Superior Group Of Companies (SGC) Sales of Property, Plant and Equipment (2010 - 2020)
Superior Group Of Companies' Sales of Property, Plant and Equipment came in at $4.8 million for FY2022.
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Analysis
Superior Group Of Companies (SGC) Sales of Property, Plant and Equipment (2010 - 2020) Analysis & Trends
Going back to FY2010, Superior Group Of Companies' Sales of Property, Plant and Equipment data covers 8 years.
- Sales of Property, Plant and Equipment carries a five-year compound annual growth rate of 10.9% (FY2017 to FY2022).
- The FY2022 figure represents the lowest annual Sales of Property, Plant and Equipment since FY2019.
- Per Business Quant, earlier years put Sales of Property, Plant and Equipment at $5.3 million in FY2020 and $5,000 in FY2019.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PP&E (Sale) (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 55.42 Bn | 21.62 Bn | 4.80 Bn | - |
| 2 | Ralph Lauren | 22.70 Bn | 14.79 Bn | 1.44 Bn | - |
| 3 | Tapestry | 22.12 Bn | 18.08 Bn | 1.56 Bn | - |
| 4 | Deckers Outdoor | 11.53 Bn | 4.41 Bn | - | - |
| 5 | Lululemon Athletica | 10.55 Bn | 4.80 Bn | 1.46 Bn | - |
| 6 | Levi Strauss | 8.17 Bn | 4.75 Bn | 1.07 Bn | - |
| 7 | Gildan Activewear | 7.49 Bn | 6.41 Bn | 459.76 Mn | - |
| 8 | V F | 6.78 Bn | 3.40 Bn | 917.04 Mn | 22.51 Mn |
| 9 | Birkenstock Holding | 5.99 Bn | 4.31 Bn | 493.89 Mn | 103,450.21 |
| 10 | Superior Group Of Companies | 204.58 Mn | 118.28 Mn | 56.12 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2020 | 5.30 Mn |
| Sep 30, 2019 | 2,000.00 |
| Mar 31, 2019 | 3,000.00 |
| Sep 30, 2017 | 48,000.00 |
| Jun 30, 2017 | 2,000.00 |
| Mar 31, 2017 | 2.81 Mn |
| Dec 31, 2011 | 12,063.00 |
| Sep 30, 2011 | 13,738.00 |
| Dec 31, 2010 | 341.00 |
| Sep 30, 2010 | 9,002.00 |
API Access
Superior Group Of Companies Sales of Property, Plant and Equipment 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=sales-of-property-plant-and-equipment&ticker=SGC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "sales-of-property-plant-and-equipment", "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=sales-of-property-plant-and-equipment&ticker=SGC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();