Kenvue (KVUE) Return on Sales [ROS] (2022 - 2026)
Kenvue (KVUE) posted Return on Sales [ROS] of 17.67% for Q2 2026, down 0.35 percentage points from 18.03% a year earlier and down 1.95 percentage points from the prior quarter.
Kenvue (KVUE) Return on Sales [ROS] (2022 - 2026) Analysis & Trends
For the trailing twelve months through Jun 28, 2026, Return on Sales [ROS] at Kenvue was 17.07%, up 1.30 percentage points year-over-year; for FY2025, it was 15.96%, up 4.05 percentage points from FY2024.
- Annual Return on Sales [ROS] shows a three-year change of -1.93 percentage points (FY2022 to FY2025).
- In prior years, Kenvue's Return on Sales [ROS] was 11.91% in FY2024 (-4.35 pp), 16.27% in FY2023 (-1.63 pp) and 17.89% in FY2022.
- Quarterly Return on Sales [ROS] has run from a low of 3.85% in Q2 2024 to a high of 19.62% in Q1 2026 over five years.
- 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 +2.44 percentage points.
- The strongest year-over-year quarter for Return on Sales [ROS] in the past five years was Q2 2025, with a gain of 14.18 percentage points; the weakest was Q2 2024, with a drop of 13.65 percentage points.
- According to Business Quant data, Return on Sales [ROS] for the three prior quarters was 19.62% (Q1 2026), 14.15% (Q4 2025) and 16.71% (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 | Interparfums | 3.65 Bn | 3.46 Bn | 223.53 Mn | 14.35% |
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 17.67% |
| Mar 29, 2026 | 19.62% |
| Dec 28, 2025 | 14.15% |
| Sep 28, 2025 | 16.71% |
| Jun 29, 2025 | 18.03% |
| Mar 30, 2025 | 14.92% |
| Dec 29, 2024 | 13.19% |
| Sep 29, 2024 | 16.77% |
| Jun 30, 2024 | 3.85% |
| Mar 31, 2024 | 14.12% |
| Dec 31, 2023 | 12.55% |
| Oct 1, 2023 | 18.14% |
| Jul 2, 2023 | 17.50% |
| Apr 2, 2023 | 16.61% |
| Jan 1, 2023 | 13.59% |
| Oct 2, 2022 | 20.14% |
| Jul 3, 2022 | 20.24% |
| Apr 3, 2022 | 17.02% |
Kenvue 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=KVUE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "KVUE", "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=KVUE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();