Superior Group Of Companies (SGC) Retained Earnings (2010 - 2026)
Superior Group Of Companies' Retained Earnings came in at $110.21 million for Q2 2026, down 1.6% from $112.02 million a year earlier and down 0.9% from the prior quarter.
Superior Group Of Companies (SGC) Retained Earnings (2010 - 2026) Analysis & Trends
At the end of FY2025, Superior Group Of Companies' Retained Earnings was $112.87 million, down 6.0% from FY2024.
- Retained Earnings has declined in each of the last four years, with a five-year compound annual growth rate of -4.5% (FY2020 to FY2025).
- Going back by year, Retained Earnings was $120.14 million in FY2024 (-1.9%), $122.46 million in FY2023 (-0.4%), $122.98 million in FY2022 (-24.9%) and $163.84 million in FY2021 (+15.4%).
- The Q2 2026 figure represents the lowest quarterly Retained Earnings since Q1 2020.
- Year-over-year, Retained Earnings has declined for eight consecutive quarters, with an average decline of 4.4% over the last eight quarters.
- The fastest year-over-year change in Retained Earnings over five years came in Q3 2021 (growth of 23.3%), and the weakest in Q1 2023 (a decline of 27.2%).
- Business Quant data shows SGC's Retained Earnings at $111.23 million (Q1 2026), $112.87 million (Q4 2025) and $112.56 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Retained Earnings (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 56.18 Bn | 22.38 Bn | 4.80 Bn | -56.00 Mn |
| 2 | Tapestry | 23.99 Bn | 19.95 Bn | 1.56 Bn | -3.21 Bn |
| 3 | Ralph Lauren | 22.76 Bn | 14.85 Bn | 1.44 Bn | 8.51 Bn |
| 4 | Deckers Outdoor | 12.61 Bn | 5.48 Bn | - | 2.25 Bn |
| 5 | Lululemon Athletica | 11.29 Bn | 5.54 Bn | 1.46 Bn | 4.36 Bn |
| 6 | Levi Strauss | 8.02 Bn | 4.60 Bn | 1.07 Bn | 1.96 Bn |
| 7 | V F | 6.86 Bn | 3.48 Bn | 917.04 Mn | -1.04 Bn |
| 8 | Gildan Activewear | 6.55 Bn | 5.47 Bn | 459.76 Mn | 902.37 Mn |
| 9 | Birkenstock Holding | 6.11 Bn | 4.43 Bn | 493.89 Mn | 1.15 Bn |
| 10 | Superior Group Of Companies | 192.50 Mn | 106.19 Mn | 56.12 Mn | 110.21 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 110.21 Mn |
| Mar 31, 2026 | 111.23 Mn |
| Dec 31, 2025 | 112.87 Mn |
| Sep 30, 2025 | 112.56 Mn |
| Jun 30, 2025 | 112.02 Mn |
| Mar 31, 2025 | 114.83 Mn |
| Dec 31, 2024 | 120.14 Mn |
| Sep 30, 2024 | 121.05 Mn |
| Jun 30, 2024 | 122.11 Mn |
| Mar 31, 2024 | 123.95 Mn |
| Dec 31, 2023 | 122.46 Mn |
| Sep 30, 2023 | 121.31 Mn |
| Jun 30, 2023 | 120.49 Mn |
| Mar 31, 2023 | 121.57 Mn |
| Dec 31, 2022 | 122.98 Mn |
| Sep 30, 2022 | 123.06 Mn |
| Jun 30, 2022 | 137.99 Mn |
| Mar 31, 2022 | 166.91 Mn |
| Dec 31, 2021 | 163.84 Mn |
| Sep 30, 2021 | 161.51 Mn |
Superior Group Of Companies Retained Earnings 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=retained-earnings&ticker=SGC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "retained-earnings", "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=retained-earnings&ticker=SGC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();