KSS (KSS)
Quantitative Summary
DeterministicFinancial health is average: Piotroski 6/9, Altman Z 1.6.
Generated deterministically from quant metrics and financial statements. Not a recommendation.
Algorithmic Teardown
AI-GeneratedThe capital allocation efficiency of KSS reveals a significant structural challenge, with an ROIC of 4.5% falling substantially below the estimated WACC of 8.7%, resulting in a negative spread of -4.2%. This indicates that current operations are eroding shareholder value rather than generating returns above the cost of capital. Despite this capital inefficiency, profitability metrics present a mixed picture: while net margins have contracted to just 1.8% and revenue growth has turned negative at -4.3%, gross margins remain robust at 40.6%. This divergence suggests that operating leverage or rising costs are compressing bottom-line earnings despite strong pricing power or product mix in the top line. Financial health indicators offer a nuanced view of stability; the Piotroski F-Score of 6/9 signals moderate financial strength, yet an Altman Z-Score of 1.6 places the company in the "gray zone" for potential distress, contrasting sharply with a Beneish M-Score of -3.11 that strongly suggests low earnings manipulation risk and high fundamental quality relative to peers.
Valuation metrics currently reflect extreme pessimism regarding future performance. The stock trades at a P/E ratio of 5.3x, which represents a severe discount compared to historical averages and sector norms, implying the market has priced in a prolonged period of value destruction or permanent capital impairment. This low multiple stands in stark contrast to the DCF-derived fair value of $343, suggesting that current pricing may be disconnected from intrinsic value assumptions if growth constraints are temporary rather than structural. The disconnect between the depressed trading price and the model-implied valuation highlights a critical divergence: while fundamentals show signs of operational stress through negative revenue trends and capital inefficiency, the market appears to have already factored in these risks into an exceptionally low entry point that may not fully account for potential mean reversion or margin stabilization.
The risk-reward profile is defined by high volatility driven by deteriorating sales momentum and a precarious solvency position indicated by the Altman score, yet tempered by evidence of clean accounting practices. Investors must weigh the danger of continued value erosion against the possibility that the current valuation has over-penalized the stock for cyclical headwinds rather than fundamental decay. The combination of negative revenue growth and capital destruction creates a compelling case for caution regarding near-term trajectory, while the low multiple offers a potential asymmetric opportunity only if management can successfully reverse the ROIC-WACC spread or stabilize top-line momentum in subsequent quarters.
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% | $438 | $298 | $222 |
| 3% | $544 | $343 | $246 |
| 4% | $729 | $407 | $277 |
Center = base case. Green = >10% upside, Red = >10% downside vs —.
Pre-computed DCF: WACC=8.7%, terminal growth 3%. Fair value $343 (+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 XRT or SLYV, the fund manager is mechanically forced to buy or sell KSS shares regardless of KSS's individual fundamentals. We estimate $27M of passive capital is structurally linked to KSS through 6 tracked ETFs. Passive flows have a limited but growing influence on KSS'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 KSS to visualize passive redemption contagion across ETFs and collateral stocks.
If KSS (KSS) experiences a significant drawdown, ETF redemptions can create collateral selling pressure on co-held stocks. Our model identifies Amazon.com Inc. (AMZN) as the most exposed collateral stock, sharing 1 ETFs with KSS. 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.
KSS Ownership Dynamics
ETFs with Highest KSS Exposure
Float lock-up computed from 6 ETFs tracked by SecuritiesDB. Actual passive ownership is higher (includes mutual funds, pension funds, etc.).
KSS Capital Efficiency
How efficiently does KSS convert operating profits into free cash? The FCF Conversion ratio measures the gap between accounting earnings and real cash generation.
KSS 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 (-4.2%), 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 | 13 | $12.08 | $157.04 |
| 2026-05-07 | 645 | $14.41 | $9,294.45 |
| 2026-05-06 | 76 | $14.25 | $1,083 |
| 2026-05-05 | 92 | $14.19 | $1,305.48 |
| 2026-05-04 | 97 | $14.66 | $1,422.02 |
| 2026-05-01 | 38,868 | $14.17 | $550,759.56 |
| 2026-04-27 | 14,807 | $14.69 | $217,514.83 |
| 2026-04-22 | 1,491 | $15.87 | $23,662.17 |
| 2026-04-21 | 673 | $14.61 | $9,832.53 |
| 2026-04-20 | 1,000 | $14.52 | $14,520 |
| 2026-04-07 | 121 | $13.33 | $1,612.93 |
| 2026-04-02 | 30,241 | $12.88 | $389,504.08 |
| 2026-04-01 | 55 | $12.90 | $709.5 |
| 2026-03-25 | 39,902 | $12.35 | $492,789.7 |
| 2026-03-24 | 2,420 | $13.15 | $31,823 |
| 2026-03-23 | 60 | $12.43 | $745.8 |
| 2026-03-19 | 614,192 | $12.03 | $7.4M |
| 2026-03-18 | 673,138 | $12.69 | $8.5M |
| 2026-03-17 | 43,045 | $13.04 | $561,306.8 |
| 2026-03-13 | 2,822 | $13.27 | $37,447.94 |
| 2026-03-09 | 112,208 | $15.12 | $1.7M |
| 2026-02-25 | 83 | $17.71 | $1,469.93 |
| 2026-02-24 | 899 | $18.14 | $16,307.86 |
| 2026-02-23 | 581 | $18.78 | $10,911.18 |
| 2026-02-19 | 64 | $19.32 | $1,236.48 |
| 2026-02-10 | 750 | $17.55 | $13,162.5 |
| 2026-02-05 | 1 | $18.16 | $18.16 |
| 2026-02-03 | 513 | $17.97 | $9,218.61 |
| 2026-01-30 | 2,311 | $16.90 | $39,055.9 |
| 2026-01-29 | 8,755 | $17.22 | $150,761.1 |
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 KSS 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.