Superior Group Of Companies (SGC) Revenue (2010 - 2026)
Superior Group Of Companies (SGC) posted Revenue of $147.84 million for Q2 2026, up 2.6% from $144.05 million a year earlier and up 4.9% from the prior quarter.
Superior Group Of Companies (SGC) Revenue (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Revenue at Superior Group Of Companies was $573.76 million, down 0.4% year-over-year; for FY2025, it was $566.18 million, up 0.1% from FY2024.
- Annual Revenue shows a five-year compound annual growth rate of 1.5% (FY2020 to FY2025).
- In prior years, Superior Group Of Companies' Revenue was $565.68 million in FY2024 (+4.1%), $543.3 million in FY2023 (-6.1%), $578.83 million in FY2022 (+7.8%) and $536.99 million in FY2021 (+2.0%).
- The Q2 2026 figure stands as the highest quarterly Revenue since Q3 2024.
- On a year-over-year basis, Revenue has increased in each of the last three quarters, with growth averaging 1.9% over the last eight quarters.
- The strongest year-over-year quarter for Revenue in the past five years was Q2 2022, with growth of 13.1%; the weakest was Q2 2023, with a decline of 12.7%.
- According to Business Quant data, Revenue for the three prior quarters was $140.88 million (Q1 2026), $146.58 million (Q4 2025) and $138.47 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Revenue (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 52.47 Bn | 18.46 Bn | 5.39 Bn | 10.97 Bn |
| 2 | Tapestry | 23.05 Bn | 19.01 Bn | 1.56 Bn | 1.88 Bn |
| 3 | Ralph Lauren | 21.35 Bn | 13.45 Bn | 1.44 Bn | 1.96 Bn |
| 4 | Deckers Outdoor | 11.12 Bn | 3.99 Bn | - | - |
| 5 | Lululemon Athletica | 10.25 Bn | 4.50 Bn | 1.46 Bn | 2.42 Bn |
| 6 | Levi Strauss | 7.60 Bn | 4.25 Bn | 979.10 Mn | 1.56 Bn |
| 7 | Gildan Activewear | 6.52 Bn | 5.51 Bn | 459.76 Mn | 1.58 Bn |
| 8 | Birkenstock Holding | 5.97 Bn | 4.27 Bn | 493.89 Mn | 836.35 Mn |
| 9 | Crocs | 5.64 Bn | 5.06 Bn | 700.71 Mn | 1.18 Bn |
| 10 | Superior Group Of Companies | 201.71 Mn | 115.41 Mn | 56.12 Mn | 147.84 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 147.84 Mn |
| Mar 31, 2026 | 140.88 Mn |
| Dec 31, 2025 | 146.58 Mn |
| Sep 30, 2025 | 138.47 Mn |
| Jun 30, 2025 | 144.05 Mn |
| Mar 31, 2025 | 137.10 Mn |
| Dec 31, 2024 | 145.41 Mn |
| Sep 30, 2024 | 149.69 Mn |
| Jun 30, 2024 | 131.74 Mn |
| Mar 31, 2024 | 138.84 Mn |
| Dec 31, 2023 | 147.24 Mn |
| Sep 30, 2023 | 136.13 Mn |
| Jun 30, 2023 | 129.16 Mn |
| Mar 31, 2023 | 130.77 Mn |
| Dec 31, 2022 | 148.61 Mn |
| Sep 30, 2022 | 138.70 Mn |
| Jun 30, 2022 | 147.93 Mn |
| Mar 31, 2022 | 143.58 Mn |
| Dec 31, 2021 | 142.03 Mn |
| Sep 30, 2021 | 123.33 Mn |
Superior Group Of Companies Revenue 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=revenue&ticker=SGC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "revenue", "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=revenue&ticker=SGC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();