Superior Group Of Companies (SGC) Other Accumulated Expenses (2010 - 2026)
Superior Group Of Companies' Other Accumulated Expenses came in at $49.73 million for Q2 2026, up 19.5% from $41.61 million a year earlier and up 2.9% from the prior quarter.
Superior Group Of Companies (SGC) Other Accumulated Expenses (2010 - 2026) Analysis & Trends
At the end of FY2025, Superior Group Of Companies' Other Accumulated Expenses was $53.04 million, up 19.6% from FY2024.
- Other Accumulated Expenses has increased in each of the last three years, with a five-year compound annual growth rate of 3.5% (FY2020 to FY2025).
- Going back by year, Other Accumulated Expenses was $44.37 million in FY2024 (+0.9%), $43.98 million in FY2023 (+13.8%), $38.65 million in FY2022 (-0.9%) and $38.99 million in FY2021 (-12.7%).
- The five-year range for quarterly Other Accumulated Expenses is $31.61 million (Q1 2023) to $53.04 million (Q4 2025).
- Year-over-year, Other Accumulated Expenses has increased for five consecutive quarters, with growth averaging 10.1% over the last eight quarters.
- The fastest year-over-year change in Other Accumulated Expenses over five years came in Q1 2024 (growth of 27.9%), and the weakest in Q3 2021 (a decline of 27.7%).
- Business Quant data shows SGC's Other Accumulated Expenses at $48.32 million (Q1 2026), $53.04 million (Q4 2025) and $42.9 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Nike | 55.41 Bn | 21.61 Bn | 4.80 Bn |
| 2 | Ralph Lauren | 22.71 Bn | 14.81 Bn | 1.44 Bn |
| 3 | Tapestry | 22.52 Bn | 18.48 Bn | 1.56 Bn |
| 4 | Deckers Outdoor | 11.67 Bn | 4.54 Bn | - |
| 5 | Lululemon Athletica | 11.17 Bn | 5.42 Bn | 1.46 Bn |
| 6 | Levi Strauss | 8.19 Bn | 4.77 Bn | 1.07 Bn |
| 7 | V F | 6.76 Bn | 3.38 Bn | 917.04 Mn |
| 8 | Gildan Activewear | 6.48 Bn | 5.40 Bn | 459.76 Mn |
| 9 | Birkenstock Holding | 6.08 Bn | 4.40 Bn | 493.89 Mn |
| 10 | Superior Group Of Companies | 185.47 Mn | 99.16 Mn | 56.12 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 49.73 Mn |
| Mar 31, 2026 | 48.32 Mn |
| Dec 31, 2025 | 53.04 Mn |
| Sep 30, 2025 | 42.90 Mn |
| Jun 30, 2025 | 41.61 Mn |
| Mar 31, 2025 | 38.48 Mn |
| Dec 31, 2024 | 44.37 Mn |
| Sep 30, 2024 | 42.38 Mn |
| Jun 30, 2024 | 39.34 Mn |
| Mar 31, 2024 | 40.41 Mn |
| Dec 31, 2023 | 43.98 Mn |
| Sep 30, 2023 | 37.43 Mn |
| Jun 30, 2023 | 34.18 Mn |
| Mar 31, 2023 | 31.61 Mn |
| Dec 31, 2022 | 38.65 Mn |
| Sep 30, 2022 | 40.25 Mn |
| Jun 30, 2022 | 40.63 Mn |
| Mar 31, 2022 | 32.99 Mn |
| Dec 31, 2021 | 38.99 Mn |
| Sep 30, 2021 | 36.07 Mn |
Superior Group Of Companies Other Accumulated Expenses 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=other-accumulated-expenses&ticker=SGC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-accumulated-expenses", "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=other-accumulated-expenses&ticker=SGC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();