SBSP3.SA (SBSP3.SA)
Quantitative Summary
DeterministicFinancial health is average: Piotroski 4/9, Altman Z 1.9. Beneish M-Score of -2.01 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 demonstrates a robust spread between the return on invested capital of 13.7% and the weighted average cost of capital at 7.0%, yielding a positive economic moat of 6.7%. This profitability is underpinned by exceptional margin discipline, with net margins expanding to 22.2% from gross margins of 37.0%, yet growth momentum remains subdued at only 5.4% year-over-year revenue expansion. While the high Beneish M-Score of -2.01 suggests low manipulation risk and strong earnings quality, the Altman Z-Score of 1.9 indicates elevated financial distress probabilities that contradict the Piotroski F-Score of 4/9, creating a divergence between operational stability and balance sheet resilience driven by potential leverage or asset turnover issues rather than margin compression alone.
Valuation metrics reflect significant market skepticism regarding future scalability despite current earnings power; trading at 12.4x forward earnings, the multiple appears compressed relative to historical norms implied by such high net margins but aligns with a conservative growth expectation given the modest revenue trajectory. A discounted cash flow analysis would likely anchor fair value on whether the persistent ROIC-WACC spread can sustainably fund reinvestment without eroding capital structure integrity, as the current pricing suggests the market is discounting potential stagnation in top-line expansion more heavily than it values the wide profitability buffer. The disconnect between strong per-share earnings generation and tepid revenue growth implies that valuation multiples may be sensitive to any further deceleration in operational scale rather than a fundamental collapse in unit economics.
Risk assessment reveals a complex profile where insider dynamics or Fama-French alpha data are absent from the provided dataset, leaving the exposure to market beta and size factors unquantifiable based on current inputs. The coexistence of low distress signals regarding earnings manipulation with moderate bankruptcy risk scores necessitates scrutiny into how leverage is being utilized to maintain high margins against a backdrop of slow growth. Investors must weigh whether the 6.7% excess return over capital costs can compensate for the structural risks embedded in an Altman Z-Score nearing the danger zone, particularly if the revenue base fails to accelerate beyond its current incremental pace.
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
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
ETF Contagion Visualizer
Simulate a price drop in SBSP3.SA to visualize passive redemption contagion across ETFs and collateral stocks.
If SBSP3.SA (SBSP3.SA) experiences a significant drawdown, ETF redemptions can create collateral selling pressure on co-held stocks. Our model identifies Vale SA (VALE3.SA) as the most exposed collateral stock, sharing 1 ETFs with SBSP3.SA. This is the "Passive Contagion" effect described in the Inelastic Market Hypothesis.
Contagion model based on shared ETF exposure and constituent weights across 1 tracked ETFs. Estimated selling pressure is a simplified model — actual impact depends on market liquidity, ETF redemption mechanics, and market-maker activity.
SBSP3.SA Ownership Dynamics
ETFs with Highest SBSP3.SA Exposure
Float lock-up computed from 0 ETFs tracked by SecuritiesDB. Actual passive ownership is higher (includes mutual funds, pension funds, etc.).
Compare SBSP3.SA 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.