The Buckle, Inc. (BKE)
Quantitative Summary
DeterministicAt 12.0x earnings — a 66% discount to the sector average of 35.0x — BKE is in the lower valuation range. Financial health is average: Piotroski 4/9, Altman Z 5.4. Beneish M-Score of -2.16 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 Buckle, Inc. reveal a robust capital allocator generating significant value creation, evidenced by an ROIC-WACC spread of +16.6%, which indicates returns on invested capital substantially exceed the cost of financing. This efficiency is underpinned by strong profitability metrics, including a 49.0% gross margin and a 16.2% net margin, though the DuPont decomposition suggests earnings power relies heavily on margin expansion rather than volume leverage or asset turnover given the modest revenue growth trajectory of 6.6%. Financial integrity appears solid with an Altman Z-Score of 5.4 signaling low bankruptcy risk and a Beneish M-Score of -2.16 suggesting minimal earnings manipulation, yet the Piotroski F-Score of 4/9 highlights moderate financial strength relative to peers, indicating potential instability in recent balance sheet or profitability trends that warrants close monitoring alongside these otherwise healthy indicators.
Valuation analysis presents a stark divergence between current market pricing and intrinsic value estimates derived from discounted cash flow models. Trading at a forward P/E multiple of 12.0x, the stock is priced significantly below its sector average of 36.4x, implying the market assigns limited growth expectations or penalizes specific operational risks not immediately apparent in aggregate fundamentals. This discount aligns with a DCF-derived fair value estimate of $45, suggesting that current prices may be detached from long-term cash flow potential if management can sustain its high-margin profile and execute on revenue expansion plans. The compressed multiple relative to the consumer cyclical sector average creates an asymmetry where downside protection is theoretically higher than upside participation unless market sentiment corrects regarding growth assumptions embedded in the valuation gap.
Risk assessment requires synthesizing these conflicting signals: while the wide ROIC spread offers a substantial margin of safety against capital erosion, the mid-tier Piotroski score and sluggish revenue expansion introduce execution risk that could compress future cash flows. The data suggests an environment where price discovery is lagging fundamental quality, potentially offering asymmetric value if operational hurdles are cleared, yet the lack of recent momentum in top-line growth limits immediate catalysts for multiple re-rating absent a broader sector rotation or improved consumer spending dynamics.
Generated by LLM from quantitative data inputs. May contain inaccuracies. Not investment advice.
DCF Sandbox
InteractiveSensitivity Matrix
| TG ↓ / WACC → | 8.7% | 10.7% | 12.7% |
|---|---|---|---|
| 2% | $53 | $41 | $33 |
| 3% | $60 | $45 | $35 |
| 4% | $70 | $49 | $38 |
Center = base case. Green = >10% upside, Red = >10% downside vs —.
Pre-computed DCF: WACC=10.7%, terminal growth 3%. Fair value $45 (+0.0%). Not investment advice.
Valuation Context
Price Chart with Moving Averages
Quant Health Deep Dive
Profitability & Value Creation
⚠️ Dividend consumes >80% of FCF — sustainability risk.
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 VFQY, the fund manager is mechanically forced to buy or sell BKE shares regardless of The Buckle, Inc.'s individual fundamentals. We estimate $28M of passive capital is structurally linked to BKE through 7 tracked ETFs. Passive flows have a limited but growing influence on BKE'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 The Buckle, Inc. to visualize passive redemption contagion across ETFs and collateral stocks.
If The Buckle, Inc. (BKE) 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 BKE. 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.
BKE Ownership Dynamics
ETFs with Highest BKE Exposure
Float lock-up computed from 7 ETFs tracked by SecuritiesDB. Actual passive ownership is higher (includes mutual funds, pension funds, etc.).
BKE Capital Efficiency
How efficiently does The Buckle, Inc. convert operating profits into free cash? The FCF Conversion ratio measures the gap between accounting earnings and real cash generation.
The Buckle, Inc. converts 72% of its EBITDA into free cash flow, an exceptional conversion rate indicating an asset-light business model with minimal capital reinvestment drag. The positive ROIC-WACC spread of 16.6% confirms that reinvested capital creates 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 |
|---|---|---|---|
| 2026-04-22 | 5 | $55.71 | $278.55 |
| 2026-03-26 | 1,073 | $50.80 | $54,508.4 |
| 2026-03-23 | 7 | $49.19 | $344.33 |
| 2026-03-12 | 958 | $50.48 | $48,359.84 |
| 2026-02-27 | 583 | $54.47 | $31,756.01 |
| 2026-02-18 | 64 | $53.87 | $3,447.68 |
| 2026-01-21 | 752 | $54.03 | $40,630.56 |
| 2026-01-15 | 1,907 | $55.38 | $105,609.66 |
| 2026-01-12 | 63 | $55.54 | $3,499.02 |
| 2025-12-30 | 56 | $53.87 | $3,016.72 |
| 2025-12-10 | 1,825 | $57.16 | $104,317 |
| 2025-12-08 | 1 | $55.83 | $55.83 |
| 2025-11-04 | 2,585 | $55.14 | $142,536.9 |
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 BKE 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.