Envela (ELA) Return on Sales [ROS] (2010 - 2026)
Envela's Return on Sales [ROS] was 8.99% in Q2 2026, up 3.05 percentage points from 5.93% a year earlier but down 2.41 percentage points from the prior quarter.
Envela (ELA) Return on Sales [ROS] (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, Envela's Return on Sales [ROS] was 9.57% through Jun 30, 2026, up 4.39 percentage points year-over-year; for FY2025, it was 7.51%, up 2.99 percentage points from FY2024.
- Return on Sales [ROS] shows a five-year change of +1.56 percentage points (FY2020 to FY2025).
- In earlier years, Return on Sales [ROS] was 4.52% in FY2024 (-0.47 pp), 5.00% in FY2023 (-2.64 pp), 7.63% in FY2022 (+0.90 pp) and 6.74% in FY2021 (+0.78 pp).
- Quarterly Return on Sales [ROS] has moved between 3.91% (Q4 2024) and 11.40% (Q1 2026) over five years.
- Compared with a year earlier, Return on Sales [ROS] has increased for six straight quarters, with an average year-over-year change of +2.18 percentage points over the last eight quarters.
- The best year-over-year quarter for Return on Sales [ROS] over five years was Q4 2025 (a gain of 5.45 percentage points); the worst was Q2 2023 (a drop of 5.34 percentage points).
- Per Business Quant data, ELA's Return on Sales [ROS] in the three quarters before Q2 2026 was 11.40% (Q1 2026), 9.36% (Q4 2025) and 7.32% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 50.34 Bn | 16.54 Bn | 4.80 Bn | 7.92% |
| 2 | Tapestry | 23.66 Bn | 19.62 Bn | 1.56 Bn | 23.57% |
| 3 | Ralph Lauren | 21.85 Bn | 13.95 Bn | 1.44 Bn | 17.47% |
| 4 | Deckers Outdoor | 11.26 Bn | 4.14 Bn | - | - |
| 5 | Lululemon Athletica | 10.07 Bn | 4.32 Bn | 1.46 Bn | 18.78% |
| 6 | Levi Strauss | 7.67 Bn | 4.32 Bn | 979.10 Mn | 7.82% |
| 7 | Gildan Activewear | 6.27 Bn | 5.26 Bn | 459.76 Mn | 11.12% |
| 8 | Birkenstock Holding | 6.13 Bn | 4.43 Bn | 493.89 Mn | 28.22% |
| 9 | Crocs | 5.68 Bn | 5.09 Bn | 700.71 Mn | 24.22% |
| 10 | Envela | 317.01 Mn | 192.38 Mn | 13.38 Mn | 8.99% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 8.99% |
| Mar 31, 2026 | 11.40% |
| Dec 31, 2025 | 9.36% |
| Sep 30, 2025 | 7.32% |
| Jun 30, 2025 | 5.93% |
| Mar 31, 2025 | 6.46% |
| Dec 31, 2024 | 3.91% |
| Sep 30, 2024 | 4.31% |
| Jun 30, 2024 | 4.21% |
| Mar 31, 2024 | 5.87% |
| Dec 31, 2023 | 4.25% |
| Sep 30, 2023 | 5.29% |
| Jun 30, 2023 | 4.04% |
| Mar 31, 2023 | 6.32% |
| Dec 31, 2022 | 7.83% |
| Sep 30, 2022 | 7.65% |
| Jun 30, 2022 | 9.38% |
| Mar 31, 2022 | 6.03% |
| Dec 31, 2021 | 6.37% |
| Sep 30, 2021 | 7.07% |
Envela 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=ELA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "ELA", "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=ELA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();