
LHC
ConstructionValuation Breakdown
Construction and industrial firms have characteristics of both cyclical businesses (lumpy project-based revenue) and growth companies (expanding order books). This model blends two approaches 50/50: EV/EBITDA valuation (captures current earning power relative to peers) and FCF-based DCF (captures future cash generation potential). If EV/EBITDA produces a negative value (debt exceeds enterprise value), only DCF is used.
Valuation Track Record
Retroactive intrinsic value vs actual close price — LHC
Earnings Quality
Fiscal year 2025
Financial Forensics
Beneish M-Score · 2025
LHC exhibits several concerning indicators of potential earnings manipulation, as evidenced by a Beneish M-Score of -1.8936, which exceeds the manipulation threshold of -1.78. Additionally, the company's earnings quality score of 58.9 suggests significant weaknesses in cash conversion and revenue recognition.
- Beneish M-Score of -1.8936 indicates potential earnings manipulation, exceeding the threshold of -1.78.
- Earnings quality cash conversion score of 37.4/100 is particularly low, indicating poor cash flow relative to reported earnings.
- Revenue quality score of 0.0/100 suggests significant issues in revenue recognition practices.
- Receivables quality score of 100.0/100 indicates strong management of accounts receivable, which is a positive sign for cash collection.
- The company's DSRI of 1.1566 is slightly above 1, indicating that inventory growth is in line with revenue growth, which could suggest stability.
The ownership structure is heavily concentrated among a few individuals, with the top five shareholders holding over 34% of the company. This concentration could lead to governance risks and potential conflicts of interest.
Investors should exercise caution and conduct further due diligence, particularly focusing on cash flow analysis and revenue recognition practices. Monitoring future earnings reports for improvements in cash conversion and overall earnings quality is recommended.
Generated by AI based on quantitative data. Not financial advice.
Quantitative Scores
Key Ratios
Company Overview
// OWNERSHIP_NETWORK
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