Herbalife (HLF) Operating Expenses (2009 - 2026)
Powered by 
Analysis
Herbalife (HLF) Operating Expenses (2009 - 2026) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Procter & Gamble | 389.52 Bn | 341.08 Bn | 11.60 Bn | 5.66 Bn |
| 2 | Colgate Palmolive | 77.87 Bn | 72.35 Bn | 3.23 Bn | 2.11 Bn |
| 3 | Estee Lauder Companies | 40.86 Bn | 27.95 Bn | 2.81 Bn | 2.41 Bn |
| 4 | Kenvue | 37.02 Bn | 32.73 Bn | 2.31 Bn | 1.60 Bn |
| 5 | Kimberly Clark | 36.57 Bn | 32.51 Bn | 1.44 Bn | - |
| 6 | Church & Dwight | 26.26 Bn | 24.65 Bn | 749.40 Mn | 267.30 Mn |
| 7 | Clorox | 12.68 Bn | 10.94 Bn | 770.00 Mn | 319.00 Mn |
| 8 | e.l.f. Beauty | 6.96 Bn | 5.78 Bn | 370.22 Mn | 300.12 Mn |
| 9 | Reynolds Consumer Products | 5.15 Bn | 4.85 Bn | 236.00 Mn | 106.00 Mn |
| 10 | Herbalife | 1.64 Bn | 57.14 Mn | 1.04 Bn | 432.10 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 432.10 Mn |
| Jun 30, 2026 | 436.20 Mn |
| Mar 31, 2026 | 431.40 Mn |
| Dec 31, 2025 | 336.90 Mn |
| Sep 30, 2025 | 447.60 Mn |
| Jun 30, 2025 | 408.50 Mn |
| Mar 31, 2025 | 400.30 Mn |
| Dec 31, 2024 | 287.10 Mn |
| Sep 30, 2024 | 444.00 Mn |
| Jun 30, 2024 | 502.30 Mn |
| Mar 31, 2024 | 492.20 Mn |
| Dec 31, 2023 | 309.30 Mn |
| Sep 30, 2023 | 455.30 Mn |
| Jun 30, 2023 | 460.50 Mn |
| Mar 31, 2023 | 475.90 Mn |
| Dec 31, 2022 | 437.30 Mn |
| Sep 30, 2022 | 448.20 Mn |
| Jun 30, 2022 | 470.00 Mn |
| Mar 31, 2022 | 454.90 Mn |
| Dec 31, 2021 | 513.20 Mn |
API Access
Herbalife Operating 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=operating-expenses&ticker=HLF&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-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=operating-expenses&ticker=HLF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();