Superior Group Of Companies (SGC) EBIT (2010 - 2026)
Superior Group Of Companies (SGC) posted EBIT of $4.79 million for Q2 2026, up 55.3% from $3.09 million a year earlier and up 143.7% from the prior quarter.
Superior Group Of Companies (SGC) EBIT (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, EBIT at Superior Group Of Companies was $16.72 million, up 7.8% year-over-year; for FY2025, it came in at $13.39 million, down 35.2% from FY2024.
- Annual EBIT shows a five-year compound annual growth rate of -23.8% (FY2020 to FY2025).
- In prior years, Superior Group Of Companies' EBIT was $20.65 million in FY2024 (+6.0%), $19.49 million in FY2023 (+14.4%), $17.04 million in FY2022 (-61.2%) and $43.95 million in FY2021 (-15.9%).
- Quarterly EBIT has run from a low of $339,000 in Q1 2025 to a high of $10.76 million in Q3 2021 over five years.
- On a year-over-year basis, EBIT has increased in each of the last three quarters, with growth averaging 60.2% over the last eight quarters.
- The strongest year-over-year quarter for EBIT in the past five years was Q1 2026, with growth of 479.9%; the weakest was Q1 2025, with a decline of 94.7%.
- According to Business Quant data, EBIT for the three prior quarters was $1.97 million (Q1 2026), $5.4 million (Q4 2025) and $4.57 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBIT (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 56.18 Bn | 22.38 Bn | 4.80 Bn | 888.00 Mn |
| 2 | Tapestry | 23.99 Bn | 19.95 Bn | 1.56 Bn | 442.30 Mn |
| 3 | Ralph Lauren | 22.76 Bn | 14.85 Bn | 1.44 Bn | 342.40 Mn |
| 4 | Deckers Outdoor | 12.61 Bn | 5.48 Bn | - | - |
| 5 | Lululemon Athletica | 11.29 Bn | 5.54 Bn | 1.46 Bn | 453.65 Mn |
| 6 | Levi Strauss | 8.02 Bn | 4.60 Bn | 1.07 Bn | 222.30 Mn |
| 7 | V F | 6.86 Bn | 3.48 Bn | 917.04 Mn | -83.07 Mn |
| 8 | Gildan Activewear | 6.55 Bn | 5.47 Bn | 459.76 Mn | 175.90 Mn |
| 9 | Birkenstock Holding | 6.11 Bn | 4.43 Bn | 493.89 Mn | 236.02 Mn |
| 10 | Superior Group Of Companies | 192.50 Mn | 106.19 Mn | 56.12 Mn | 4.79 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 4.79 Mn |
| Mar 31, 2026 | 1.97 Mn |
| Dec 31, 2025 | 5.40 Mn |
| Sep 30, 2025 | 4.57 Mn |
| Jun 30, 2025 | 3.09 Mn |
| Mar 31, 2025 | 339,000.00 |
| Dec 31, 2024 | 3.94 Mn |
| Sep 30, 2024 | 8.14 Mn |
| Jun 30, 2024 | 2.19 Mn |
| Mar 31, 2024 | 6.38 Mn |
| Dec 31, 2023 | 5.59 Mn |
| Sep 30, 2023 | 5.95 Mn |
| Jun 30, 2023 | 4.21 Mn |
| Mar 31, 2023 | 3.73 Mn |
| Dec 31, 2022 | 486,000.00 |
| Sep 30, 2022 | 6.82 Mn |
| Jun 30, 2022 | 2.16 Mn |
| Mar 31, 2022 | 7.57 Mn |
| Dec 31, 2021 | 6.02 Mn |
| Sep 30, 2021 | 10.76 Mn |
Superior Group Of Companies EBIT 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=ebit&ticker=SGC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebit", "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=ebit&ticker=SGC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();