Superior Group Of Companies (SGC) EBITDA (2010 - 2026)
Superior Group Of Companies (SGC) recorded EBITDA of $7.68 million in Q2 2026, up 26.6% from $6.06 million a year earlier and up 59.1% from the prior quarter.
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Analysis
Superior Group Of Companies (SGC) EBITDA (2010 - 2026) Analysis & Trends
On a TTM basis, Superior Group Of Companies' EBITDA came in at $28.64 million as of Jun 30, 2026, up 1.4% year-over-year; for FY2025, it was $25.74 million, down 23.9% from FY2024.
- Annual EBITDA has a five-year compound annual growth rate of -15.7% (FY2020 to FY2025).
- Across earlier years, EBITDA came in at $33.84 million in FY2024 (+1.1%), $33.48 million in FY2023 (+11.4%), $30.04 million in FY2022 (-43.6%) and $53.25 million in FY2021 (-11.8%).
- Quarterly EBITDA has ranged from $3.54 million in Q1 2025 to $13.1 million in Q3 2021 over the past five years.
- On a year-over-year basis, EBITDA has increased for three consecutive quarters, with an average decline of 1.0% over the last eight quarters.
- Peak year-over-year performance for EBITDA in the last five years was growth of 132.2% in Q4 2023, against a decline of 65.3% in Q2 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at $4.82 million (Q1 2026), $8.6 million (Q4 2025) and $7.54 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 53.94 Bn | 19.93 Bn | 5.39 Bn | 1.50 Bn |
| 2 | Tapestry | 22.74 Bn | 18.69 Bn | 1.56 Bn | 500.90 Mn |
| 3 | Ralph Lauren | 21.47 Bn | 13.57 Bn | 1.44 Bn | 401.30 Mn |
| 4 | Deckers Outdoor | 11.15 Bn | 4.02 Bn | - | - |
| 5 | Lululemon Athletica | 10.72 Bn | 4.97 Bn | 1.46 Bn | 595.99 Mn |
| 6 | Levi Strauss | 7.64 Bn | 4.29 Bn | 979.10 Mn | 179.40 Mn |
| 7 | Gildan Activewear | 6.52 Bn | 5.51 Bn | 459.76 Mn | 244.22 Mn |
| 8 | Birkenstock Holding | 6.06 Bn | 4.37 Bn | 493.89 Mn | 244.59 Mn |
| 9 | Crocs | 5.89 Bn | 5.30 Bn | 700.71 Mn | 305.72 Mn |
| 10 | Superior Group Of Companies | 200.12 Mn | 113.82 Mn | 56.12 Mn | 7.68 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 7.68 Mn |
| Mar 31, 2026 | 4.82 Mn |
| Dec 31, 2025 | 8.60 Mn |
| Sep 30, 2025 | 7.54 Mn |
| Jun 30, 2025 | 6.06 Mn |
| Mar 31, 2025 | 3.54 Mn |
| Dec 31, 2024 | 7.25 Mn |
| Sep 30, 2024 | 11.39 Mn |
| Jun 30, 2024 | 5.56 Mn |
| Mar 31, 2024 | 9.63 Mn |
| Dec 31, 2023 | 9.26 Mn |
| Sep 30, 2023 | 9.47 Mn |
| Jun 30, 2023 | 7.64 Mn |
| Mar 31, 2023 | 7.12 Mn |
| Dec 31, 2022 | 3.99 Mn |
| Sep 30, 2022 | 10.22 Mn |
| Jun 30, 2022 | 5.34 Mn |
| Mar 31, 2022 | 10.49 Mn |
| Dec 31, 2021 | 8.59 Mn |
| Sep 30, 2021 | 13.10 Mn |
API Access
Superior Group Of Companies EBITDA 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=ebitda&ticker=SGC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=SGC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();