MKL (MKL)
Quantitative Summary
DeterministicFinancial health is average: Piotroski 5/9, Altman Z 1.0.
Generated deterministically from quant metrics and financial statements. Not a recommendation.
Algorithmic Teardown
AI-GeneratedThe fundamental economics of MKL present a mixed profile characterized by efficient capital deployment but declining revenue momentum. While the DuPont decomposition reveals that return on equity is driven primarily by high leverage (3.61x) rather than operational efficiency, with asset turnover sitting at just 0.24x and net margins holding steady at 12.9%, the ROIC of 3.4% suggests capital generation struggles to outpace required returns in a risk-adjusted context. This structural reliance on leverage is tempered by deteriorating top-line performance, evidenced by revenue contraction of -2.5% year-over-year, which aligns with a moderate Piotroski F-Score of 5/9 indicating average financial strength without recent significant improvement or deterioration signals.
Valuation metrics suggest the market may be pricing in a compressed growth outlook relative to historical norms and sector peers, given the current P/E multiple of 11.1x. However, this valuation appears disconnected from intrinsic value models; the DCF analysis implies a fair value of $3,395, which would necessitate substantial future earnings acceleration or margin expansion not currently reflected in the -2.5% revenue trajectory. The discrepancy between the low multiple and high implied fair value indicates that either the market is undervaluing long-term potential based on current depressed fundamentals or expects a significant re-rating of growth assumptions to justify such a premium.
Insider activity introduces a counterweight to the valuation divergence, with $207,948 in net selling over the last 90 days signaling caution from those closest to the business operations. This outflow contrasts sharply with the bullish implication of the DCF model and suggests insiders may be hedging against potential execution risks inherent in reversing negative revenue trends while managing a highly leveraged balance sheet. The convergence of shrinking revenues, low ROIC relative to leverage, and insider distribution creates an environment where future stock performance will depend heavily on whether operational improvements can materialize quickly enough to validate the elevated DCF-based pricing versus the more conservative multiple expansion needed to support current levels.
Generated by LLM from quantitative data inputs. May contain inaccuracies. Not investment advice.
DCF Sandbox
InteractiveSensitivity Matrix
| TG ↓ / WACC → | 6.7% | 8.7% | 10.7% |
|---|---|---|---|
| 2% | $4260 | $2989 | $2300 |
| 3% | $5215 | $3395 | $2516 |
| 4% | $6869 | $3973 | $2796 |
Center = base case. Green = >10% upside, Red = >10% downside vs —.
Pre-computed DCF: WACC=8.7%, terminal growth 3%. Fair value $3395 (+0.0%). Not investment advice.
Price Chart with Moving Averages
Quant Health Deep Dive
Profitability & Value Creation
✅ Conservative payout — room for dividend increases.
DuPont Analysis — ROE Decomposition
Breaking down Return on Equity to see how the company generates its ROE — efficiency, margins, or leverage.
Balance Sheet Health
Insider Activity (Last 90 Days)
Open-market buys vs sells by company insiders. Source: yfinance.
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 MKL shares regardless of MKL's individual fundamentals. We estimate $1.7B of passive capital is structurally linked to MKL 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 MKL to visualize passive redemption contagion across ETFs and collateral stocks.
If MKL (MKL) 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 MKL. This is the "Passive Contagion" effect described in the Inelastic Market Hypothesis.
Contagion model based on shared ETF exposure and constituent weights across 16 tracked ETFs. Estimated selling pressure is a simplified model — actual impact depends on market liquidity, ETF redemption mechanics, and market-maker activity.
MKL Ownership Dynamics
ETFs with Highest MKL Exposure
Float lock-up computed from 16 ETFs tracked by SecuritiesDB. Actual passive ownership is higher (includes mutual funds, pension funds, etc.).
MKL Capital Efficiency
How efficiently does MKL convert operating profits into free cash? The FCF Conversion ratio measures the gap between accounting earnings and real cash generation.
MKL converts 78% 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 (-5.4%), 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 |
|---|---|---|---|
| 2026-04-28 | 8 | $1895.74 | $15,165.92 |
| 2026-04-07 | 45 | $1907.31 | $85,828.95 |
| 2026-03-30 | 2,021 | $1867.29 | $3.8M |
| 2026-03-26 | 6 | $1892.82 | $11,356.92 |
| 2026-03-19 | 589 | $1914.15 | $1.1M |
| 2026-03-16 | 2,070 | $1942.78 | $4.0M |
| 2026-03-05 | 9 | $2040.25 | $18,362.25 |
| 2026-03-02 | 255 | $2072.47 | $528,479.85 |
| 2026-02-19 | 1 | $2071.16 | $2,071.16 |
| 2026-02-12 | 13 | $2099.06 | $27,287.78 |
| 2026-02-04 | 9 | $2038.65 | $18,347.85 |
| 2026-01-05 | 439 | $2130.36 | $935,228.04 |
| 2025-11-13 | 46 | $2091.91 | $96,227.86 |
| 2025-11-12 | 274 | $2061.19 | $564,766.06 |
| 2025-10-31 | 1,023 | $1938.38 | $2.0M |
| 2025-10-24 | 1 | $1896.18 | $1,896.18 |
| 2025-10-22 | 1 | $1905.26 | $1,905.26 |
| 2025-10-16 | 173 | $1916.48 | $331,551.04 |
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 MKL 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.