SNX (SNX)
Quantitative Summary
DeterministicStrong operational fundamentals (Piotroski 7/9) with Altman Z of 2.5.
Generated deterministically from quant metrics and financial statements. Not a recommendation.
Algorithmic Teardown
AI-GeneratedThe fundamental economics of SNX present a distinct divergence between operational stability and capital efficiency. While the Piotroski F-Score of 7/9 suggests robust financial health and strong earnings momentum, this is counterbalanced by an ROIC-WACC spread of -2.5%, indicating that current returns on invested capital fail to cover the cost of equity at 10.8%. This negative spread implies value destruction relative to required returns, a dynamic further complicated by thin profit margins; net income hovers at just 1.3% while gross margin sits at 7.0%, suggesting limited pricing power or high operating leverage pressure despite solid revenue growth of 6.9% year-over-year. The Altman Z-Score of 2.5 places the firm in a gray zone regarding bankruptcy risk, whereas the negative Beneish M-Score of -2.54 signals low probability of earnings manipulation, reinforcing that the margin compression is likely structural rather than accounting-driven.
Valuation metrics reveal a market consensus that appears detached from intrinsic value calculations based on provided models. The current P/E ratio of 15.7x requires contextualization against historical averages and sector peers to determine if it represents a premium or discount, yet the DCF analysis points to a significantly higher fair value target of $216 per share. This substantial gap between implied intrinsic value and likely market price suggests that either the model's growth assumptions are overly optimistic relative to current performance, or the market is pricing in severe downside risks not captured by standard discounted cash flow inputs. The persistence of negative spread fundamentals alongside a high DCF target creates an ambiguous valuation thesis where traditional multiples may be insufficient for assessing true worth without deeper insight into future margin expansion potential.
Risk assessment remains mixed due to conflicting signals regarding financial distress and earnings quality proxies. While the low Beneish M-Score offers some comfort, the Altman Z-Score of 2.5 warrants close monitoring as it approaches territory often associated with heightened bankruptcy risk for public companies. Investors must weigh the stability indicated by a high Piotroski score against the capital inefficiency highlighted by the negative ROIC-WACC spread and thin net margins. The lack of specific sector data prevents a definitive assessment of relative valuation, leaving the investment case dependent on whether future operational improvements can close the gap between current return generation and the 10.8% cost of capital required to justify the DCF-derived price target.
Generated by LLM from quantitative data inputs. May contain inaccuracies. Not investment advice.
DCF Sandbox
InteractiveSensitivity Matrix
| TG ↓ / WACC → | 8.9% | 10.9% | 12.9% |
|---|---|---|---|
| 2% | $259 | $196 | $156 |
| 3% | $296 | $216 | $168 |
| 4% | $347 | $241 | $183 |
Center = base case. Green = >10% upside, Red = >10% downside vs —.
Pre-computed DCF: WACC=10.8%, terminal growth 3%. Fair value $216 (+0.0%). Not investment advice.
Price Chart with Moving Averages
Quant Health Deep Dive
Profitability & Value Creation
✅ Conservative payout — room for dividend increases.
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 MDYV or IJJ, the fund manager is mechanically forced to buy or sell SNX shares regardless of SNX's individual fundamentals. We estimate $1.7B of passive capital is structurally linked to SNX through 8 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 8 tracked ETFs. Actual passive ownership is larger (includes mutual funds). Not investment advice.
ETF Contagion Visualizer
Simulate a price drop in SNX to visualize passive redemption contagion across ETFs and collateral stocks.
If SNX (SNX) experiences a significant drawdown, ETF redemptions can create collateral selling pressure on co-held stocks. Our model identifies FLEX LTD (FLEX) as the most exposed collateral stock, sharing 3 ETFs with SNX. This is the "Passive Contagion" effect described in the Inelastic Market Hypothesis.
Contagion model based on shared ETF exposure and constituent weights across 17 tracked ETFs. Estimated selling pressure is a simplified model — actual impact depends on market liquidity, ETF redemption mechanics, and market-maker activity.
SNX Ownership Dynamics
ETFs with Highest SNX Exposure
Float lock-up computed from 16 ETFs tracked by SecuritiesDB. Actual passive ownership is higher (includes mutual funds, pension funds, etc.).
SNX Capital Efficiency
How efficiently does SNX convert operating profits into free cash? The FCF Conversion ratio measures the gap between accounting earnings and real cash generation.
SNX converts 76% of its EBITDA into free cash flow, an exceptional conversion rate indicating an asset-light business model with minimal capital reinvestment drag. However, the ROIC-WACC spread is negative (-2.4%), suggesting reinvested capital is destroying shareholder value.
Capital efficiency = Free Cash Flow ÷ EBITDA. Reinvestment = (EBITDA − FCF) ÷ EBITDA. Metrics from latest annual filings. Not investment advice.
Fails-to-Deliver (FTD) History
SEC-reported settlement failures. Elevated FTDs can indicate high short-selling pressure, operational settlement issues, or naked shorting activity.
| Date | Failed Shares | Close Price | Notional Value |
|---|---|---|---|
| 2026-05-11 | 474 | $239.07 | $113,319.18 |
| 2026-04-24 | 261 | $222.83 | $58,158.63 |
| 2026-04-20 | 260 | $214.32 | $55,723.2 |
| 2026-04-14 | 3,312 | $206.60 | $684,259.2 |
| 2026-03-26 | 1,802 | $163.77 | $295,113.54 |
| 2026-03-25 | 3,946 | $163.62 | $645,644.52 |
| 2026-03-12 | 1,400 | $158.05 | $221,270 |
| 2026-03-05 | 1,535 | $160.27 | $246,014.45 |
| 2026-02-19 | 58 | $161.15 | $9,346.7 |
| 2026-02-06 | 70 | $164.19 | $11,493.3 |
| 2026-01-15 | 6 | $150.09 | $900.54 |
| 2025-12-22 | 10,586 | $154.13 | $1.6M |
| 2025-12-05 | 647 | $154.49 | $99,955.03 |
| 2025-11-13 | 2 | $152.72 | $305.44 |
| 2025-11-12 | 35,875 | $149.48 | $5.4M |
Source: SEC Regulation SHO FTD data. Data is reported with a ~30 day delay. High FTD quantities relative to average daily volume may indicate settlement stress.
Compare SNX 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.