LI (LI)
Quantitative Summary
DeterministicBelow-average fundamentals indicated by Piotroski score of 2/9; Altman Z of 1.4 falls in the academic distress zone. Beneish M-Score of -2.18 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 fundamental economics of the company reveal a severe disconnect between capital efficiency and profitability drivers. With an ROIC-WACC spread contracting to -6.6%, the firm is currently destroying value relative to its cost of capital, a condition exacerbated by a negative Piotroski F-Score of 2/9 that signals significant financial deterioration across nine key metrics. While the Altman Z-Score of 1.4 indicates elevated distress risk approaching insolvency thresholds, the Beneish M-Score of -2.18 suggests management earnings quality is likely robust rather than manipulated, implying the poor fundamentals are operational realities rather than accounting artifacts. The DuPont decomposition highlights a critical structural flaw: despite maintaining an 18.7% gross margin, net margins have compressed to just 1.0%, and this thin profitability coincides with revenue contracting at a steep -22.2% annualized rate, suggesting the business model is failing to generate top-line traction or control operating expenses effectively.
Valuation metrics present an extreme premium that appears fundamentally unjustified given the operational trajectory. The current P/E ratio of 109.1x stands in stark contrast to the company's inability to sustain positive returns on invested capital, creating a massive gap between market pricing and intrinsic value derived from cash flow generation. A traditional DCF analysis would likely yield a negative fair value due to the -6.6% spread and declining revenue base, yet the market is implicitly pricing in sustained high growth or a future turnaround that current fundamentals do not support. This disparity suggests the stock price may be decoupled from near-term earnings performance, relying instead on speculative narratives about potential sector recovery or strategic pivots that are not reflected in the trailing twelve-month data.
The risk/reward profile appears heavily skewed toward downside exposure given the confluence of negative cash flow generation and shrinking revenues. The combination of a distressed Altman score and double-digit revenue contraction creates a precarious operating environment where even minor shocks could trigger liquidity events, despite the clean earnings signal from the Beneish metric. Investors must weigh whether the current valuation incorporates an extreme risk premium for survival or if it represents a mispricing based on outdated assumptions about the company's competitive moat. Without evidence of margin expansion or revenue stabilization, the mathematical probability favors continued value erosion until operational metrics align with the exorbitant multiple currently in place.
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
Passive Flow Attribution
ETF Draft EffectWhen investors buy or sell ETFs like VNQI or VGK, the fund manager is mechanically forced to buy or sell LI shares regardless of LI's individual fundamentals. We estimate $57M of passive capital is structurally linked to LI through 4 tracked ETFs. Passive flows have a limited but growing influence on LI's daily trading dynamics.
Passive exposure = Σ (ETF AUM × stock weight in ETF) across 4 tracked ETFs. Actual passive ownership is larger (includes mutual funds). Not investment advice.
ETF Contagion Visualizer
Simulate a price drop in LI to visualize passive redemption contagion across ETFs and collateral stocks.
If LI (LI) experiences a significant drawdown, ETF redemptions can create collateral selling pressure on co-held stocks. Our model identifies SAMSUNG ELECTR GDR REG S (SMSN) as the most exposed collateral stock, sharing 2 ETFs with LI. This is the "Passive Contagion" effect described in the Inelastic Market Hypothesis.
Contagion model based on shared ETF exposure and constituent weights across 4 tracked ETFs. Estimated selling pressure is a simplified model — actual impact depends on market liquidity, ETF redemption mechanics, and market-maker activity.
LI Ownership Dynamics
ETFs with Highest LI Exposure
Float lock-up computed from 4 ETFs tracked by SecuritiesDB. Actual passive ownership is higher (includes mutual funds, pension funds, etc.).
LI Capital Efficiency
How efficiently does LI convert operating profits into free cash? The FCF Conversion ratio measures the gap between accounting earnings and real cash generation.
LI converts -210% of its EBITDA into free cash flow, negative FCF conversion — the company is consuming cash faster than it generates EBITDA, which is unsustainable long-term. The 310% reinvestment rate signals aggressive capacity expansion. However, the ROIC-WACC spread is negative (-6.6%), 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 |
|---|---|---|---|
| 2026-05-14 | 386,834 | $20.02 | $7.7M |
| 2026-05-13 | 388,892 | $18.74 | $7.3M |
| 2026-05-12 | 560,874 | $18.87 | $10.6M |
| 2026-05-11 | 9,929 | $18.00 | $178,722 |
| 2026-05-05 | 700 | $17.88 | $12,516 |
| 2026-05-04 | 388 | $17.57 | $6,817.16 |
| 2026-04-30 | 52,674 | $17.75 | $934,963.5 |
| 2026-04-29 | 2,368 | $17.78 | $42,103.04 |
| 2026-04-27 | 29,051 | $18.13 | $526,694.63 |
| 2026-04-20 | 34,148 | $18.39 | $627,981.72 |
| 2026-04-16 | 356,918 | $18.16 | $6.5M |
| 2026-04-15 | 6,188 | $18.74 | $115,963.12 |
| 2026-04-14 | 42 | $18.78 | $788.76 |
| 2026-04-13 | 17,342 | $19.21 | $333,139.82 |
| 2026-04-10 | 965 | $18.29 | $17,649.85 |
| 2026-04-09 | 4,321 | $18.63 | $80,500.23 |
| 2026-04-08 | 16,941 | $18.42 | $312,053.22 |
| 2026-04-07 | 58,955 | $18.46 | $1.1M |
| 2026-04-06 | 181,950 | $18.47 | $3.4M |
| 2026-04-02 | 325,941 | $18.38 | $6.0M |
| 2026-04-01 | 1,148 | $17.83 | $20,468.84 |
| 2026-03-31 | 311 | $17.55 | $5,458.05 |
| 2026-03-30 | 6,674 | $17.46 | $116,528.04 |
| 2026-03-27 | 251 | $17.58 | $4,412.58 |
| 2026-03-26 | 244 | $18.08 | $4,411.52 |
| 2026-03-25 | 44,441 | $17.75 | $788,827.75 |
| 2026-03-24 | 2,058 | $17.13 | $35,253.54 |
| 2026-03-23 | 208,368 | $16.70 | $3.5M |
| 2026-03-20 | 45,770 | $17.10 | $782,667 |
| 2026-03-19 | 324,739 | $17.05 | $5.5M |
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 LI 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.