MC.PA (MC.PA)
Quantitative Summary
DeterministicFinancial health is average: Piotroski 6/9, Altman Z 3.1.
Generated deterministically from quant metrics and financial statements. Not a recommendation.
Algorithmic Teardown
AI-GeneratedThe capital allocation efficiency of MC.PA demonstrates a robust spread between return on invested capital and the weighted average cost of capital at +2.9%, indicating value creation potential despite recent revenue contraction of -4.6% year-over-year. This earnings quality is underpinned by exceptional profitability drivers, specifically gross margins expanding to 66.2% and net margins holding steady at 13.5%, which suggests strong pricing power or favorable cost structures even as top-line growth stalls. Financial stability metrics reinforce this operational resilience; a Piotroski F-Score of 6/9 signals solid fundamental health relative to peers, while an Altman Z-Score of 3.1 places the entity in the "gray zone" between safety and distress, warranting close monitoring but not immediate alarm given the wide ROIC-WACC buffer.
Valuation analysis reveals a significant divergence between current market pricing and intrinsic value estimates derived from discounted cash flow modeling. The stock trades at a forward P/E of 21.1x, which appears compressed relative to its DCF-implied fair value of $471 per share, suggesting the market may be discounting future growth prospects more aggressively than fundamental metrics support. While the high gross margin profile typically commands premium multiples in mature sectors, the negative revenue trajectory introduces uncertainty regarding sustainable earnings power that could keep valuation ratios depressed until top-line momentum stabilizes or accelerates.
The risk-reward dynamic is further nuanced by the interplay between declining revenues and stable profitability margins; if the -4.6% revenue decline reverses without a corresponding erosion of margin quality, the current multiple compression offers asymmetric upside potential toward the DCF fair value target. However, investors must weigh the Altman Z-Score proximity to distress thresholds against the strong ROIC generation, as any further deterioration in liquidity or leverage could rapidly shift the risk profile from opportunity to threat despite the attractive spread between returns and cost of capital.
Generated by LLM from quantitative data inputs. May contain inaccuracies. Not investment advice.
DCF Sandbox
InteractiveSensitivity Matrix
| TG ↓ / WACC → | 7.7% | 9.7% | 11.7% |
|---|---|---|---|
| 2% | $575 | $423 | $333 |
| 3% | $676 | $471 | $361 |
| 4% | $830 | $537 | $396 |
Center = base case. Green = >10% upside, Red = >10% downside vs —.
Pre-computed DCF: WACC=9.7%, terminal growth 3%. Fair value $471 (+0.0%). Not investment advice.
Price Chart with Moving Averages
Quant Health Deep Dive
Profitability & Value Creation
✅ Conservative payout — room for dividend increases.
Balance Sheet Health
Underwater (Drawdown from Peak)
How far below the all-time high the price has been over time. Deeper = more pain for holders.
Rolling 60-Day Beta vs S&P 500 (VOO)
How the stock's sensitivity to market moves changes over time. β > 1 = more volatile than the market.
Fundamentals
ETF Contagion Visualizer
Simulate a price drop in MC.PA to visualize passive redemption contagion across ETFs and collateral stocks.
If MC.PA (MC.PA) experiences a significant drawdown, ETF redemptions can create collateral selling pressure on co-held stocks. Our model identifies ASML Holding NV (ASML.AS) as the most exposed collateral stock, sharing 1 ETFs with MC.PA. This is the "Passive Contagion" effect described in the Inelastic Market Hypothesis.
Contagion model based on shared ETF exposure and constituent weights across 1 tracked ETFs. Estimated selling pressure is a simplified model — actual impact depends on market liquidity, ETF redemption mechanics, and market-maker activity.
MC.PA Ownership Dynamics
ETFs with Highest MC.PA Exposure
Float lock-up computed from 0 ETFs tracked by SecuritiesDB. Actual passive ownership is higher (includes mutual funds, pension funds, etc.).
MC.PA Capital Efficiency
How efficiently does MC.PA convert operating profits into free cash? The FCF Conversion ratio measures the gap between accounting earnings and real cash generation.
MC.PA converts 55% of its EBITDA into free cash flow, a healthy conversion rate indicating efficient capital management — the business generates substantial cash after reinvestment. The positive ROIC-WACC spread of 2.9% confirms that reinvested capital creates shareholder value.
Capital efficiency = Free Cash Flow ÷ EBITDA. Reinvestment = (EBITDA − FCF) ÷ EBITDA. Metrics from latest annual filings. Not investment advice.
Compare MC.PA to Peers
Quant metrics computed deterministically from financial statements and price data. Updated: N/A.
SecuritiesDB provides programmatic data aggregation for informational purposes only. None of the metrics, summaries, or algorithmic flags constitute a recommendation to buy or sell any security.