MUV2.DE (MUV2.DE)
Quantitative Summary
DeterministicFinancial health is average: Piotroski 4/9, Altman Z 0.6.
Generated deterministically from quant metrics and financial statements. Not a recommendation.
Algorithmic Teardown
AI-GeneratedThe capital allocation efficiency for MUV2.DE presents a significant structural constraint, evidenced by an ROIC of 2.5% that falls sharply below the 7.6% cost of equity, resulting in a negative spread of -5.1%. This indicates the firm is currently destroying value relative to its financing costs rather than generating excess returns on deployed capital. While the DuPont decomposition reveals healthy profit margins at 9.8%, this operational strength appears insufficient to offset declining revenue momentum, which contracted by 3.3% year-over-year. Compounding these fundamental weaknesses are deteriorating financial health indicators; a Piotroski F-Score of 4/9 suggests moderate financial distress relative to peers, while an Altman Z-Score of 0.6 places the entity in the "gray zone" between safe and potential bankruptcy territory, signaling elevated solvency risks that warrant close monitoring.
Valuation metrics currently reflect a market price that appears detached from intrinsic value models derived from cash flow assumptions. The stock trades at a P/E multiple of 11.2x; without specific sector benchmarks provided for comparison, this figure must be evaluated strictly against the company's impaired growth trajectory and negative capital returns. More critically, discounted cash flow analysis implies a substantial gap between current market pricing and a calculated fair value of $1437, suggesting that if these model inputs hold true, the asset is significantly undervalued on an absolute basis. However, such a wide divergence typically requires a fundamental inflection in profitability or growth to materialize, as the negative ROIC-WACC spread acts as a headwind against future cash flow generation assumptions embedded in the DCF framework.
The convergence of low financial stability scores and negative capital returns creates a high-risk environment where downside protection is fragile despite seemingly attractive valuation multiples. The proximity of the Altman Z-Score to failure thresholds implies that any further deterioration in liquidity or profitability could trigger rapid de-rating, potentially invalidating current fair value estimates before they can be realized by investors. Consequently, the risk/reward profile hinges entirely on whether management can reverse the negative spread and stabilize revenue trends; absent such a turnaround, the combination of weak fundamentals and precarious solvency metrics suggests that price discovery may remain volatile or suppressed regardless of theoretical valuation gaps.
Generated by LLM from quantitative data inputs. May contain inaccuracies. Not investment advice.
DCF Sandbox
InteractiveSensitivity Matrix
| TG ↓ / WACC → | 6% | 7.6% | 9.6% |
|---|---|---|---|
| 2% | $1727 | $1210 | $871 |
| 3% | $2246 | $1437 | $979 |
| 4% | $3284 | $1792 | $1127 |
Center = base case. Green = >10% upside, Red = >10% downside vs —.
Pre-computed DCF: WACC=7.6%, terminal growth 3%. Fair value $1437 (+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
Earnings Surprise History
EPS estimates vs actuals for the most recent reported quarters. Source: yfinance.
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 MUV2.DE to visualize passive redemption contagion across ETFs and collateral stocks.
If MUV2.DE (MUV2.DE) experiences a significant drawdown, ETF redemptions can create collateral selling pressure on co-held stocks. Our model identifies Siemens AG (SIE.DE) as the most exposed collateral stock, sharing 1 ETFs with MUV2.DE. 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.
MUV2.DE Ownership Dynamics
ETFs with Highest MUV2.DE Exposure
Float lock-up computed from 0 ETFs tracked by SecuritiesDB. Actual passive ownership is higher (includes mutual funds, pension funds, etc.).
MUV2.DE Capital Efficiency
How efficiently does MUV2.DE convert operating profits into free cash? The FCF Conversion ratio measures the gap between accounting earnings and real cash generation.
MUV2.DE converts 49% of its EBITDA into free cash flow, a healthy conversion rate indicating efficient capital management — the business generates substantial cash after reinvestment. The 51% reinvestment rate signals aggressive capacity expansion. However, the ROIC-WACC spread is negative (-5.1%), suggesting reinvested capital is destroying shareholder value.
Capital efficiency = Free Cash Flow ÷ EBITDA. Reinvestment = (EBITDA − FCF) ÷ EBITDA. Metrics from latest annual filings. Not investment advice.
Compare MUV2.DE 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.