AU000000RMS4 (AU000000RMS4)
Quantitative Summary
DeterministicFinancial health is average: Piotroski 5/9, Altman Z 17.3. Beneish M-Score of -1.80 exceeds the -2.22 academic threshold — earnings quality may warrant further review.
Generated deterministically from quant metrics and financial statements. Not a recommendation.
Algorithmic Teardown
AI-GeneratedThe capital allocation efficiency appears robust, evidenced by a return on invested capital of 15.5% that comfortably exceeds the weighted average cost of capital at 13.1%, generating a positive spread of +2.3%. This economic moat is underpinned by exceptional profitability drivers: gross margins sit at 56.1% while net margins expand to 24.5%, suggesting strong pricing power or low variable costs rather than leverage-driven returns. Financial stability metrics further corroborate this quality, with a Piotroski F-Score of 5/9 indicating moderate financial strength and an Altman Z-Score of 17.3 signaling negligible bankruptcy risk; conversely, the Beneish M-Score of -1.80 points to low probability of earnings manipulation, reinforcing the credibility of the reported fundamentals amidst accelerating revenue growth of nearly 40% year-over-year.
Valuation metrics present a distinct divergence between current pricing and historical or sector norms, as the stock trades at 14.2x forward earnings—a multiple that appears compressed relative to its high-growth trajectory when viewed in isolation. While a discounted cash flow model utilizing these growth rates would likely imply significant upside potential given the wide ROIC-WACC spread, the market current pricing suggests either skepticism regarding sustainability or an expectation of mean reversion in margins and turnover. The disconnect between the 39.8% revenue expansion and the modest multiple may indicate that investors are discounting future cash flow expectations more heavily than the underlying operational data strictly warrants, potentially leaving room for re-rating if growth persists without margin compression.
Risk assessment reveals a mixed profile where high-growth momentum coexists with moderate financial fragility signals; while the Altman score is exceptionally safe, the Piotroski F-Score of 5/9 suggests potential weaknesses in balance sheet quality or profitability trends that could limit downside protection during market stressors. The absence of sector-specific data prevents a definitive assessment of relative valuation positioning, yet the combination of high margins and rapid growth typically commands a premium unless macroeconomic headwinds threaten operating leverage. Investors must weigh whether the current 14.2x multiple adequately prices in the risk of margin erosion or if it represents an asymmetric opportunity given the company's demonstrated ability to generate returns well above its cost of capital.
Generated by LLM from quantitative data inputs. May contain inaccuracies. Not investment advice.
Price Chart with Moving Averages
Quant Health Deep Dive
Profitability & Value Creation
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
Passive Flow Attribution
ETF Draft EffectWhen investors buy or sell ETFs like GDXJ or GDX, the fund manager is mechanically forced to buy or sell AU000000RMS4 shares regardless of AU000000RMS4's individual fundamentals. We estimate $414M of passive capital is structurally linked to AU000000RMS4 through 4 tracked ETFs. Passive flows have a limited but growing influence on AU000000RMS4's daily trading dynamics.
Passive exposure = Σ (ETF AUM × stock weight in ETF) across 4 tracked ETFs. Actual passive ownership is larger (includes mutual funds). Not investment advice.
ETF Contagion Visualizer
Simulate a price drop in AU000000RMS4 to visualize passive redemption contagion across ETFs and collateral stocks.
If AU000000RMS4 (AU000000RMS4) experiences a significant drawdown, ETF redemptions can create collateral selling pressure on co-held stocks. Our model identifies Pan American Silver Corp (697900108) as the most exposed collateral stock, sharing 2 ETFs with AU000000RMS4. This is the "Passive Contagion" effect described in the Inelastic Market Hypothesis.
Contagion model based on shared ETF exposure and constituent weights across 4 tracked ETFs. Estimated selling pressure is a simplified model — actual impact depends on market liquidity, ETF redemption mechanics, and market-maker activity.
AU000000RMS4 Ownership Dynamics
ETFs with Highest AU000000RMS4 Exposure
Float lock-up computed from 4 ETFs tracked by SecuritiesDB. Actual passive ownership is higher (includes mutual funds, pension funds, etc.).
Compare AU000000RMS4 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.