Honest Company (HNST) Return on Sales [ROS] (2020 - 2026)
Honest Company (HNST) posted Return on Sales [ROS] of 11.50% for Q2 2026, up 8.41 percentage points from 3.09% a year earlier and up 12.34 percentage points from the prior quarter.
Honest Company (HNST) Return on Sales [ROS] (2020 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Return on Sales [ROS] at Honest Company was -4.37%, down 5.50 percentage points year-over-year; for FY2025, it came in at -4.97%, down 3.30 percentage points from FY2024.
- Annual Return on Sales [ROS] shows a five-year change of -0.47 percentage points (FY2020 to FY2025).
- In prior years, Honest Company's Return on Sales [ROS] was -1.67% in FY2024 (+9.63 pp), -11.30% in FY2023 (+4.57 pp), -15.87% in FY2022 (-4.31 pp) and -11.56% in FY2021 (-7.05 pp).
- The Q2 2026 figure stands as the highest quarterly Return on Sales [ROS] in data going back to Q1 2020.
- On a year-over-year basis, Return on Sales [ROS] increased in five of the last eight quarters, with an average year-over-year change of -0.32 percentage points.
- The strongest year-over-year quarter for Return on Sales [ROS] in the past five years was Q1 2024, with a gain of 20.85 percentage points; the weakest was Q4 2025, with a drop of 26.42 percentage points.
- According to Business Quant data, Return on Sales [ROS] for the three prior quarters was -0.84% (Q1 2026), -27.45% (Q4 2025) and 0.34% (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 | Honest Company | 591.66 Mn | 234.36 Mn | 40.36 Mn | 11.50% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 11.50% |
| Mar 31, 2026 | -0.84% |
| Dec 31, 2025 | -27.45% |
| Sep 30, 2025 | 0.34% |
| Jun 30, 2025 | 3.09% |
| Mar 31, 2025 | 2.58% |
| Dec 31, 2024 | -1.03% |
| Sep 30, 2024 | 0.06% |
| Jun 30, 2024 | -4.35% |
| Mar 31, 2024 | -1.53% |
| Dec 31, 2023 | 1.25% |
| Sep 30, 2023 | -9.27% |
| Jun 30, 2023 | -15.83% |
| Mar 31, 2023 | -22.37% |
| Dec 31, 2022 | -15.58% |
| Sep 30, 2022 | -13.88% |
| Jun 30, 2022 | -13.68% |
| Mar 31, 2022 | -21.17% |
| Dec 31, 2021 | -10.70% |
| Sep 30, 2021 | -5.55% |
Honest Company 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=HNST&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "HNST", "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=HNST&period=max&api_key=YOUR_API_KEY");
const data = await res.json();