
PLA
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 — PLA
Earnings Quality
Fiscal year 2024
Financial Forensics
Beneish M-Score · 2024
The Beneish M-Score of -2.4581 suggests that PLA is unlikely to be manipulating earnings, as it is below the threshold of -1.78. However, the earnings quality score of 48.4 indicates significant concerns, particularly in revenue recognition and margins, which could pose risks to investors.
- Earnings Quality Score of 48.4/100 indicates weak revenue recognition (0.0/100) and margins (0.0/100), raising concerns about the sustainability of earnings.
- The DSRI of 1.2390 suggests that accounts receivable are growing faster than revenue, which may indicate potential issues with revenue collection.
- The eq_cash_conv score of 100.0/100 indicates strong cash conversion, suggesting that the company is effectively turning sales into cash.
- The GMI of 0.9572 indicates that gross margins are stable, which is a positive sign in a competitive market.
The top shareholder, Công ty TNHH MTV - Tổng Công ty Xây Lắp Và Thương Mại Petrolimex, holds a significant 51.0% stake, indicating potential concentration risk and limited influence from minority shareholders.
Investors should closely monitor revenue recognition practices and consider the implications of the ownership structure on governance. It may be prudent to adopt a cautious approach until further clarity on earnings quality is established.
Generated by AI based on quantitative data. Not financial advice.
Quantitative Scores
Key Ratios
Company Overview
// OWNERSHIP_NETWORK
> mapping common ownership for PLA — hover nodes for intel, click to navigate