WTM (WTM)
Quantitative Summary
DeterministicFinancial health is average: Piotroski 4/9, Altman Z 1.7.
Generated deterministically from quant metrics and financial statements. Not a recommendation.
Algorithmic Teardown
AI-GeneratedThe company exhibits a robust profit engine characterized by an exceptional 38.3% net margin and accelerated revenue growth of 22.5% year-over-year, yet the capital efficiency profile warrants scrutiny. While the DuPont decomposition suggests earnings power is driven primarily by superior margins rather than asset turnover or leverage, the return on invested capital of 9.0% generates only a modest +1.6% spread over the weighted average cost of capital. This narrow economic moat contrasts sharply with distress signals from solvency and financial strength metrics; an Altman Z-Score of 1.7 indicates elevated bankruptcy risk, while a Piotroski F-Score of 4/9 reflects mediocre fundamental quality relative to historical standards, suggesting the high margins may not be sustainable or backed by strong balance sheet positioning.
Valuation appears deeply discounted when viewed through multiple lenses, creating a significant divergence between current pricing and implied growth expectations. Trading at just 5.1x earnings is materially below typical sector benchmarks for firms with double-digit revenue expansion, implying the market is currently discounting future cash flows heavily or anticipating a deterioration in profitability. A standard DCF framework would likely highlight that this low multiple fails to fully capture the value of the current growth trajectory unless significant downside risks materialize regarding the firm's capital structure and operational stability. The pricing suggests investors are demanding a substantial risk premium, potentially viewing the high margins as fragile given the underlying financial fragility indicators.
The convergence of aggressive revenue expansion with weak solvency metrics presents an asymmetric risk profile that requires careful calibration. While the growth rate offers upside potential if margin durability is proven, the low Altman Z-Score and middling Piotroski score introduce substantial tail risks that standard valuation models may underweight. The market's willingness to price such a high-growth entity at single-digit multiples indicates a consensus view that prioritizes balance sheet safety over earnings momentum, leaving limited room for error if operational leverage or working capital efficiency deteriorates further.
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 KIE or VFMV, the fund manager is mechanically forced to buy or sell WTM shares regardless of WTM's individual fundamentals. We estimate $152M of passive capital is structurally linked to WTM through 7 tracked ETFs. Passive flows have a limited but growing influence on WTM's daily trading dynamics.
Passive exposure = Σ (ETF AUM × stock weight in ETF) across 7 tracked ETFs. Actual passive ownership is larger (includes mutual funds). Not investment advice.
ETF Contagion Visualizer
Simulate a price drop in WTM to visualize passive redemption contagion across ETFs and collateral stocks.
If WTM (WTM) experiences a significant drawdown, ETF redemptions can create collateral selling pressure on co-held stocks. Our model identifies JPMorgan Chase & Co. (JPM) as the most exposed collateral stock, sharing 2 ETFs with WTM. This is the "Passive Contagion" effect described in the Inelastic Market Hypothesis.
Contagion model based on shared ETF exposure and constituent weights across 7 tracked ETFs. Estimated selling pressure is a simplified model — actual impact depends on market liquidity, ETF redemption mechanics, and market-maker activity.
WTM Ownership Dynamics
ETFs with Highest WTM Exposure
Float lock-up computed from 8 ETFs tracked by SecuritiesDB. Actual passive ownership is higher (includes mutual funds, pension funds, etc.).
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 |
|---|---|---|---|
| 2026-02-18 | 1 | $2230.83 | $2,230.83 |
| 2026-02-03 | 304 | $2056.36 | $625,133.44 |
| 2026-02-02 | 394 | $2044.93 | $805,702.42 |
| 2026-01-29 | 17 | $2039.19 | $34,666.23 |
| 2026-01-28 | 112 | $2052.44 | $229,873.28 |
| 2026-01-27 | 4 | $2076.93 | $8,307.72 |
| 2026-01-23 | 17 | $2071.97 | $35,223.49 |
| 2026-01-20 | 50 | $2056.36 | $102,818 |
| 2026-01-08 | 32 | $2059.54 | $65,905.28 |
| 2026-01-06 | 23 | $2062.86 | $47,445.78 |
| 2026-01-05 | 50 | $2041.90 | $102,095 |
| 2026-01-02 | 29 | $2078.03 | $60,262.87 |
| 2025-12-29 | 2,778 | $2062.34 | $5.7M |
| 2025-12-16 | 116 | $2068.17 | $239,907.72 |
| 2025-12-10 | 96 | $2018.75 | $193,800 |
| 2025-12-08 | 41 | $2034.79 | $83,426.39 |
| 2025-11-21 | 27 | $1881.61 | $50,803.47 |
| 2025-11-20 | 71 | $1889.30 | $134,140.3 |
| 2025-11-07 | 119 | $1892.02 | $225,150.38 |
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 WTM 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.