Superior Group Of Companies (SGC) Return on Sales [ROS] (2010 - 2026)
Superior Group Of Companies' Return on Sales [ROS] came in at 3.24% for Q2 2026, up 1.10 percentage points from 2.14% a year earlier and up 1.85 percentage points from the prior quarter.
Superior Group Of Companies (SGC) Return on Sales [ROS] (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Superior Group Of Companies reported Return on Sales [ROS] of 2.91%, up 0.22 percentage points year-over-year; for FY2025, it came in at 2.36%, down 1.29 percentage points from FY2024.
- Return on Sales [ROS] carries a five-year change of -7.56 percentage points (FY2020 to FY2025).
- Going back by year, Return on Sales [ROS] was 3.65% in FY2024 (+0.06 pp), 3.59% in FY2023 (+0.64 pp), 2.94% in FY2022 (-5.24 pp) and 8.19% in FY2021 (-1.73 pp).
- The five-year range for quarterly Return on Sales [ROS] is 0.25% (Q1 2025) to 8.72% (Q3 2021).
- Year-over-year, Return on Sales [ROS] has increased for three consecutive quarters, with an average year-over-year change of -0.35 percentage points over the last eight quarters.
- The fastest year-over-year change in Return on Sales [ROS] over five years came in Q4 2023 (a gain of 3.47 percentage points), and the weakest in Q2 2022 (a drop of 8.67 percentage points).
- Business Quant data shows SGC's Return on Sales [ROS] at 1.40% (Q1 2026), 3.68% (Q4 2025) and 3.30% (Q3 2025) in the three quarters before Q2 2026.
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 | Superior Group Of Companies | 206.97 Mn | 120.67 Mn | 56.12 Mn | 3.24% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 3.24% |
| Mar 31, 2026 | 1.40% |
| Dec 31, 2025 | 3.68% |
| Sep 30, 2025 | 3.30% |
| Jun 30, 2025 | 2.14% |
| Mar 31, 2025 | 0.25% |
| Dec 31, 2024 | 2.71% |
| Sep 30, 2024 | 5.44% |
| Jun 30, 2024 | 1.66% |
| Mar 31, 2024 | 4.59% |
| Dec 31, 2023 | 3.80% |
| Sep 30, 2023 | 4.37% |
| Jun 30, 2023 | 3.26% |
| Mar 31, 2023 | 2.85% |
| Dec 31, 2022 | 0.33% |
| Sep 30, 2022 | 4.92% |
| Jun 30, 2022 | 1.46% |
| Mar 31, 2022 | 5.27% |
| Dec 31, 2021 | 4.24% |
| Sep 30, 2021 | 8.72% |
Superior Group Of 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=SGC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "SGC", "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=SGC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();