ENR.DE (ENR.DE)
Quantitative Summary
DeterministicStrong operational fundamentals (Piotroski 7/9) with Altman Z of 2.2.
Generated deterministically from quant metrics and financial statements. Not a recommendation.
Algorithmic Teardown
AI-GeneratedThe capital allocation efficiency for this entity presents a notable divergence from traditional value investing criteria, characterized by an ROIC-WACC spread of -5.0%, indicating that current returns on invested capital fail to cover the cost of financing. Despite this negative economic moat in terms of absolute return generation, earnings quality metrics remain robust; a Piotroski F-Score of 7/9 signals strong fundamental stability and financial health, while an Altman Z-Score of 2.2 suggests a moderate buffer against bankruptcy risk. This dichotomy is further illuminated by the DuPont components: although net margins are compressed at 3.6%, they are supported by healthy gross margins of 16.8% and accelerating revenue growth of 13.4% year-over-year, implying that top-line expansion may be driving profitability despite thin operating spreads.
Valuation metrics reflect a significant premium relative to historical norms and sector peers, with the current P/E ratio standing at 65.6x. This multiple appears disconnected from the underlying capital efficiency, as the DCF model implies a fair value of $95, suggesting that market pricing may be anticipating growth rates far exceeding what is currently realized or sustainable given the negative ROIC-WACC spread. The disparity between the high valuation multiple and the sub-par return on invested capital indicates that investors are likely pricing in aggressive future margin expansion or leverage increases rather than relying on current operational economics to justify the equity cost.
While the Piotroski score offers some comfort regarding financial stability, the combination of a negative ROIC-WACC spread and an elevated P/E ratio creates a scenario where downside protection relies heavily on continued revenue acceleration. The market's willingness to assign such a high multiple despite weak capital efficiency suggests that any deviation in growth trajectory or margin compression could lead to significant mean reversion in valuation multiples, as the current price does not appear anchored by intrinsic value derived from present cash flow generation capabilities.
Generated by LLM from quantitative data inputs. May contain inaccuracies. Not investment advice.
DCF Sandbox
InteractiveSensitivity Matrix
| TG ↓ / WACC → | 13.9% | 15.9% | 17.9% |
|---|---|---|---|
| 2% | $106 | $91 | $79 |
| 3% | $113 | $95 | $82 |
| 4% | $121 | $100 | $86 |
Center = base case. Green = >10% upside, Red = >10% downside vs —.
Pre-computed DCF: WACC=15.9%, terminal growth 3%. Fair value $95 (+0.0%). Not investment advice.
Price Chart with Moving Averages
Quant Health Deep Dive
Profitability & Value Creation
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
Passive Flow Attribution
ETF Draft EffectWhen investors buy or sell ETFs like EWG or EZU, the fund manager is mechanically forced to buy or sell ENR.DE shares regardless of ENR.DE's individual fundamentals. We estimate $314M of passive capital is structurally linked to ENR.DE through 2 tracked ETFs. Passive flows have a limited but growing influence on ENR.DE's daily trading dynamics.
Passive exposure = Σ (ETF AUM × stock weight in ETF) across 2 tracked ETFs. Actual passive ownership is larger (includes mutual funds). Not investment advice.
ETF Contagion Visualizer
Simulate a price drop in ENR.DE to visualize passive redemption contagion across ETFs and collateral stocks.
If ENR.DE (ENR.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 2 ETFs with ENR.DE. This is the "Passive Contagion" effect described in the Inelastic Market Hypothesis.
Contagion model based on shared ETF exposure and constituent weights across 2 tracked ETFs. Estimated selling pressure is a simplified model — actual impact depends on market liquidity, ETF redemption mechanics, and market-maker activity.
ENR.DE Ownership Dynamics
ETFs with Highest ENR.DE Exposure
Float lock-up computed from 0 ETFs tracked by SecuritiesDB. Actual passive ownership is higher (includes mutual funds, pension funds, etc.).
ENR.DE Capital Efficiency
How efficiently does ENR.DE convert operating profits into free cash? The FCF Conversion ratio measures the gap between accounting earnings and real cash generation.
ENR.DE converts 98% of its EBITDA into free cash flow, an exceptional conversion rate indicating an asset-light business model with minimal capital reinvestment drag. However, the ROIC-WACC spread is negative (-5.0%), 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 ENR.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.