SA123GA0ITH7 (SA123GA0ITH7)
Quantitative Summary
DeterministicStrong operational fundamentals (Piotroski 8/9).
Generated deterministically from quant metrics and financial statements. Not a recommendation.
Algorithmic Teardown
AI-GeneratedThe company demonstrates robust fundamental quality, characterized by a high Piotroski F-Score of 8/9 and strong profitability metrics. A net margin of 19.1% coupled with an ROIC of 9.0% suggests efficient capital deployment, though the specific WACC spread required to confirm value creation remains unquantified in the provided data. The DuPont decomposition indicates that operating leverage is a primary driver, evidenced by gross margins at 38.3%, while revenue growth accelerates at 18.5% year-over-year. This combination of high margins and double-digit top-line expansion supports an upward trajectory in earnings power, yet the absence of explicit turnover or leverage ratios prevents a complete isolation of margin versus efficiency as the sole ROE driver.
Valuation analysis reveals a significant divergence between current market pricing and intrinsic value estimates derived from discounted cash flow modeling. The stock trades at 29.9x forward earnings, implying that the market is pricing in substantial future growth rates that exceed historical norms or sector averages without explicit comparative benchmarks provided here. Conversely, the DCF model assigns a fair value of $6, suggesting current prices may be elevated relative to fundamental cash flow projections unless implied terminal growth assumptions are exceptionally aggressive. The gap between the 29.9x multiple and the DCF-derived price point indicates that market sentiment is currently detached from conservative valuation anchors, potentially leaving limited margin of safety if actual execution falters against these high-growth expectations.
Risk assessment remains constrained by a lack of sector context and Fama-French alpha data, making it difficult to gauge relative performance within its peer group or exposure to specific factor risks such as value or momentum tilts. While the insider activity profile is not specified, the combination of an 18.5% revenue growth rate and a high P/E ratio inherently increases volatility risk if macroeconomic headwinds compress margins below the current 38.3% gross level. Investors must weigh the compelling Piotroski score against the valuation premium; the data suggests a scenario where upside potential is capped by strict DCF constraints, while downside protection relies entirely on sustaining the observed margin expansion and growth velocity without external factor support.
Generated by LLM from quantitative data inputs. May contain inaccuracies. Not investment advice.
DCF Sandbox
InteractiveSensitivity Matrix
| TG ↓ / WACC → | 8% | 10% | 12% |
|---|---|---|---|
| 2% | $8 | $5 | $3 |
| 3% | $10 | $6 | $4 |
| 4% | $13 | $7 | $4 |
Center = base case. Green = >10% upside, Red = >10% downside vs —.
Pre-computed DCF: WACC=10.0%, terminal growth 3%. Fair value $6 (+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 EMXC or SCHE, the fund manager is mechanically forced to buy or sell SA123GA0ITH7 shares regardless of SA123GA0ITH7's individual fundamentals. We estimate $175M of passive capital is structurally linked to SA123GA0ITH7 through 5 tracked ETFs. Passive flows have a limited but growing influence on SA123GA0ITH7's daily trading dynamics.
Passive exposure = Σ (ETF AUM × stock weight in ETF) across 5 tracked ETFs. Actual passive ownership is larger (includes mutual funds). Not investment advice.
ETF Contagion Visualizer
Simulate a price drop in SA123GA0ITH7 to visualize passive redemption contagion across ETFs and collateral stocks.
If SA123GA0ITH7 (SA123GA0ITH7) experiences a significant drawdown, ETF redemptions can create collateral selling pressure on co-held stocks. Our model identifies Taiwan Semiconductor Manufacturing Co., Ltd. (TW0002330008) as the most exposed collateral stock, sharing 3 ETFs with SA123GA0ITH7. This is the "Passive Contagion" effect described in the Inelastic Market Hypothesis.
Contagion model based on shared ETF exposure and constituent weights across 5 tracked ETFs. Estimated selling pressure is a simplified model — actual impact depends on market liquidity, ETF redemption mechanics, and market-maker activity.
SA123GA0ITH7 Ownership Dynamics
ETFs with Highest SA123GA0ITH7 Exposure
Float lock-up computed from 5 ETFs tracked by SecuritiesDB. Actual passive ownership is higher (includes mutual funds, pension funds, etc.).
SA123GA0ITH7 Capital Efficiency
How efficiently does SA123GA0ITH7 convert operating profits into free cash? The FCF Conversion ratio measures the gap between accounting earnings and real cash generation.
SA123GA0ITH7 converts 25% of its EBITDA into free cash flow, a moderate conversion rate — significant EBITDA is consumed by capital expenditures, working capital changes, or interest payments. The 75% reinvestment rate signals aggressive capacity expansion.
Capital efficiency = Free Cash Flow ÷ EBITDA. Reinvestment = (EBITDA − FCF) ÷ EBITDA. Metrics from latest annual filings. Not investment advice.
Compare SA123GA0ITH7 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.