Herbalife (HLF) Return on Sales [ROS] (2009 - 2026)
Herbalife (HLF) recorded Return on Sales [ROS] of 9.67% in Q2 2026, down 0.86 percentage points from 10.53% a year earlier and down 0.84 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 9.47% as of Jun 30, 2026, down 0.46 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 13.24% in Q3 2021 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 +1.62 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 10.51% (Q1 2026), 7.78% (Q4 2025) and 9.88% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Procter & Gamble | 336.76 Bn | 292.75 Bn | 10.28 Bn | 18.63% |
| 2 | Colgate Palmolive | 67.18 Bn | 62.24 Bn | 3.30 Bn | 18.95% |
| 3 | Estee Lauder Companies | 33.32 Bn | 21.40 Bn | 2.74 Bn | -1.08% |
| 4 | Kenvue | 33.09 Bn | 28.70 Bn | 2.30 Bn | 17.67% |
| 5 | Kimberly Clark | 31.38 Bn | 28.71 Bn | 1.60 Bn | 15.11% |
| 6 | Church & Dwight | 22.37 Bn | 20.90 Bn | 693.90 Mn | 18.07% |
| 7 | Clorox | 9.72 Bn | 8.16 Bn | 804.00 Mn | 24.33% |
| 8 | e.l.f. Beauty | 6.17 Bn | 5.15 Bn | 398.84 Mn | 21.37% |
| 9 | Reynolds Consumer Products | 4.71 Bn | 4.37 Bn | 245.00 Mn | 14.62% |
| 10 | Herbalife | 1.32 Bn | -156.41 Mn | 1.03 Bn | 9.67% |
Historic Data
| Date | Value |
|---|---|
| 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% |
| Sep 30, 2021 | 13.24% |
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();