back to FY2010, Camden National's Dividend Coverage Ratio record includes 16 years.
- The FY2025 figure ranks as the highest annual Dividend Coverage Ratio since FY2022.
- According to Business Quant data, Dividend Coverage Ratio came in at 2.16 in FY2024 (+22.1%), 1.77 in FY2023 (-32.3%), 2.61 in FY2022 (-20.2%) and 3.27 in FY2021 (+9.2%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Div. Cover (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 | - | 3.75 |
| 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 | - | 4.51 |
| 10 | Camden National | 969.89 Mn | 969.89 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2016 | 3.10 |
| Mar 31, 2016 | 2.80 |
| Dec 31, 2015 | 0.55 |
| Sep 30, 2015 | 2.88 |
| Jun 30, 2015 | 3.21 |
| Mar 31, 2015 | 2.51 |
| Dec 31, 2014 | 3.03 |
| Sep 30, 2014 | 3.21 |
| Jun 30, 2014 | 3.13 |
| Mar 31, 2014 | 2.79 |
| Dec 31, 2013 | 2.13 |
| Sep 30, 2013 | 3.08 |
| Jun 30, 2013 | 3.06 |
| Mar 31, 2013 | 2.97 |
| Dec 31, 2012 | 2.19 |
| Sep 30, 2012 | 3.27 |
| Jun 30, 2012 | 3.37 |
| Mar 31, 2012 | 3.38 |
API Access
Camden National Dividend Coverage Ratio 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=dividend-coverage-ratio&ticker=CAC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "dividend-coverage-ratio", "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=dividend-coverage-ratio&ticker=CAC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();