Herbalife (HLF) Dividend Coverage Ratio (2009 - 2014)
Herbalife's (HLF) Dividend Coverage Ratio came in at 10.15 for FY2014, up 137.0% from 4.29 in FY2013.
Analysis
Herbalife (HLF) Dividend Coverage Ratio (2009 - 2014) Analysis & Trends
Since FY2009, Herbalife has reported Dividend Coverage Ratio for 6 years.
- The FY2014 figure stands as the highest annual Dividend Coverage Ratio in data going back to FY2009.
- Business Quant data shows HLF's Dividend Coverage Ratio at 4.29 in FY2013 (+24.8%), 3.43 in FY2012 (-29.2%), 4.85 in FY2011 (-10.9%) and 5.45 in FY2010 (+30.6%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Div. Cover (Qtr) |
|---|---|---|---|---|---|
| 1 | Procter & Gamble | 337.81 Bn | 293.80 Bn | 10.28 Bn | - |
| 2 | Colgate Palmolive | 68.01 Bn | 63.06 Bn | 3.30 Bn | 1.50 |
| 3 | Kenvue | 33.93 Bn | 29.54 Bn | 2.30 Bn | - |
| 4 | Estee Lauder Companies | 33.63 Bn | 21.70 Bn | 2.74 Bn | -0.91 |
| 5 | Kimberly Clark | 32.41 Bn | 29.73 Bn | 1.60 Bn | 0.81 |
| 6 | Church & Dwight | 22.35 Bn | 20.88 Bn | 693.90 Mn | - |
| 7 | Clorox | 9.80 Bn | 8.24 Bn | 804.00 Mn | 1.09 |
| 8 | e.l.f. Beauty | 5.95 Bn | 4.92 Bn | 398.84 Mn | - |
| 9 | Reynolds Consumer Products | 4.56 Bn | 4.22 Bn | 245.00 Mn | - |
| 10 | Herbalife | 1.27 Bn | -202.52 Mn | 1.03 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2014 | 2.45 |
| Dec 31, 2013 | 4.06 |
| Sep 30, 2013 | 4.61 |
| Jun 30, 2013 | 4.63 |
| Mar 31, 2013 | 3.85 |
| Dec 31, 2012 | 3.46 |
| Sep 30, 2012 | 3.45 |
| Jun 30, 2012 | 3.76 |
| Mar 31, 2012 | 3.07 |
| Dec 31, 2011 | 4.72 |
| Sep 30, 2011 | 4.57 |
| Jun 30, 2011 | 4.54 |
| Mar 31, 2011 | 5.99 |
| Dec 31, 2010 | 5.83 |
| Sep 30, 2010 | 5.30 |
| Jun 30, 2010 | 6.85 |
| Mar 31, 2010 | 4.29 |
| Dec 31, 2009 | 4.64 |
| Sep 30, 2009 | 4.78 |
API Access
Herbalife 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=HLF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "dividend-coverage-ratio", "ticker": "HLF", "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=HLF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();