AU000000RRL8 (AU000000RRL8)
Quantitative Summary
DeterministicFinancial health is average: Piotroski 5/9, Altman Z 6.4.
Generated deterministically from quant metrics and financial statements. Not a recommendation.
Algorithmic Teardown
AI-GeneratedThe fundamental economics suggest a high-quality operator with robust capital efficiency, evidenced by an ROIC of 15.2% that likely exceeds the cost of equity for most firms in its peer set. The DuPont decomposition reveals a growth engine driven primarily by margin expansion rather than leverage or turnover; specifically, a net margin of 15.4% and gross margin near 50% indicate strong pricing power or operational control over variable costs. This profitability profile is reinforced by the Beneish M-Score of -2.49, which signals low earnings manipulation risk, while the Altman Z-Score of 6.4 confirms a comfortable safety buffer against distress. However, the Piotroski F-Score of 5/9 indicates moderate financial strength with potential weaknesses in balance sheet quality or profitability trends that prevent it from being classified as an elite value candidate.
Despite these operational strengths, the current valuation multiple of 10.4x P/E appears compressed relative to its revenue growth trajectory of 30.5% YoY and superior net margins. A standard discounted cash flow analysis would likely imply a significantly higher fair value if the market were pricing in sustained high-growth rates consistent with recent performance, suggesting current prices may not fully reflect the company's earnings power or future expansion potential. The discrepancy between such aggressive top-line growth and a single-digit multiple implies either that the sector average is dragging down comparisons due to cyclical headwinds, or that investors are discounting expectations for growth sustainability despite the strong historical metrics provided.
No specific risk factor deltas, insider activity data, or Fama-French alpha figures were supplied in the input; consequently, a precise assessment of idiosyncratic risks versus market beta cannot be synthesized from the available dataset. The absence of this information limits the ability to determine if the stock exhibits characteristics typical of value, growth, or momentum factors within the broader equity universe based solely on the provided fundamental snapshot.
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 IEFA, the fund manager is mechanically forced to buy or sell AU000000RRL8 shares regardless of AU000000RRL8's individual fundamentals. We estimate $113M of passive capital is structurally linked to AU000000RRL8 through 3 tracked ETFs. Passive flows have a limited but growing influence on AU000000RRL8's daily trading dynamics.
Passive exposure = Σ (ETF AUM × stock weight in ETF) across 3 tracked ETFs. Actual passive ownership is larger (includes mutual funds). Not investment advice.
ETF Contagion Visualizer
Simulate a price drop in AU000000RRL8 to visualize passive redemption contagion across ETFs and collateral stocks.
If AU000000RRL8 (AU000000RRL8) 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 1 ETFs with AU000000RRL8. This is the "Passive Contagion" effect described in the Inelastic Market Hypothesis.
Contagion model based on shared ETF exposure and constituent weights across 3 tracked ETFs. Estimated selling pressure is a simplified model — actual impact depends on market liquidity, ETF redemption mechanics, and market-maker activity.
AU000000RRL8 Ownership Dynamics
ETFs with Highest AU000000RRL8 Exposure
Float lock-up computed from 3 ETFs tracked by SecuritiesDB. Actual passive ownership is higher (includes mutual funds, pension funds, etc.).
Compare AU000000RRL8 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.