Superior Group Of Companies (SGC) Cash & Equivalents (2010 - 2026)
Superior Group Of Companies (SGC) reported Cash & Equivalents of $22.79 million for Q2 2026, up 8.4% from $21.03 million a year earlier but down 1.7% from the prior quarter.
Superior Group Of Companies (SGC) Cash & Equivalents (2010 - 2026) Analysis & Trends
At the end of FY2025, Superior Group Of Companies posted Cash & Equivalents of $23.69 million, up 26.2% from FY2024.
- Cash & Equivalents has a five-year compound annual growth rate of 35.6% (FY2020 to FY2025).
- By year, Cash & Equivalents came in at $18.77 million in FY2024 (-5.7%), $19.9 million in FY2023 (+12.3%), $17.72 million in FY2022 (+98.3%) and $8.94 million in FY2021 (+72.8%).
- Five-year quarterly Cash & Equivalents spans a low of $6.41 million in Q3 2021 and a high of $26.6 million in Q1 2023.
- Year over year, Cash & Equivalents has now increased in each of the last three quarters, with growth averaging 10.9% over the last eight quarters.
- The high point for year-over-year Cash & Equivalents in five years was Q1 2023 (growth of 219.9%); the low point was Q2 2024 (a decline of 28.7%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $23.17 million (Q1 2026), $23.69 million (Q4 2025) and $16.65 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 55.66 Bn | 21.86 Bn | 4.80 Bn | 6.90 Bn |
| 2 | Tapestry | 22.62 Bn | 18.57 Bn | 1.56 Bn | 974.70 Mn |
| 3 | Ralph Lauren | 22.31 Bn | 14.41 Bn | 1.44 Bn | 1.72 Bn |
| 4 | Deckers Outdoor | 11.68 Bn | 4.55 Bn | - | 1.91 Bn |
| 5 | Lululemon Athletica | 11.19 Bn | 5.44 Bn | 1.46 Bn | 1.39 Bn |
| 6 | Levi Strauss | 8.04 Bn | 4.62 Bn | 1.07 Bn | 641.40 Mn |
| 7 | V F | 6.63 Bn | 3.25 Bn | 917.04 Mn | 670.06 Mn |
| 8 | Gildan Activewear | 6.38 Bn | 5.30 Bn | 459.76 Mn | 268.30 Mn |
| 9 | Birkenstock Holding | 6.14 Bn | 4.46 Bn | 493.89 Mn | 792.27 Mn |
| 10 | Superior Group Of Companies | 184.81 Mn | 98.51 Mn | 56.12 Mn | 22.79 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 22.79 Mn |
| Mar 31, 2026 | 23.17 Mn |
| Dec 31, 2025 | 23.69 Mn |
| Sep 30, 2025 | 16.65 Mn |
| Jun 30, 2025 | 21.03 Mn |
| Mar 31, 2025 | 19.76 Mn |
| Dec 31, 2024 | 18.77 Mn |
| Sep 30, 2024 | 18.37 Mn |
| Jun 30, 2024 | 13.37 Mn |
| Mar 31, 2024 | 22.04 Mn |
| Dec 31, 2023 | 19.90 Mn |
| Sep 30, 2023 | 17.73 Mn |
| Jun 30, 2023 | 18.75 Mn |
| Mar 31, 2023 | 26.60 Mn |
| Dec 31, 2022 | 17.72 Mn |
| Sep 30, 2022 | 18.91 Mn |
| Jun 30, 2022 | 10.31 Mn |
| Mar 31, 2022 | 8.32 Mn |
| Dec 31, 2021 | 8.94 Mn |
| Sep 30, 2021 | 6.41 Mn |
Superior Group Of Companies Cash & Equivalents 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=cash-and-equivalents&ticker=SGC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=SGC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();