Herbalife (HLF) Accumulated Expenses (2009 - 2026)
Herbalife's Accumulated Expenses was $243.1 million in Q3 2017, up 1.6% from $239.3 million a year earlier and up 1.7% from the prior quarter.
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Analysis
Herbalife (HLF) Accumulated Expenses (2009 - 2026) Analysis & Trends
At the end of FY2016, Accumulated Expenses at Herbalife came in at $236.9 million, up 3.6% from FY2015.
- Accumulated Expenses shows a five-year compound annual growth rate of 9.2% (FY2011 to FY2016).
- In earlier years, Accumulated Expenses was $228.7 million in FY2015 (-9.3%), $252.1 million in FY2014 (-5.8%), $267.5 million in FY2013 (+47.4%) and $181.52 million in FY2012 (+18.8%).
- Quarterly Accumulated Expenses has moved between $181.52 million (Q4 2012) and $455.8 million (Q2 2016) over five years.
- Compared with a year earlier, Accumulated Expenses was higher in five of the last eight quarters, with growth averaging 4.1%.
- The best year-over-year quarter for Accumulated Expenses over five years was Q2 2016 (growth of 73.6%); the worst was Q2 2017 (a decline of 47.6%).
- Per Business Quant data, HLF's Accumulated Expenses in the three quarters before Q3 2017 was $239 million (Q2 2017), $269.8 million (Q1 2017) and $236.9 million (Q4 2016).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Procter & Gamble | 383.82 Bn | 335.63 Bn | 11.60 Bn |
| 2 | Colgate Palmolive | 77.64 Bn | 72.70 Bn | 3.30 Bn |
| 3 | Estee Lauder Companies | 39.02 Bn | 27.10 Bn | 2.74 Bn |
| 4 | Kenvue | 38.19 Bn | 33.81 Bn | 2.30 Bn |
| 5 | Kimberly Clark | 37.36 Bn | 34.68 Bn | 1.60 Bn |
| 6 | Church & Dwight | 25.82 Bn | 24.35 Bn | 693.90 Mn |
| 7 | Clorox | 10.72 Bn | 9.16 Bn | 804.00 Mn |
| 8 | e.l.f. Beauty | 6.78 Bn | 5.75 Bn | 398.84 Mn |
| 9 | Reynolds Consumer Products | 4.98 Bn | 4.64 Bn | 245.00 Mn |
| 10 | Herbalife | 1.45 Bn | -27.51 Mn | 1.03 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 14.10 Mn |
| Mar 31, 2026 | 59.60 Mn |
| Dec 31, 2025 | 24.80 Mn |
| Sep 30, 2025 | 59.60 Mn |
| Jun 30, 2025 | 28.70 Mn |
| Mar 31, 2025 | 61.00 Mn |
| Dec 31, 2024 | 31.80 Mn |
| Sep 30, 2017 | 243.10 Mn |
| Jun 30, 2017 | 239.00 Mn |
| Mar 31, 2017 | 269.80 Mn |
| Dec 31, 2016 | 236.90 Mn |
| Sep 30, 2016 | 239.30 Mn |
| Jun 30, 2016 | 455.80 Mn |
| Mar 31, 2016 | 237.60 Mn |
| Dec 31, 2015 | 228.70 Mn |
| Sep 30, 2015 | 229.10 Mn |
| Jun 30, 2015 | 262.50 Mn |
| Mar 31, 2015 | 255.20 Mn |
| Dec 31, 2014 | 252.10 Mn |
| Sep 30, 2014 | 273.07 Mn |
API Access
Herbalife Accumulated 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=accumulated-expenses&ticker=HLF&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-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=accumulated-expenses&ticker=HLF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();