Superior Group Of Companies (SGC) Non-Current Assets (2010 - 2026)
Superior Group Of Companies' Non-Current Assets was $129.05 million in Q2 2026, down 6.3% from $137.67 million a year earlier and down 2.1% from the prior quarter.
Superior Group Of Companies (SGC) Non-Current Assets (2010 - 2026) Analysis & Trends
At the end of FY2025, Non-Current Assets at Superior Group Of Companies came in at $134.18 million, down 5.6% from FY2024.
- Non-Current Assets shows a five-year compound annual growth rate of -1.6% (FY2020 to FY2025).
- In earlier years, Non-Current Assets was $142.08 million in FY2024 (-0.7%), $143.09 million in FY2023 (+3.0%), $138.96 million in FY2022 (-18.7%) and $170.98 million in FY2021 (+17.5%).
- The Q2 2026 figure marks the lowest quarterly Non-Current Assets since Q1 2018.
- Compared with a year earlier, Non-Current Assets has declined for ten straight quarters, with an average decline of 3.1% over the last eight quarters.
- The best year-over-year quarter for Non-Current Assets over five years was Q4 2021 (growth of 17.5%); the worst was Q4 2022 (a decline of 18.7%).
- Per Business Quant data, SGC's Non-Current Assets in the three quarters before Q2 2026 was $131.79 million (Q1 2026), $134.18 million (Q4 2025) and $135.24 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 55.75 Bn | 21.95 Bn | 4.80 Bn | 14.12 Bn |
| 2 | Tapestry | 23.82 Bn | 19.78 Bn | 1.56 Bn | 3.81 Bn |
| 3 | Ralph Lauren | 22.80 Bn | 14.89 Bn | 1.44 Bn | 3.82 Bn |
| 4 | Deckers Outdoor | 12.35 Bn | 5.22 Bn | - | 837.35 Mn |
| 5 | Lululemon Athletica | 11.05 Bn | 5.30 Bn | 1.46 Bn | 4.54 Bn |
| 6 | Levi Strauss | 8.11 Bn | 4.69 Bn | 1.07 Bn | 3.69 Bn |
| 7 | V F | 6.77 Bn | 3.39 Bn | 917.04 Mn | 5.26 Bn |
| 8 | Gildan Activewear | 6.51 Bn | 5.43 Bn | 459.76 Mn | 5.52 Bn |
| 9 | Birkenstock Holding | 6.07 Bn | 4.40 Bn | 493.89 Mn | 4.31 Bn |
| 10 | Superior Group Of Companies | 186.55 Mn | 100.25 Mn | 56.12 Mn | 129.05 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 129.05 Mn |
| Mar 31, 2026 | 131.79 Mn |
| Dec 31, 2025 | 134.18 Mn |
| Sep 30, 2025 | 135.24 Mn |
| Jun 30, 2025 | 137.67 Mn |
| Mar 31, 2025 | 138.97 Mn |
| Dec 31, 2024 | 142.08 Mn |
| Sep 30, 2024 | 135.88 Mn |
| Jun 30, 2024 | 138.07 Mn |
| Mar 31, 2024 | 140.95 Mn |
| Dec 31, 2023 | 143.09 Mn |
| Sep 30, 2023 | 143.23 Mn |
| Jun 30, 2023 | 142.83 Mn |
| Mar 31, 2023 | 143.10 Mn |
| Dec 31, 2022 | 138.96 Mn |
| Sep 30, 2022 | 138.58 Mn |
| Jun 30, 2022 | 155.29 Mn |
| Mar 31, 2022 | 173.12 Mn |
| Dec 31, 2021 | 170.98 Mn |
| Sep 30, 2021 | 164.70 Mn |
Superior Group Of Companies Non-Current 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=non-current-assets&ticker=SGC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-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=non-current-assets&ticker=SGC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();