
CAG
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 — CAG
Earnings Quality
Fiscal year 2025
Financial Forensics
Beneish M-Score · 2025
CAG exhibits a Beneish M-Score of -2.7283, indicating a low likelihood of earnings manipulation, as it is well below the threshold of -1.78. However, the earnings quality metrics reveal significant weaknesses, particularly in revenue and margin recognition, which could pose risks in financial reporting.
- Earnings Quality Score of 68.5/100 indicates potential issues, particularly with eq_margin and eq_revenue both at 0.0/100, suggesting aggressive revenue recognition practices.
- SGI at 1.2177 indicates above-average sales growth which may not be sustainable, raising concerns about the quality of reported earnings.
- Beneish M-Score of -2.7283 suggests a low likelihood of earnings manipulation, indicating a potential for more reliable financial reporting.
- High eq_accrual of 94.1/100 and eq_cash_conv of 100.0/100 suggest strong cash conversion and accrual quality, which are positive indicators for operational efficiency.
The majority state ownership at 53.0% may lead to potential conflicts of interest and influence over financial decisions, which could affect minority shareholders. However, the presence of individual and institutional investors may provide some level of oversight.
Investors should closely monitor CAG's revenue recognition practices and overall earnings quality, particularly given the elevated SGI. It may be prudent to adopt a cautious approach until clearer trends in financial performance and governance emerge.
Generated by AI based on quantitative data. Not financial advice.
Quantitative Scores
Key Ratios
Company Overview
// OWNERSHIP_NETWORK
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