e.l.f. Beauty (ELF) Return on Sales [ROS] (2015 - 2026)
e.l.f. Beauty's Return on Sales [ROS] was 21.37% in fiscal Q1 2027 (quarter ended Jun 30, 2026), up 7.60 percentage points from 13.77% a year earlier and up 32.57 percentage points from the prior quarter.
e.l.f. Beauty (ELF) Return on Sales [ROS] (2015 - 2026) Analysis & Trends
On a trailing twelve-month basis, e.l.f. Beauty's Return on Sales [ROS] was 7.23% through Jun 30, 2026, down 4.39 percentage points year-over-year; for FY2026 (ended Mar 31, 2026), it was 4.50%, down 7.53 percentage points from FY2025.
- Return on Sales [ROS] shows a five-year change of +1.54 percentage points (FY2021 to FY2026).
- In earlier fiscal years, Return on Sales [ROS] was 12.03% in FY2025 (-2.59 pp), 14.62% in FY2024 (+2.85 pp), 11.77% in FY2023 (+4.18 pp) and 7.59% in FY2022 (+4.64 pp).
- The fiscal Q1 2027 figure marks the highest quarterly Return on Sales [ROS] since fiscal Q1 2024.
- Compared with a year earlier, Return on Sales [ROS] was higher in three of the last eight quarters, with an average year-over-year change of -3.14 percentage points.
- The best year-over-year quarter for Return on Sales [ROS] over five years was fiscal Q1 2024 (a gain of 10.55 percentage points); the worst was fiscal Q4 2026 (a drop of 24.53 percentage points).
- Per Business Quant data, ELF's Return on Sales [ROS] in the three fiscal quarters before Q1 2027 was -11.20% (Q4 2026), 13.80% (Q3 2026) and 2.24% (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Procter & Gamble | 334.70 Bn | 290.68 Bn | 10.28 Bn | 18.63% |
| 2 | Colgate Palmolive | 67.39 Bn | 62.44 Bn | 3.30 Bn | 18.95% |
| 3 | Kenvue | 33.10 Bn | 28.72 Bn | 2.30 Bn | 17.67% |
| 4 | Estee Lauder Companies | 32.68 Bn | 20.76 Bn | 2.74 Bn | -1.08% |
| 5 | Kimberly Clark | 31.38 Bn | 28.70 Bn | 1.60 Bn | 15.11% |
| 6 | Church & Dwight | 22.32 Bn | 20.85 Bn | 693.90 Mn | 18.07% |
| 7 | Clorox | 9.75 Bn | 8.19 Bn | 804.00 Mn | 24.33% |
| 8 | e.l.f. Beauty | 6.14 Bn | 5.11 Bn | 398.84 Mn | 21.37% |
| 9 | Reynolds Consumer Products | 4.62 Bn | 4.29 Bn | 245.00 Mn | 14.62% |
| 10 | Interparfums | 3.58 Bn | 3.39 Bn | 223.53 Mn | 14.35% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 21.37% |
| Mar 31, 2026 | -11.20% |
| Dec 31, 2025 | 13.80% |
| Sep 30, 2025 | 2.24% |
| Jun 30, 2025 | 13.77% |
| Mar 31, 2025 | 13.32% |
| Dec 31, 2024 | 9.87% |
| Sep 30, 2024 | 9.27% |
| Jun 30, 2024 | 15.63% |
| Mar 31, 2024 | 5.30% |
| Dec 31, 2023 | 11.75% |
| Sep 30, 2023 | 18.64% |
| Jun 30, 2023 | 28.03% |
| Mar 31, 2023 | 4.29% |
| Dec 31, 2022 | 15.89% |
| Sep 30, 2022 | 12.57% |
| Jun 30, 2022 | 17.48% |
| Mar 31, 2022 | 2.08% |
| Dec 31, 2021 | 9.14% |
| Sep 30, 2021 | 8.10% |
e.l.f. Beauty 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=ELF&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "ELF", "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=ELF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();