Superior Group Of Companies (SGC) Assets (2010 - 2026)
Superior Group Of Companies (SGC) posted Assets of $408.52 million for Q2 2026, down 3.5% from $423.26 million a year earlier but up 0.5% from the prior quarter.
Powered by 
Analysis
Superior Group Of Companies (SGC) Assets (2010 - 2026) Analysis & Trends
At the end of FY2025, Superior Group Of Companies' Assets came in at $421.84 million, up 1.6% from FY2024.
- Annual Assets shows a five-year compound annual growth rate of 1.4% (FY2020 to FY2025).
- In prior years, Superior Group Of Companies' Assets was $415.13 million in FY2024 (-1.7%), $422.45 million in FY2023 (-7.5%), $456.94 million in FY2022 (-2.8%) and $470.25 million in FY2021 (+19.4%).
- Quarterly Assets has run from a low of $400.32 million in Q2 2024 to a high of $485.37 million in Q1 2022 over five years.
- On a year-over-year basis, Assets increased in four of the last eight quarters, with an average year-over-year change of 0.0%.
- The strongest year-over-year quarter for Assets in the past five years was Q4 2021, with growth of 19.4%; the weakest was Q3 2023, with a decline of 9.7%.
- According to Business Quant data, Assets for the three prior quarters was $406.52 million (Q1 2026), $421.84 million (Q4 2025) and $415.27 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 55.70 Bn | 21.90 Bn | 4.80 Bn | 37.79 Bn |
| 2 | Tapestry | 23.51 Bn | 19.47 Bn | 1.56 Bn | 6.69 Bn |
| 3 | Ralph Lauren | 22.86 Bn | 14.96 Bn | 1.44 Bn | 7.66 Bn |
| 4 | Deckers Outdoor | 12.32 Bn | 5.19 Bn | - | 3.69 Bn |
| 5 | Lululemon Athletica | 10.92 Bn | 5.17 Bn | 1.46 Bn | 8.48 Bn |
| 6 | Levi Strauss | 8.09 Bn | 4.67 Bn | 1.07 Bn | 6.93 Bn |
| 7 | V F | 6.73 Bn | 3.35 Bn | 917.04 Mn | 9.46 Bn |
| 8 | Gildan Activewear | 6.45 Bn | 5.37 Bn | 459.76 Mn | 10.06 Bn |
| 9 | Birkenstock Holding | 6.04 Bn | 4.36 Bn | 493.89 Mn | 6.47 Bn |
| 10 | Superior Group Of Companies | 182.10 Mn | 95.80 Mn | 56.12 Mn | 408.52 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 408.52 Mn |
| Mar 31, 2026 | 406.52 Mn |
| Dec 31, 2025 | 421.84 Mn |
| Sep 30, 2025 | 415.27 Mn |
| Jun 30, 2025 | 423.26 Mn |
| Mar 31, 2025 | 410.97 Mn |
| Dec 31, 2024 | 415.13 Mn |
| Sep 30, 2024 | 407.35 Mn |
| Jun 30, 2024 | 400.32 Mn |
| Mar 31, 2024 | 408.48 Mn |
| Dec 31, 2023 | 422.45 Mn |
| Sep 30, 2023 | 422.06 Mn |
| Jun 30, 2023 | 435.28 Mn |
| Mar 31, 2023 | 450.42 Mn |
| Dec 31, 2022 | 456.94 Mn |
| Sep 30, 2022 | 467.31 Mn |
| Jun 30, 2022 | 473.68 Mn |
| Mar 31, 2022 | 485.37 Mn |
| Dec 31, 2021 | 470.25 Mn |
| Sep 30, 2021 | 422.53 Mn |
API Access
Superior Group Of Companies Assets 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=assets&ticker=SGC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "assets", "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=assets&ticker=SGC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();