Superior Group Of Companies (SGC) Long-Term Debt Repayments (2010 - 2026)
Superior Group Of Companies (SGC) reported Long-Term Debt Repayments of $1.41 million for Q2 2026, up 0.1% from $1.41 million a year earlier and up 0.1% from the prior quarter.
Superior Group Of Companies (SGC) Long-Term Debt Repayments (2010 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Superior Group Of Companies' Long-Term Debt Repayments came in at $5.63 million, unchanged year-over-year; for FY2025, it came in at $5.63 million, up 20.0% from FY2024.
- Long-Term Debt Repayments has a five-year compound annual growth rate of -52.6% (FY2020 to FY2025).
- By year, Long-Term Debt Repayments came in at $4.69 million in FY2024 (+25.0%), $3.75 million in FY2023 (-98.7%), $292.77 million in FY2022 (+31.3%) and $223.03 million in FY2021 (-4.7%).
- Five-year quarterly Long-Term Debt Repayments spans a low of -$48.06 million in Q4 2023 and a high of $189.6 million in Q3 2022.
- Year over year, Long-Term Debt Repayments gained in four of the last seven quarters, with growth averaging 0.9%.
- The high point for year-over-year Long-Term Debt Repayments in five years was Q3 2022 (growth of 199.9%); the low point was Q2 2024 (a decline of 94.5%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $1.41 million (Q1 2026), $1.41 million (Q4 2025) and $1.41 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 55.61 Bn | 21.81 Bn | 4.80 Bn | - |
| 2 | Tapestry | 23.35 Bn | 19.31 Bn | 1.56 Bn | - |
| 3 | Ralph Lauren | 22.85 Bn | 14.94 Bn | 1.44 Bn | 7.10 Mn |
| 4 | Deckers Outdoor | 12.33 Bn | 5.20 Bn | - | - |
| 5 | Lululemon Athletica | 11.11 Bn | 5.37 Bn | 1.46 Bn | - |
| 6 | Levi Strauss | 8.13 Bn | 4.72 Bn | 1.07 Bn | - |
| 7 | V F | 6.75 Bn | 3.37 Bn | 917.04 Mn | - |
| 8 | Gildan Activewear | 6.48 Bn | 5.40 Bn | 459.76 Mn | -25.30 Mn |
| 9 | Birkenstock Holding | 6.08 Bn | 4.40 Bn | 493.89 Mn | 534.46 Mn |
| 10 | Superior Group Of Companies | 185.54 Mn | 99.24 Mn | 56.12 Mn | 1.41 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.41 Mn |
| Mar 31, 2026 | 1.41 Mn |
| Dec 31, 2025 | 1.41 Mn |
| Sep 30, 2025 | 1.41 Mn |
| Jun 30, 2025 | 1.41 Mn |
| Mar 31, 2025 | 1.41 Mn |
| Dec 31, 2024 | 1.41 Mn |
| Sep 30, 2024 | 1.41 Mn |
| Jun 30, 2024 | 938,000.00 |
| Mar 31, 2024 | 937,000.00 |
| Dec 31, 2023 | -48.06 Mn |
| Sep 30, 2023 | 21.94 Mn |
| Jun 30, 2023 | 16.94 Mn |
| Mar 31, 2023 | 12.94 Mn |
| Dec 31, 2022 | 17.88 Mn |
| Sep 30, 2022 | 189.60 Mn |
| Jun 30, 2022 | 36.30 Mn |
| Mar 31, 2022 | 49.00 Mn |
| Dec 31, 2021 | 58.00 Mn |
| Sep 30, 2021 | 63.22 Mn |
Superior Group Of Companies Long-Term Debt Repayments 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=long-term-debt-repayments&ticker=SGC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-repayments", "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=long-term-debt-repayments&ticker=SGC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();