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 | 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 | Bath & Body Works | 4.38 Bn | 2.17 Bn | 692.00 Mn | 14.27% |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 10.07% |
| 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% |
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();