Herbalife (HLF) Cost of Revenue (2009 - 2026)
Herbalife's Cost of Revenue came in at $306.1 million for Q3 2026, up 7.7% from $284.2 million a year earlier and up 3.3% from the prior quarter.
Herbalife (HLF) Cost of Revenue (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Sep 30, 2026, Herbalife reported Cost of Revenue of $1.18 billion, up 8.0% year-over-year; for FY2025, it came in at $1.11 billion, up 0.9% from FY2024.
- Cost of Revenue carries a five-year compound annual growth rate of -0.6% (FY2020 to FY2025).
- Going back by year, Cost of Revenue was $1.1 billion in FY2024 (-7.3%), $1.19 billion in FY2023 (+1.5%), $1.17 billion in FY2022 (-5.3%) and $1.24 billion in FY2021 (+7.7%).
- The Q3 2026 figure represents the highest quarterly Cost of Revenue since Q2 2022.
- Year-over-year, Cost of Revenue has increased for five consecutive quarters, with growth averaging 2.7% over the last eight quarters.
- The fastest year-over-year change in Cost of Revenue over five years came in Q1 2026 (growth of 9.8%), and the weakest in Q3 2024 (a decline of 11.4%).
- Business Quant data shows HLF's Cost of Revenue at $296.3 million (Q2 2026), $291.1 million (Q1 2026) and $288.3 million (Q4 2025) in the three quarters before Q3 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | Procter & Gamble | 390.78 Bn | 342.58 Bn | 11.60 Bn | 11.68 Bn |
| 2 | Colgate Palmolive | 77.96 Bn | 72.79 Bn | 3.23 Bn | 2.14 Bn |
| 3 | Estee Lauder Companies | 41.21 Bn | 28.31 Bn | 2.81 Bn | 902.00 Mn |
| 4 | Kenvue | 37.02 Bn | 32.73 Bn | 2.31 Bn | 1.57 Bn |
| 5 | Kimberly Clark | 36.84 Bn | 32.92 Bn | 1.44 Bn | 2.69 Bn |
| 6 | Church & Dwight | 26.38 Bn | 24.77 Bn | 749.40 Mn | 852.70 Mn |
| 7 | Clorox | 12.88 Bn | 11.29 Bn | 770.00 Mn | 1.14 Bn |
| 8 | e.l.f. Beauty | 7.00 Bn | 5.82 Bn | 370.22 Mn | 150.59 Mn |
| 9 | Reynolds Consumer Products | 5.26 Bn | 4.95 Bn | 236.00 Mn | 708.00 Mn |
| 10 | Herbalife | 1.63 Bn | 56.78 Mn | 1.04 Bn | 306.10 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 306.10 Mn |
| Jun 30, 2026 | 296.30 Mn |
| Mar 31, 2026 | 291.10 Mn |
| Dec 31, 2025 | 288.30 Mn |
| Sep 30, 2025 | 284.20 Mn |
| Jun 30, 2025 | 276.90 Mn |
| Mar 31, 2025 | 265.20 Mn |
| Dec 31, 2024 | 267.50 Mn |
| Sep 30, 2024 | 268.70 Mn |
| Jun 30, 2024 | 283.10 Mn |
| Mar 31, 2024 | 285.00 Mn |
| Dec 31, 2023 | 287.60 Mn |
| Sep 30, 2023 | 303.20 Mn |
| Jun 30, 2023 | 301.60 Mn |
| Mar 31, 2023 | 298.60 Mn |
| Dec 31, 2022 | 265.60 Mn |
| Sep 30, 2022 | 285.10 Mn |
| Jun 30, 2022 | 315.80 Mn |
| Mar 31, 2022 | 307.10 Mn |
| Dec 31, 2021 | 296.60 Mn |
Herbalife Cost of Revenue 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=cost-of-revenue&ticker=HLF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cost-of-revenue", "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=cost-of-revenue&ticker=HLF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();