Herbalife (HLF) Change in Accured Expenses (2009 - 2016)
Herbalife's Change in Accured Expenses came in at $11 million for Q4 2016, up 17.0% from $9.4 million a year earlier.
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Analysis
Herbalife (HLF) Change in Accured Expenses (2009 - 2016) Analysis & Trends
For FY2016, Herbalife's Change in Accured Expenses was $22.9 million, down 67.8% from FY2015.
- Change in Accured Expenses carries a five-year compound annual growth rate of -4.4% (FY2011 to FY2016).
- Going back by year, Change in Accured Expenses was $71.1 million in FY2015, -$11.5 million in FY2014, $86 million in FY2013 (+118.3%) and $39.4 million in FY2012 (+37.0%).
- The five-year range for quarterly Change in Accured Expenses is -$207.4 million (Q3 2016) to $239.7 million (Q2 2016).
- The fastest year-over-year change in Change in Accured Expenses over five years came in Q2 2016 (growth of 768.5%), and the weakest in Q2 2014 (a decline of 50.7%).
- Business Quant data shows HLF's Change in Accured Expenses at -$207.4 million (Q3 2016), $239.7 million (Q2 2016) and -$20.4 million (Q1 2016) in the three quarters before Q4 2016.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accured Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Procter & Gamble | 374.16 Bn | 325.72 Bn | 11.60 Bn | - |
| 2 | Colgate Palmolive | 75.00 Bn | 69.73 Bn | 3.30 Bn | 135.00 Mn |
| 3 | Estee Lauder Companies | 39.27 Bn | 27.35 Bn | 2.74 Bn | - |
| 4 | Kenvue | 37.55 Bn | 33.16 Bn | 2.30 Bn | 197.00 Mn |
| 5 | Kimberly Clark | 36.60 Bn | 33.79 Bn | 1.60 Bn | - |
| 6 | Church & Dwight | 24.91 Bn | 23.44 Bn | 693.90 Mn | 26.10 Mn |
| 7 | Clorox | 10.52 Bn | 8.80 Bn | 804.00 Mn | 50.00 Mn |
| 8 | e.l.f. Beauty | 6.74 Bn | 5.71 Bn | 398.84 Mn | -2.43 Mn |
| 9 | Reynolds Consumer Products | 4.85 Bn | 4.51 Bn | 245.00 Mn | 50.00 Mn |
| 10 | Herbalife | 1.39 Bn | -86.27 Mn | 1.03 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2016 | 11.00 Mn |
| Sep 30, 2016 | -207.40 Mn |
| Jun 30, 2016 | 239.70 Mn |
| Mar 31, 2016 | -20.40 Mn |
| Dec 31, 2015 | 9.40 Mn |
| Sep 30, 2015 | 11.60 Mn |
| Jun 30, 2015 | 27.60 Mn |
| Mar 31, 2015 | 22.50 Mn |
| Dec 31, 2014 | -23.30 Mn |
| Sep 30, 2014 | -4.90 Mn |
| Jun 30, 2014 | 29.20 Mn |
| Mar 31, 2014 | -12.50 Mn |
| Dec 31, 2013 | 20.13 Mn |
| Sep 30, 2013 | 22.11 Mn |
| Jun 30, 2013 | 59.28 Mn |
| Mar 31, 2013 | -15.52 Mn |
| Dec 31, 2012 | 19.37 Mn |
| Sep 30, 2012 | 23.54 Mn |
| Jun 30, 2012 | 13.86 Mn |
| Mar 31, 2012 | -17.37 Mn |
API Access
Herbalife Change in Accured Expenses 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-accured-expenses&ticker=HLF&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-expenses", "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=change-in-accured-expenses&ticker=HLF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();