Herbalife (HLF) Return on Sales [ROS] (2009 - 2026)
Herbalife (HLF) recorded Return on Sales [ROS] of 10.26% in Q3 2026, up 0.38 percentage points from 9.88% a year earlier and up 0.59 percentage points from the prior quarter.
Herbalife (HLF) Return on Sales [ROS] (2009 - 2026) Analysis & Trends
On a TTM basis, Herbalife's Return on Sales [ROS] came in at 9.57% as of Sep 30, 2026, down 0.26 percentage points year-over-year; for FY2025, it was 9.55%, up 1.82 percentage points from FY2024.
- Annual Return on Sales [ROS] has a five-year change of -2.01 percentage points (FY2020 to FY2025).
- Across earlier years, Return on Sales [ROS] came in at 7.73% in FY2024 (+0.69 pp), 7.04% in FY2023 (-3.44 pp), 10.48% in FY2022 (-2.18 pp) and 12.65% in FY2021 (+1.09 pp).
- Quarterly Return on Sales [ROS] has ranged from 4.59% in Q4 2023 to 11.46% in Q1 2022 over the past five years.
- On a year-over-year basis, Return on Sales [ROS] rose in five of the last eight quarters, with an average year-over-year change of +1.43 percentage points.
- Peak year-over-year performance for Return on Sales [ROS] in the last five years was a gain of 4.36 percentage points in Q1 2025, against a drop of 5.83 percentage points in Q1 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at 9.67% (Q2 2026), 10.51% (Q1 2026) and 7.78% (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Procter & Gamble | 390.78 Bn | 342.58 Bn | 11.60 Bn | 25.51% |
| 2 | Colgate Palmolive | 77.96 Bn | 72.79 Bn | 3.23 Bn | 20.26% |
| 3 | Estee Lauder Companies | 41.21 Bn | 28.31 Bn | 2.81 Bn | 10.98% |
| 4 | Kenvue | 37.02 Bn | 32.73 Bn | 2.31 Bn | 18.17% |
| 5 | Kimberly Clark | 36.84 Bn | 32.92 Bn | 1.44 Bn | 12.48% |
| 6 | Church & Dwight | 26.38 Bn | 24.77 Bn | 749.40 Mn | 18.19% |
| 7 | Clorox | 12.88 Bn | 11.29 Bn | 770.00 Mn | 23.67% |
| 8 | e.l.f. Beauty | 7.00 Bn | 5.82 Bn | 370.22 Mn | 10.07% |
| 9 | Reynolds Consumer Products | 5.26 Bn | 4.95 Bn | 236.00 Mn | 10.38% |
| 10 | Herbalife | 1.63 Bn | 56.78 Mn | 1.04 Bn | 10.26% |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 10.26% |
| Jun 30, 2026 | 9.67% |
| Mar 31, 2026 | 10.51% |
| Dec 31, 2025 | 7.78% |
| Sep 30, 2025 | 9.88% |
| Jun 30, 2025 | 10.53% |
| Mar 31, 2025 | 10.05% |
| Dec 31, 2024 | 8.82% |
| Sep 30, 2024 | 10.25% |
| Jun 30, 2024 | 6.28% |
| Mar 31, 2024 | 5.69% |
| Dec 31, 2023 | 4.59% |
| Sep 30, 2023 | 8.33% |
| Jun 30, 2023 | 9.39% |
| Mar 31, 2023 | 5.63% |
| Dec 31, 2022 | 7.53% |
| Sep 30, 2022 | 11.38% |
| Jun 30, 2022 | 11.19% |
| Mar 31, 2022 | 11.46% |
| Dec 31, 2021 | 6.40% |
Herbalife Return on Sales [ROS] 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=return-on-sales-%5Bros%5D&ticker=HLF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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=return-on-sales-%5Bros%5D&ticker=HLF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();