SBH (SBH)

$1.5B
Market Cap
8.6
P/E Ratio
1.12
Beta
Dividend Yield
Piotroski 8/9Beneish M -2.34 Clean

Quantitative Summary

Deterministic

Strong operational fundamentals (Piotroski 8/9).

Generated deterministically from quant metrics and financial statements. Not a recommendation.

Algorithmic Teardown

AI-Generated

The capital allocation efficiency for SBH demonstrates a robust ROIC of 11.3%, suggesting the firm generates returns that likely exceed its cost of equity, though the specific WACC spread remains unquantified in this dataset. This operational strength is underpinned by exceptional profitability metrics: gross margins sit at an elevated 51.6% while net margins hold steady at 5.3%. These margin characteristics drive a DuPont ROE profile heavily weighted toward operating leverage rather than financial leverage or asset turnover, as the data does not specify debt levels to calculate total equity multipliers. Furthermore, the integrity of these earnings is strongly corroborated by a Piotroski F-Score of 8/9 and a Beneish M-Score of -2.34; the former indicates high fundamental quality with only one potential weakness among nine criteria, while the latter signals a very low probability of financial statement manipulation.

Valuation metrics present a compelling divergence between current pricing and intrinsic value models. Trading at an 8.6x P/E multiple, the stock appears significantly compressed relative to its implied growth trajectory if it were to reach its DCF-derived fair value of $55. While historical comparables are unavailable for direct ratio analysis, this low multiple suggests the market is currently discounting future cash flows aggressively or pricing in a stagnation thesis that conflicts with the company's high-margin business model. The near-flat revenue growth of -0.4% YoY introduces ambiguity regarding top-line expansion; however, if earnings per share are growing due to margin expansion rather than volume increases, the current valuation may be overly conservative relative to the DCF fair value target.

The convergence of a pristine Piotroski score and negative Beneish M-Score creates a risk profile that is distinctively low for earnings quality, yet the -0.4% revenue contraction warrants scrutiny regarding long-term demand sustainability. Without sector-specific data or insider transaction records provided in this dataset, it remains unclear whether the valuation compression reflects temporary cyclical headwinds or structural challenges. The gap between the current market price and a $55 fair value implies that if the DCF assumptions hold true and revenue stabilizes, there is significant potential for mean reversion, but investors must weigh the lack of visible top-line growth against the strong balance sheet indicators before drawing conclusions on future performance.

Generated by LLM from quantitative data inputs. May contain inaccuracies. Not investment advice.

DCF Sandbox

Interactive

Sensitivity Matrix

TG ↓ / WACC →8%10%12%
2%$69$49$36
3%$82$55$40
4%$102$64$45

Center = base case. Green = >10% upside, Red = >10% downside vs .

Pre-computed DCF: WACC=10.0%, terminal growth 3%. Fair value $55 (+0.0%). Not investment advice.

Price Chart with Moving Averages

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SMA 50 SMA 200

Quant Health Deep Dive

8/9
Piotroski F-Score
Strong — high operational efficiency and profitability signals
-2.34
Beneish M-Score
Below threshold — no statistical earnings quality concern per Beneish model. Threshold: <-2.22 = below threshold.

Profitability & Value Creation

51.6%
Gross Margin
5.3%
Net Margin
11.3%
ROIC
-0.4%
Revenue Growth (YoY)
+27.7%
Earnings Growth (YoY)
172.7M
Free Cash Flow

Balance Sheet Health

2.62x
Debt / Equity
2.26x
Current Ratio
5.1x
Interest Coverage
1.7x
Net Debt / EBITDA
427.7M
EBITDA

Earnings Surprise History

Q4
✓ Beat
Est: $0.39
Act: $0.42
+6.8%
Q3
✓ Beat
Est: $0.42
Act: $0.51
+21.4%
Q2
✓ Beat
Est: $0.48
Act: $0.55
+15.1%
Q1
✓ Beat
Est: $0.46
Act: $0.48
+3.4%

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.

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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.

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Rolling Beta Market (β = 1.0)

Fundamentals

6.7
Forward P/E
1.00
PEG Ratio
1.79
Price/Book
2M
Avg Volume
$17.92
52W High
$7.65
52W Low
52W Range Position

Passive Flow Attribution

ETF Draft Effect
$24M
Tracked Passive Exposure
6
ETFs Holding SBH
0.06%
Avg Weight in ETFs
$37B
Total ETF AUM

When investors buy or sell ETFs like XRT or SLYV, the fund manager is mechanically forced to buy or sell SBH shares regardless of SBH's individual fundamentals. We estimate $24M of passive capital is structurally linked to SBH through 6 tracked ETFs. Passive flows have a limited but growing influence on SBH'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 SBH to visualize passive redemption contagion across ETFs and collateral stocks.

SBH Shock
-0%
Est. Passive Redemption
$0
Systemic Risk
STABLE
SBHEpicenterSPSMETFSPTMETFVCRETFAMZNLow RiskTSLALow RiskHDLow RiskMCDLow RiskTJXLow Risk
SBH Price Drop (%)0

If SBH (SBH) 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 SBH. 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.

SBH Ownership Dynamics

Ticker
SBH

Float lock-up computed from 6 ETFs tracked by SecuritiesDB. Actual passive ownership is higher (includes mutual funds, pension funds, etc.).

SBH Capital Efficiency

How efficiently does SBH convert operating profits into free cash? The FCF Conversion ratio measures the gap between accounting earnings and real cash generation.

Free Cash Flow
$173M
EBITDA
$428M
FCF Conversion
40%
Reinvestment Rate
60%
40% of EBITDA → Free Cash
0% (cash burn)25% (low)50% (efficient)100% (pure cash)

SBH converts 40% of its EBITDA into free cash flow, a healthy conversion rate indicating efficient capital management — the business generates substantial cash after reinvestment. The 60% reinvestment rate signals aggressive capacity expansion.

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.

DateFailed SharesClose PriceNotional Value
2026-05-1481$12.21$989.01
2026-05-1249$12.98$636.02
2026-05-0115,169$14.18$215,096.42
2026-04-2365$15.09$980.85
2026-04-21210$14.86$3,120.6
2026-04-0130$13.85$415.5
2026-03-3166$13.41$885.06
2026-03-30179$13.30$2,380.7
2026-03-2764$13.81$883.84
2026-03-2680$13.84$1,107.2
2026-03-2513$13.81$179.53
2026-03-24103$13.77$1,418.31
2026-03-2312,816$14.01$179,552.16
2026-03-203,318$14.01$46,485.18
2026-03-116,811$15.03$102,369.33
2026-03-0432,293$15.55$502,156.15
2026-02-2721,118$16.60$350,558.8
2026-02-2612,171$16.03$195,101.13
2026-02-194,327$15.71$67,977.17
2026-02-172,122$16.32$34,631.04
2026-02-06348$16.62$5,783.76
2026-02-031,732$16.24$28,127.68
2026-01-221,294$16.06$20,781.64
2026-01-1565$15.72$1,021.8
2026-01-133$15.71$47.13
2026-01-0577$14.49$1,115.73
2025-12-231,711$15.33$26,229.63
2025-12-124,312$15.55$67,051.6
2025-12-052,829$15.54$43,962.66
2025-12-035,220$15.82$82,580.4

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 SBH 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.