S (S)
Quantitative Summary
DeterministicFinancial health is average: Piotroski 4/9, Altman Z 1.4. DCF fair value of $6 implies 51% downside based on model assumptions.
Generated deterministically from quant metrics and financial statements. Not a recommendation.
Algorithmic Teardown
AI-GeneratedThe fundamental economics present a stark contradiction between aggressive top-line expansion and deteriorating capital efficiency. While revenue growth of 21.9% suggests momentum, the company is generating negative returns on invested capital at -14.5%, creating a destructive spread against its weighted average cost of capital that totals -24%. This inefficiency is compounded by net margins contracting to -45%, indicating that despite robust gross margins of 74.1%, operating leverage or expense control issues are eroding value. The DuPont decomposition implicitly points to weak profitability as the primary driver, a view reinforced by a Profitability Factor (RMW) score of -1.053 and a Piotroski F-Score of only 4/9. Although the Beneish M-Score of -3.38 offers some reassurance against earnings manipulation, an Altman Z-Score of 1.4 signals elevated distress risk that warrants close monitoring of liquidity conditions.
Valuation metrics reflect significant downside pressure relative to intrinsic value models. The current pricing implies a substantial discount to the DCF fair value estimate of $6, with calculated upside standing at -50.7%, suggesting the market may be overvaluing future cash flows given the negative spread profile. Furthermore, while implied free cash flow growth is projected at 24.8% annually for the next decade, this optimism contrasts sharply with a Fama-French annual alpha of -10.56%. The stock exhibits a distinct tilt toward the Growth factor (HML: -0.642), which appears misaligned with its actual weak profitability trajectory and negative ROIC spread, creating a potential valuation divergence that historical performance has yet to resolve.
The risk/reward profile is skewed heavily by structural underperformance across multiple factors. The combination of negative alpha and poor value factor positioning indicates the stock has failed to outperform or even match benchmark expectations over recent periods. While insider activity data was not provided, the quantitative signals regarding profitability deterioration and capital allocation inefficiency suggest that any recovery depends on a fundamental shift in margin expansion rather than mere revenue velocity. Investors must weigh the high-growth narrative against the reality of negative absolute returns on equity to determine if current valuations adequately compensate for these execution risks.
Generated by LLM from quantitative data inputs. May contain inaccuracies. Not investment advice.
DCF Sandbox
Interactive5-year two-stage DCF. Terminal growth 3%. Default sliders match the pre-computed base case. Drag to explore scenarios. Not investment advice.
The growth rate the market implicitly expects over the next 10 years to justify today's price. Compare with historical growth of 22% YoY revenue.
Sensitivity Matrix
| TG ↓ / WACC → | 7.5% | 9.5% | 11.5% |
|---|---|---|---|
| 2% | $8 | $6 | $4 |
| 3% | $9 | $6 | $5 |
| 4% | $11 | $7 | $5 |
Center = base case. Green = >10% upside, Red = >10% downside vs $17.35.
Pre-computed DCF: WACC=9.5%, terminal growth 3%. Fair value $6 (-50.7%). 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.
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 HACK or XSW, the fund manager is mechanically forced to buy or sell S shares regardless of S's individual fundamentals. We estimate $265M of passive capital is structurally linked to S through 6 tracked ETFs. Passive flows have a limited but growing influence on S's daily trading dynamics.
Passive exposure = Σ (ETF AUM × stock weight in ETF) across 6 tracked ETFs. Actual passive ownership is larger (includes mutual funds). Not investment advice.
ETF Contagion Visualizer
Simulate a price drop in S to visualize passive redemption contagion across ETFs and collateral stocks.
If S (S) experiences a significant drawdown, ETF redemptions can create collateral selling pressure on co-held stocks. Our model identifies NVIDIA Corp. (NVDA) as the most exposed collateral stock, sharing 1 ETFs with S. This is the "Passive Contagion" effect described in the Inelastic Market Hypothesis.
Contagion model based on shared ETF exposure and constituent weights across 6 tracked ETFs. Estimated selling pressure is a simplified model — actual impact depends on market liquidity, ETF redemption mechanics, and market-maker activity.
S Ownership Dynamics
Passive funds hold 1 in every 16 S shares, reducing daily market volatility.
S (S) exerts measurable gravity on the passive index market, currently representing 3.5% of the Amplify Cybersecurity ETF (HACK) and 0.9% of the XSW (XSW). Across 6 tracked ETFs, approximately 21M shares (6.2% 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 S Exposure
Float lock-up computed from 6 ETFs tracked by SecuritiesDB. Actual passive ownership is higher (includes mutual funds, pension funds, etc.).
S 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 S over the past year sits near $17.80 (12% of 252-day volume). The current price of $17.35 sits 2.6% 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.
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 | 22,200 | $16.59 | $368,298 |
| 2026-05-04 | 795 | $14.90 | $11,845.5 |
| 2026-04-29 | 2,460 | $14.65 | $36,039 |
| 2026-04-21 | 286,586 | $14.32 | $4.1M |
| 2026-04-16 | 69,302 | $13.26 | $918,944.52 |
| 2026-04-10 | 2,500 | $12.77 | $31,925 |
| 2026-04-02 | 538 | $13.31 | $7,160.78 |
| 2026-03-23 | 1,410 | $14.17 | $19,979.7 |
| 2026-03-19 | 118,590 | $14.38 | $1.7M |
| 2026-03-16 | 2,000 | $14.52 | $29,040 |
| 2026-03-12 | 156 | $14.16 | $2,208.96 |
| 2026-03-09 | 996 | $14.19 | $14,133.24 |
| 2026-03-06 | 513 | $13.97 | $7,166.61 |
| 2026-03-05 | 1,900 | $13.49 | $25,631 |
| 2026-03-03 | 2,546 | $13.13 | $33,428.98 |
| 2026-03-02 | 3,000 | $13.12 | $39,360 |
| 2026-02-23 | 1,712 | $12.97 | $22,204.64 |
| 2026-02-20 | 90 | $13.56 | $1,220.4 |
| 2026-02-17 | 4,000 | $13.87 | $55,480 |
| 2026-02-09 | 4 | $13.22 | $52.88 |
| 2026-02-02 | 3,533 | $13.98 | $49,391.34 |
| 2026-01-30 | 163,398 | $14.07 | $2.3M |
| 2026-01-28 | 600 | $15.11 | $9,066 |
| 2026-01-26 | 3,000 | $14.29 | $42,870 |
| 2026-01-23 | 144 | $14.19 | $2,043.36 |
| 2026-01-14 | 34,978 | $14.64 | $512,077.92 |
| 2025-12-29 | 590 | $15.01 | $8,855.9 |
| 2025-12-17 | 1,700 | $14.80 | $25,160 |
| 2025-12-15 | 5,405 | $15.08 | $81,507.4 |
| 2025-12-10 | 55 | $14.84 | $816.2 |
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.
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 | |
| TENB | 0.635 | 0.660 | Moderate |
| OKTA | 0.575 | 0.690 | Moderate |
| ADSK | 0.561 | 0.577 | Moderate |
| CRWD | 0.560 | 0.625 | Moderate |
| SNOW | 0.555 | 0.650 | Moderate |
| ZS | 0.544 | 0.613 | Moderate |
| PANW | 0.544 | 0.544 | Moderate |
| CRM | 0.540 | 0.475 | Moderate |
| NET | 0.520 | 0.592 | Moderate |
Pearson correlation of daily log returns. 252d ≈ 1 trading year. Computed from price history. Not investment advice.
Compare S 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.