VNT (VNT)

Market Cap
P/E Ratio
Beta
Dividend Yield
Piotroski 5/9Beneish M -2.58 Clean

Quantitative Summary

Deterministic

Financial health is average: Piotroski 5/9.

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

DCF Sandbox

Interactive

Sensitivity Matrix

TG ↓ / WACC →8%10%12%
2%$93$66$50
3%$110$75$55
4%$135$86$61

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

Pre-computed DCF: WACC=10.0%, terminal growth 3%. Fair value $75 (+0.0%). Not investment advice.

Price Chart with Moving Averages

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SMA 50 SMA 200

Quant Health Deep Dive

5/9
Piotroski F-Score
Average — mixed operational signals
-2.58
Beneish M-Score
Below threshold — no statistical earnings quality concern per Beneish model. Threshold: <-2.22 = below threshold.

Profitability & Value Creation

47.2%
Gross Margin
13.2%
Net Margin
14.6%
ROIC
+3.2%
Revenue Growth (YoY)
-3.8%
Earnings Growth (YoY)
441.1M
Free Cash Flow
3%
FCF Payout Ratio

✅ Conservative payout — room for dividend increases.

Balance Sheet Health

2.49x
Debt / Equity
1.16x
Current Ratio
9.5x
Interest Coverage
1.6x
Net Debt / EBITDA
693.2M
EBITDA

Earnings Surprise History

Q4
✓ Beat
Est: $0.72
Act: $0.77
+6.4%
Q3
✓ Beat
Est: $0.72
Act: $0.79
+9.5%
Q2
✓ Beat
Est: $0.77
Act: $0.78
+1.5%
Q1
✓ Beat
Est: $0.85
Act: $0.86
+1.1%

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

Forward P/E
PEG Ratio
Price/Book
Avg Volume
52W High
52W Low
52W Range Position

Passive Flow Attribution

ETF Draft Effect
$292M
Tracked Passive Exposure
8
ETFs Holding VNT
0.08%
Avg Weight in ETFs
$375B
Total ETF AUM

When investors buy or sell ETFs like MDYV or VBR, the fund manager is mechanically forced to buy or sell VNT shares regardless of VNT's individual fundamentals. We estimate $292M of passive capital is structurally linked to VNT through 8 tracked ETFs. Passive flows have a limited but growing influence on VNT's daily trading dynamics.

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 VNT to visualize passive redemption contagion across ETFs and collateral stocks.

VNT Shock
-0%
Est. Passive Redemption
$0
Systemic Risk
STABLE
VNTEpicenterVGTETFVXFETFVBRETFFLEXMed RiskFTILow RiskTWLOLow RiskCWLow RiskNVTLow Risk
VNT Price Drop (%)0

If VNT (VNT) experiences a significant drawdown, ETF redemptions can create collateral selling pressure on co-held stocks. Our model identifies FLEX LTD (FLEX) as the most exposed collateral stock, sharing 2 ETFs with VNT. This is the "Passive Contagion" effect described in the Inelastic Market Hypothesis.

Contagion model based on shared ETF exposure and constituent weights across 13 tracked ETFs. Estimated selling pressure is a simplified model — actual impact depends on market liquidity, ETF redemption mechanics, and market-maker activity.

VNT Ownership Dynamics

Ticker
VNT

Float lock-up computed from 14 ETFs tracked by SecuritiesDB. Actual passive ownership is higher (includes mutual funds, pension funds, etc.).

VNT Capital Efficiency

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

Free Cash Flow
$441M
EBITDA
$693M
FCF Conversion
64%
Reinvestment Rate
36%
64% of EBITDA → Free Cash
0% (cash burn)25% (low)50% (efficient)100% (pure cash)

VNT converts 64% of its EBITDA into free cash flow, an exceptional conversion rate indicating an asset-light business model with minimal capital reinvestment drag.

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
2026-05-0822,561$30.67$691,945.87
2026-05-0789,470$35.04$3.1M
2026-04-301,307$34.72$45,379.04
2026-04-1556$37.59$2,105.04
2026-04-08168$35.34$5,937.12
2026-03-234$35.20$140.8
2026-03-1960$35.55$2,133
2026-03-1328$36.21$1,013.88
2026-03-0961$38.35$2,339.35
2026-03-05114$40.53$4,620.42
2026-03-04345$40.34$13,917.3
2026-02-2659$40.68$2,400.12
2026-02-25140$40.94$5,731.6
2026-02-177,000$41.79$292,530
2026-02-137,000$42.10$294,700
2026-02-122,499$40.71$101,734.29
2026-02-101,300$42.58$55,354
2026-02-042,223$38.77$86,185.71
2026-02-0263$37.50$2,362.5
2026-01-08369$37.48$13,830.12
2026-01-02269$37.18$10,001.42
2025-12-15101$37.10$3,747.1
2025-12-0161$36.28$2,213.08
2025-11-05179$37.61$6,732.19
2025-11-042,224$37.85$84,178.4

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 VNT 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.