Superior Industries International Inc

Superior Industries International Inc (SUP) Financials

$0.325

+0.020 (+6.14%)At close

SUP Revenue Streams

Superior Industries International Inc (SUP) generates its revenue through a diversified portfolio of business segments. Currently, the largest contributor to its top-line growth is North America, accounting for 63.7% of total sales, equivalent to $203.20M. Another important revenue stream is Europe. Understanding this composition is critical for investors evaluating how SUP navigates market cycles within the Auto, Truck & Motorcycle Parts industry.

SUP Profitability and Margins

Evaluating the bottom line, Superior Industries International Inc maintains a gross margin of 5.01%. This metric reflects the company's pricing power and manufacturing efficiency. Further down the income statement, the operating margin stands at 0.19%, while the net margin is -4.02%. These profitability ratios, combined with a Return on Equity (ROE) of N/A, provide a clear picture of how effectively SUP converts its operational activities into shareholder value.

SUP Comparative Benchmarking

In the context of the broader market, SUP competes directly with industry leaders such as ECDA and CREV. With a market capitalization of N/A, it holds a significant position in the sector. When comparing efficiency, SUP's gross margin of 5.01% stands against ECDA's -29.34% and CREV's 2.41%. Such benchmarking helps identify whether Superior Industries International Inc is trading at a premium or discount relative to its financial performance.

Financials

FY2025Q1
YoY:
+1.68%
321.60M
Total Revenue
FY2025Q1
YoY:
+98.09%
622.00K
Operating Profit
FY2025Q1
YoY:
-60.52%
-12.93M
Net Income after Tax
FY2025Q1
YoY:
-39.47%
-0.92
EPS - Diluted
FY2025Q1
YoY:
-657.27%
17.54M
Free Cash Flow
FY2025Q1
YoY:
-25.11%
5.01
Gross Profit Margin - %
FY2025Q1
YoY:
-465.22%
0.84
FCF Margin - %
FY2025Q1
YoY:
-61.16%
-4.02
Net Margin - %
FY2023Q2
YoY:
-73.93%
0.67
ROIC

This page is for research only and is not investment advice. Models can be wrong. Past performance does not guarantee future results.

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