AU000000NST8 (AU000000NST8)
Quantitative Summary
DeterministicFinancial health is average: Piotroski 4/9, Altman Z 4.8. Beneish M-Score of -1.85 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 presents a notable divergence from the reported top-line momentum, as the return on invested capital of 8.7% falls significantly short of the weighted average cost of capital at 13.6%, resulting in a negative spread that erodes shareholder value despite robust net margins near 21%. This fundamental tension is compounded by a Piotroski F-Score of 4/9, suggesting limited financial strength relative to peers, although an Altman Z-Score above 4 indicates the balance sheet remains comfortably within safe territory regarding bankruptcy risk. The high gross margin of 56.6% and revenue growth exceeding 30% annually point to strong pricing power or product differentiation, yet these operational strengths are not translating into efficient capital deployment as measured by the ROIC-WACC gap.
Valuation metrics suggest a premium is being priced in relative to historical norms, with the current P/E multiple of 20.7x trading approximately 18% above its five-year average. While this expansion may reflect market anticipation of sustained growth rates inherent in such high-revenue environments, it warrants scrutiny given that the stock's cost of capital exceeds its return on assets; typically, a negative spread implies future cash flows must grow at an accelerated pace to justify current equity valuations without relying solely on leverage or asset turnover improvements. The disconnect between the elevated multiple and suboptimal capital efficiency suggests the market is pricing in significant mean reversion risks unless management can demonstrably improve operational leverage over time.
Risk-adjusted performance data reveals a compelling anomaly, as the stock exhibits an annual Fama-French alpha of 31.09%, indicating substantial outperformance relative to its factor exposures after adjusting for market risk and size effects. This strong momentum is partially supported by a value tilt in the HML factor (0.132) while maintaining neutrality on profitability factors, suggesting price appreciation may be driven more by valuation compression dynamics than fundamental quality upgrades. Investors must weigh whether this alpha represents sustainable pricing power or temporary dislocation before concluding that current valuations are fully warranted given the negative ROIC spread.
Generated by LLM from quantitative data inputs. May contain inaccuracies. Not investment advice.
Price Chart with Moving Averages
Technical Setup
AI GeneratedThe current price of $19.21 for AU000000NST8 stands as the sole quantitative data point available, making it impossible to determine its position relative to any moving averages without additional historical pricing or timeframe specifications. Consequently, no definitive conclusion can be drawn regarding whether the asset is trading above or below key trend lines at this specific moment. Similarly, while Relative Strength Index (RSI) values are critical for gauging short-term momentum and identifying potential overbought or oversold conditions, the absence of this metric prevents any assessment of the stock's immediate velocity or strength compared to its recent range. In a vacuum where only the absolute price is known, technical analysis regarding trend direction and momentum intensity remains incomplete. The lack of comparative data means that patterns such as bullish crossovers, bearish divergences, or saturation levels cannot be identified with certainty. Any observation of market behavior must therefore rely entirely on external information not present in this dataset. Without the necessary context to see how $19.21 fits into a broader price history or momentum landscape, the technical setup appears indeterminate based strictly on these provided figures. Readers are advised to consult full charting tools for moving average alignments and RSI readings before forming any view on market direction.
Quant Health Deep Dive
Profitability & Value Creation
Balance Sheet Health
Dividend History
| Date | Amount | Change |
|---|---|---|
| 2026-03-04 | $0.2500 | -16.7% |
| 2025-09-02 | $0.3000 | +20.0% |
| 2025-03-05 | $0.2500 | 0.0% |
| 2024-09-03 | $0.2500 | +66.7% |
| 2024-03-06 | $0.1500 | -3.2% |
| 2023-09-05 | $0.1550 | +40.9% |
| 2023-03-07 | $0.1100 | -4.3% |
| 2022-09-06 | $0.1150 | +15.0% |
| 2022-03-07 | $0.1000 | +5.3% |
| 2021-09-06 | $0.0950 | 0.0% |
| 2021-03-08 | $0.0950 | -51.3% |
| 2020-09-08 | $0.1950 | +160.0% |
Dividend and split data from SEC filings and market data. Amounts are per share, not adjusted for splits. Source: yfinance.
Risk Profile
Sharpe = risk-adjusted return (higher is better). Max drawdown = largest peak-to-trough decline. 1,200+ trading days.
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.
Fama-French 5-Factor Exposure
Academic factor model decomposition — what's really driving this stock's returns.
Fama-French 5-Factor Model. Data: Kenneth French Data Library. Regression over 3 years of daily returns.
Fundamentals
Passive Flow Attribution
ETF Draft EffectWhen investors buy or sell ETFs like GDX or EFA, the fund manager is mechanically forced to buy or sell AU000000NST8 shares regardless of AU000000NST8's individual fundamentals. We estimate $1.4B of passive capital is structurally linked to AU000000NST8 through 7 tracked ETFs. Index rebalances and ETF creation/redemption cycles can create noticeable volume spikes unrelated to company news.
Passive exposure = Σ (ETF AUM × stock weight in ETF) across 7 tracked ETFs. Actual passive ownership is larger (includes mutual funds). Not investment advice.
ETF Contagion Visualizer
Simulate a price drop in AU000000NST8 to visualize passive redemption contagion across ETFs and collateral stocks.
If AU000000NST8 (AU000000NST8) experiences a significant drawdown, ETF redemptions can create collateral selling pressure on co-held stocks. Our model identifies Agnico Eagle Mines Ltd (008474108) as the most exposed collateral stock, sharing 2 ETFs with AU000000NST8. This is the "Passive Contagion" effect described in the Inelastic Market Hypothesis.
Contagion model based on shared ETF exposure and constituent weights across 7 tracked ETFs. Estimated selling pressure is a simplified model — actual impact depends on market liquidity, ETF redemption mechanics, and market-maker activity.
AU000000NST8 Ownership Dynamics
Passive funds hold 1 in every 20 AU000000NST8 shares, reducing daily market volatility.
AU000000NST8 (AU000000NST8) exerts measurable gravity on the passive index market, currently representing 3.6% of the VanEck Gold Miners ETF (GDX) and 0.1% of the iShares MSCI EAFE ETF (EFA). Across 7 tracked ETFs, approximately 72M shares (5.0% of float) are held by passive funds and rarely trade on the open market. As passive ownership grows, index inclusion changes may increasingly drive price discovery.
ETFs with Highest AU000000NST8 Exposure
Float lock-up computed from 7 ETFs tracked by SecuritiesDB. Actual passive ownership is higher (includes mutual funds, pension funds, etc.).
AU000000NST8 Institutional Volume Profile
252-day volume distribution by price level. The Point of Control (POC) marks — the price where the most institutional volume transacted — an implicit support/resistance floor.
The highest-volume price zone for AU000000NST8 over the past year sits near $20.39 (10% of 252-day volume). The current price of $20.17 sits 1.1% below the POC — suggesting potential mean-reversion upside if institutional demand reasserts at this level.
Volume Profile computed from 252 trading days of OHLCV data. Volume allocated to price bins proportionally based on daily high-low range. Not investment advice.
Price Correlations
Statistical correlation of daily returns with other stocks. High correlations indicate stocks that move together; negative correlations can offer diversification.
| Peer | 252-Day (1Y) | 126-Day (6M) | Direction |
|---|---|---|---|
| WTGXX | NaN | NaN | |
| AU000000EVN4 | 0.760 | 0.747 | High co-movement |
| GB00B2QPKJ12 | 0.273 | 0.253 | Low correlation |
| MXP554091415 | 0.266 | 0.324 | Low correlation |
| KR7005930003 | 0.239 | 0.308 | Low correlation |
| INE040A01034 | 0.235 | 0.337 | Low correlation |
| JP3162600005 | 0.230 | 0.374 | Low correlation |
| RGLD | 0.218 | 0.221 | Low correlation |
| GB00BL6K5J42 | 0.214 | 0.183 | Low correlation |
| AU | 0.212 | 0.209 | Low correlation |
Pearson correlation of daily log returns. 252d ≈ 1 trading year. Computed from price history. Not investment advice.
Compare AU000000NST8 to Peers
Quant metrics computed deterministically from financial statements and price data. Updated: 2026-06-02.
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.