Herbalife (HLF) Change in Taxes (2009 - 2016)
Herbalife's (HLF) quarterly Change in Taxes came in at $9.3 million in Q4 2016, down 80.79% year-over-year from $48.4 million in Q1 2016, and down 41.88% quarter-over-quarter from $16.0 million in Q3 2016.
Herbalife (HLF) Change in Taxes (2009 - 2016) Analysis & Trends
Herbalife has disclosed Change in Taxes across 8 years of filings, most recently posting $9.3 million for Q4 2016.
- In Q4 2016, Change in Taxes fell 80.79% year-over-year to $9.3 million; the TTM figure through Dec 2016 stood at -$15.5 million (down 171.1% YoY), while the FY2016 annual figure was -$15.5 million, down 171.1% from the prior year.
- Change in Taxes came in at $9.3 million for Q4 2016 at Herbalife, down from $16.0 million in the prior quarter.
- In the past five years, Change in Taxes ranged from a high of $48.4 million in Q4 2015 to a low of -$47.3 million in Q2 2016.
- Average Change in Taxes over 5 years is $4.4 million, with a median of $3.9 million recorded in 2012.
- Year-over-year, Change in Taxes soared 3687.92% in 2013 and tumbled 1077.78% in 2015.
- Over 5 years, Change in Taxes stood at -$1.1 million in 2012, then soared by 3687.92% to $40.1 million in 2013, then dropped by 15.49% to $33.9 million in 2014, then jumped by 42.77% to $48.4 million in 2015, then slumped by 80.79% to $9.3 million in 2016.
- Per Business Quant data, the three most recent Change in Taxes figures were $9.3 million in Q4 2016, $16.0 million in Q3 2016, and -$47.3 million in Q2 2016.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change in Taxes (Qtr) |
|---|---|---|---|---|---|
| 1 | Colgate Palmolive | 69.71 Bn | 68.67 Bn | 3.30 Bn | - |
| 2 | Kenvue | 34.22 Bn | 33.11 Bn | 2.30 Bn | -48.00 Mn |
| 3 | Kimberly Clark | 32.55 Bn | 31.72 Bn | 1.60 Bn | - |
| 4 | Bath & Body Works | 3.52 Bn | 2.73 Bn | 692.00 Mn | - |
| 5 | Prestige Consumer Healthcare | 2.52 Bn | 2.46 Bn | - | - |
| 6 | Perrigo | 1.88 Bn | 1.49 Bn | 313.90 Mn | -200,000.00 |
| 7 | Edgewell Personal Care | 1.25 Bn | 854.93 Mn | 242.50 Mn | - |
| 8 | Herbalife | 1.25 Bn | 883.17 Mn | 1.03 Bn | - |
| 9 | TFA Therapeutics | 1.02 Bn | 1.02 Bn | - | - |
| 10 | Honest Company | 611.15 Mn | 505.26 Mn | 40.36 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2016 | 9.30 Mn |
| Sep 30, 2016 | 16.00 Mn |
| Jun 30, 2016 | -47.30 Mn |
| Mar 31, 2016 | 6.50 Mn |
| Dec 31, 2015 | 48.40 Mn |
| Jun 30, 2015 | -16.00 Mn |
| Mar 31, 2015 | -10.60 Mn |
| Dec 31, 2014 | 33.90 Mn |
| Sep 30, 2014 | -3.50 Mn |
| Jun 30, 2014 | -7.30 Mn |
| Mar 31, 2014 | -900,000.00 |
| Dec 31, 2013 | 40.11 Mn |
| Sep 30, 2013 | -767,000.00 |
| Jun 30, 2013 | -35.64 Mn |
| Mar 31, 2013 | 23.10 Mn |
| Dec 31, 2012 | -1.12 Mn |
| Sep 30, 2012 | 8.46 Mn |
| Jun 30, 2012 | 3.94 Mn |
| Mar 31, 2012 | 16.72 Mn |
| Dec 31, 2011 | 12.65 Mn |
Herbalife Change in Taxes 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-taxes&ticker=HLF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-taxes", "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-taxes&ticker=HLF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();