Herbalife (HLF) Operating Expenses (2009 - 2026)
Herbalife's Operating Expenses came in at $436.2 million for Q2 2026, up 6.8% from $408.5 million a year earlier and up 1.1% from the prior quarter.
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Analysis
Herbalife (HLF) Operating Expenses (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Herbalife reported Operating Expenses of $1.65 billion, up 7.3% year-over-year; for FY2025, it was $1.66 billion, down 3.6% from FY2024.
- Operating Expenses carries a five-year compound annual growth rate of -4.3% (FY2020 to FY2025).
- Going back by year, Operating Expenses was $1.73 billion in FY2024 (+1.4%), $1.7 billion in FY2023 (-6.0%), $1.81 billion in FY2022 (-10.0%) and $2.01 billion in FY2021 (-3.0%).
- The five-year range for quarterly Operating Expenses is $287.1 million (Q4 2024) to $513.2 million (Q4 2021).
- Year-over-year, Operating Expenses has increased for four consecutive quarters, with an average decline of 1.8% over the last eight quarters.
- The fastest year-over-year change in Operating Expenses over five years came in Q4 2025 (growth of 17.3%), and the weakest in Q4 2023 (a decline of 29.3%).
- Business Quant data shows HLF's Operating Expenses at $431.4 million (Q1 2026), $336.9 million (Q4 2025) and $447.6 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Procter & Gamble | 368.76 Bn | 324.52 Bn | 10.28 Bn | 6.33 Bn |
| 2 | Colgate Palmolive | 74.81 Bn | 69.54 Bn | 3.30 Bn | 2.13 Bn |
| 3 | Estee Lauder Companies | 37.91 Bn | 25.98 Bn | 2.74 Bn | 2.78 Bn |
| 4 | Kenvue | 36.64 Bn | 32.26 Bn | 2.30 Bn | 1.60 Bn |
| 5 | Kimberly Clark | 35.54 Bn | 32.73 Bn | 1.60 Bn | - |
| 6 | Church & Dwight | 24.86 Bn | 23.39 Bn | 693.90 Mn | 252.20 Mn |
| 7 | Clorox | 10.38 Bn | 8.65 Bn | 804.00 Mn | 330.00 Mn |
| 8 | e.l.f. Beauty | 6.79 Bn | 5.77 Bn | 398.84 Mn | 280.32 Mn |
| 9 | Reynolds Consumer Products | 4.80 Bn | 4.46 Bn | 245.00 Mn | 107.00 Mn |
| 10 | Herbalife | 1.44 Bn | -40.81 Mn | 1.03 Bn | 436.20 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| 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 |
| Sep 30, 2021 | 486.30 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();