H&E Equipment Services Inc

H&E Equipment Services Inc (HEES) Financials

$94.640

-0.596 (-0.63%)At close

HEES Revenue Streams

H&E Equipment Services Inc (HEES) generates its revenue through a diversified portfolio of business segments. Currently, the largest contributor to its top-line growth is Equipment Rental, accounting for 85.8% of total sales, equivalent to $274.03M. Other significant revenue streams include Sales of rental equipment and Partis service and other. Understanding this composition is critical for investors evaluating how HEES navigates market cycles within the Business Support Services industry.

HEES Profitability and Margins

Evaluating the bottom line, H&E Equipment Services Inc maintains a gross margin of 38.69%. This metric reflects the company's pricing power and manufacturing efficiency. Further down the income statement, the operating margin stands at 3.76%, while the net margin is -1.94%. These profitability ratios, combined with a Return on Equity (ROE) of 15.74%, provide a clear picture of how effectively HEES converts its operational activities into shareholder value.

HEES Comparative Benchmarking

In the context of the broader market, HEES competes directly with industry leaders such as HRI and MGRC. With a market capitalization of N/A, it holds a significant position in the sector. When comparing efficiency, HEES's gross margin of 38.69% stands against HRI's 25.08% and MGRC's 59.31%. Such benchmarking helps identify whether H&E Equipment Services Inc is trading at a premium or discount relative to its financial performance.

Financials

FY2025Q1
YoY:
-13.98%
319.45M
Total Revenue
FY2025Q1
YoY:
-76.25%
12.01M
Operating Profit
FY2025Q1
YoY:
-123.98%
-6.21M
Net Income after Tax
FY2025Q1
YoY:
-123.94%
-0.17
EPS - Diluted
FY2025Q1
YoY:
+415.16%
67.76M
Free Cash Flow
FY2025Q1
YoY:
-12.86%
38.69
Gross Profit Margin - %
FY2024Q4
YoY:
-112.60%
2.92
FCF Margin - %
FY2025Q1
YoY:
-127.83%
-1.94
Net Margin - %
FY2024Q4
YoY:
-26.03%
8.84
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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