Superior Group Of Companies (SGC) Enterprise Value (2010 - 2026)
Superior Group Of Companies (SGC) posted Enterprise Value of $186.42 million for Q2 2026, up 30.4% from $142.93 million a year earlier and up 37.4% from the prior quarter.
Superior Group Of Companies (SGC) Enterprise Value (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Enterprise Value at Superior Group Of Companies was $122.91 million, up 42.9% year-over-year; for FY2025, it came in at $128.58 million, down 49.3% from FY2024.
- Annual Enterprise Value shows a five-year compound annual growth rate of -18.3% (FY2020 to FY2025).
- In prior years, Superior Group Of Companies' Enterprise Value was $253.73 million in FY2024 (+24.5%), $203.73 million in FY2023 (+38.6%), $147.03 million in FY2022 (-57.4%) and $344.9 million in FY2021 (-2.2%).
- The Q2 2026 figure stands as the highest quarterly Enterprise Value since Q4 2024.
- On a year-over-year basis, Enterprise Value increased in three of the last eight quarters, with an average decline of 2.7%.
- The strongest year-over-year quarter for Enterprise Value in the past five years was Q1 2024, with growth of 146.6%; the weakest was Q3 2022, with a decline of 65.5%.
- According to Business Quant data, Enterprise Value for the three prior quarters was $135.66 million (Q1 2026), $128.58 million (Q4 2025) and $154.53 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Nike | 53.94 Bn | 19.93 Bn | 5.39 Bn |
| 2 | Tapestry | 22.74 Bn | 18.69 Bn | 1.56 Bn |
| 3 | Ralph Lauren | 21.47 Bn | 13.57 Bn | 1.44 Bn |
| 4 | Deckers Outdoor | 11.15 Bn | 4.02 Bn | - |
| 5 | Lululemon Athletica | 10.72 Bn | 4.97 Bn | 1.46 Bn |
| 6 | Levi Strauss | 7.64 Bn | 4.29 Bn | 979.10 Mn |
| 7 | Gildan Activewear | 6.52 Bn | 5.51 Bn | 459.76 Mn |
| 8 | Birkenstock Holding | 6.06 Bn | 4.37 Bn | 493.89 Mn |
| 9 | Crocs | 5.89 Bn | 5.30 Bn | 700.71 Mn |
| 10 | Superior Group Of Companies | 200.12 Mn | 113.82 Mn | 56.12 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 186.42 Mn |
| Mar 31, 2026 | 135.66 Mn |
| Dec 31, 2025 | 128.58 Mn |
| Sep 30, 2025 | 154.53 Mn |
| Jun 30, 2025 | 142.93 Mn |
| Mar 31, 2025 | 157.95 Mn |
| Dec 31, 2024 | 253.73 Mn |
| Sep 30, 2024 | 234.61 Mn |
| Jun 30, 2024 | 304.17 Mn |
| Mar 31, 2024 | 254.57 Mn |
| Dec 31, 2023 | 203.73 Mn |
| Sep 30, 2023 | 110.69 Mn |
| Jun 30, 2023 | 135.35 Mn |
| Mar 31, 2023 | 103.24 Mn |
| Dec 31, 2022 | 147.03 Mn |
| Sep 30, 2022 | 126.16 Mn |
| Jun 30, 2022 | 279.34 Mn |
| Mar 31, 2022 | 280.34 Mn |
| Dec 31, 2021 | 344.90 Mn |
| Sep 30, 2021 | 365.31 Mn |
Superior Group Of Companies Enterprise Value 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=enterprise-value&ticker=SGC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "enterprise-value", "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=enterprise-value&ticker=SGC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();