
VC1
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 — VC1
Earnings Quality
Fiscal year 2025
Financial Forensics
Beneish M-Score · 2025
VC1 exhibits several concerning indicators of potential financial manipulation, particularly with a Beneish M-Score of -3.0126, well below the manipulation threshold of -1.78. Despite a relatively strong earnings quality score of 69.1, the high SGAI of 1.6955 and a revenue quality score of 0.0 raise significant red flags regarding revenue recognition practices.
- Beneish M-Score of -3.0126 indicates potential earnings manipulation, significantly below the threshold of -1.78.
- SGAI of 1.6955 suggests excessive spending on sales and marketing, which could be unsustainable.
- Revenue quality score of 0.0 indicates potential issues with revenue recognition, raising concerns about the reliability of reported revenues.
- Earnings quality score of 69.1/100 indicates a reasonable level of earnings quality, with strong cash conversion metrics (eq_cash_conv: 100.0/100).
- High institutional ownership (76.3% combined) suggests a level of confidence from professional investors, which may provide stability.
The high concentration of ownership among institutions (76.3%) may lead to governance risks, as decisions may favor institutional interests over minority shareholders. However, this also provides a level of oversight.
Investors should closely monitor VC1's financial disclosures and consider a cautious approach given the elevated risk of earnings manipulation. It may be prudent to wait for clearer signals of financial stability before making significant investments.
Generated by AI based on quantitative data. Not financial advice.
Quantitative Scores
Key Ratios
Company Overview
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