Estee Lauder Companies (EL) Return on Sales [ROS] (2009 - 2026)
Estee Lauder Companies' Return on Sales [ROS] came in at -1.08% for fiscal Q4 2026 (quarter ended Jun 30, 2026), up 10.36 percentage points from -11.43% a year earlier but down 7.78 percentage points from the prior quarter.
Estee Lauder Companies (EL) Return on Sales [ROS] (2009 - 2026) Analysis & Trends
For FY2026 (ended Jun 30, 2026), Estee Lauder Companies' Return on Sales [ROS] was 5.18%, up 10.66 percentage points from FY2025.
- Return on Sales [ROS] carries a five-year change of -10.96 percentage points (FY2021 to FY2026).
- Going back by fiscal year, Return on Sales [ROS] was -5.48% in FY2025 (-11.69 pp), 6.21% in FY2024 (-3.27 pp), 9.48% in FY2023 (-8.39 pp) and 17.87% in FY2022 (+1.73 pp).
- The five-year range for quarterly Return on Sales [ROS] is -14.49% (fiscal Q2 2025) to 25.60% (fiscal Q2 2022).
- Year-over-year, Return on Sales [ROS] increased in three of the last eight quarters, with an average year-over-year change of -0.46 percentage points.
- The fastest year-over-year change in Return on Sales [ROS] over five years came in fiscal Q2 2026 (a gain of 23.97 percentage points), and the weakest in fiscal Q2 2025 (a drop of 27.90 percentage points).
- Business Quant data shows EL's Return on Sales [ROS] at 6.71% (Q3 2026), 9.48% (Q2 2026) and 4.85% (Q1 2026) in the three fiscal quarters before Q4 2026.
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 30, 2026 | -1.08% |
| Mar 31, 2026 | 6.71% |
| Dec 31, 2025 | 9.48% |
| Sep 30, 2025 | 4.85% |
| Jun 30, 2025 | -11.43% |
| Mar 31, 2025 | 8.62% |
| Dec 31, 2024 | -14.49% |
| Sep 30, 2024 | -3.60% |
| Jun 30, 2024 | -6.02% |
| Mar 31, 2024 | 13.48% |
| Dec 31, 2023 | 13.41% |
| Sep 30, 2023 | 2.79% |
| Jun 30, 2023 | -0.14% |
| Mar 31, 2023 | 7.92% |
| Dec 31, 2022 | 12.03% |
| Sep 30, 2022 | 16.82% |
| Jun 30, 2022 | 2.22% |
| Mar 31, 2022 | 17.39% |
| Dec 31, 2021 | 25.60% |
| Sep 30, 2021 | 21.29% |
Estee Lauder Companies 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=EL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "EL", "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=EL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();