NEU (NEU)

$5.9B
Market Cap
14.1
P/E Ratio
0.52
Beta
1.83%
Dividend Yield
Piotroski 5/9Altman Z 4.3 SafeBeneish M -2.56 CleanROIC−WACC +7.9%

Quantitative Summary

Deterministic

Financial health is average: Piotroski 5/9, Altman Z 4.3.

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

Algorithmic Teardown

AI-Generated

The company demonstrates robust capital efficiency with a 15.4% ROIC, indicating returns that likely exceed the cost of equity to generate value creation. The DuPont decomposition reveals an earnings quality profile driven primarily by high net margins at 15.4%, supported by moderate asset turnover and leverage rather than aggressive financial engineering; this is corroborated by a strong Beneish M-Score of -2.56 suggesting low manipulation risk, while the Piotroski F-Score of 5/9 signals stable fundamentals despite recent revenue contraction of -2.2% year-over-year.

Valuation metrics present a compelling divergence between market pricing and intrinsic value estimates, with the current P/E ratio at 14.1x implying significant compression relative to its historical trajectory or sector peers if growth expectations have reset downward. The DCF model calculates a fair value of $2831, suggesting that the market price may be substantially below implied levels based on projected cash flows and assumed discount rates; however, this wide gap warrants scrutiny regarding the sensitivity of inputs used in the valuation framework.

Insider activity over the last 90 days shows net buying totaling $247,684, which aligns with a risk profile characterized by solid profitability but declining top-line momentum. While the negative revenue growth introduces downside pressure on future margin expansion potential, the combination of high margins and insider accumulation suggests management may view current levels as an attractive entry point or see operational leverage opportunities ahead. Investors must weigh whether the low multiple adequately compensates for the lack of organic sales growth against the cushion provided by strong balance sheet metrics and internal confidence signals.

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

DCF Sandbox

Interactive

Sensitivity Matrix

TG ↓ / WACC →6%7.6%9.6%
2%$3395$2363$1671
3%$4448$2831$1893
4%$6555$3562$2196

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

Pre-computed DCF: WACC=7.6%, terminal growth 3%. Fair value $2831 (+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
4.3
Altman Z-Score
Safe Zone — above 3.0 threshold per academic model. Thresholds: >3 safe, 1.8–3 grey, <1.8 distress.
-2.56
Beneish M-Score
Below threshold — no statistical earnings quality concern per Beneish model. Threshold: <-2.22 = below threshold.

Profitability & Value Creation

31.5%
Gross Margin
15.4%
Net Margin
15.4%
ROIC
7.6%
WACC
ROIC − WACC Spread: +7.9%— Positive value creation spread.
-2.2%
Revenue Growth (YoY)
-9.4%
Earnings Growth (YoY)
491.3M
Free Cash Flow
22%
FCF Payout Ratio

✅ 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.

15.4%
Net Profit Margin
NI ÷ Revenue
×
0.78x
Asset Turnover
Revenue ÷ Assets
×
1.96x
Equity Multiplier
Assets ÷ Equity
=
23.5%
Return on Equity
✅ ROE driven primarily by strong profit margins — a sign of pricing power.

Balance Sheet Health

0.96x
Debt / Equity
2.53x
Current Ratio
15.1x
Interest Coverage
1.1x
Net Debt / EBITDA
7.36%
FCF Yield
722.7M
EBITDA

Insider Activity (Last 90 Days)

Net Insider Flow
+$247,684
Net Buying
1
Buy Transactions
0
Sale Transactions
2026-02-24XU TINGBuy$247,684
2026-02-18GOTTWALD THOMAS EOther1,320 shares
2026-02-18GOTTWALD BRUCE COther3,000 shares
2026-02-05PALIOTTI BRIAN DGrant535 shares
2026-02-05JEWETT BRYCE DICKINSON IIIGrant415 shares

Open-market buys vs sells by company insiders. 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

24.2
Forward P/E
PEG Ratio
3.30
Price/Book
157669
Avg Volume
$875.97
52W High
$510.07
52W Low
52W Range Position

Passive Flow Attribution

ETF Draft Effect
$230M
Tracked Passive Exposure
8
ETFs Holding NEU
0.07%
Avg Weight in ETFs
$326B
Total ETF AUM

When investors buy or sell ETFs like VAW or MDYG, the fund manager is mechanically forced to buy or sell NEU shares regardless of NEU's individual fundamentals. We estimate $230M of passive capital is structurally linked to NEU through 8 tracked ETFs. Passive flows have a limited but growing influence on NEU'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 NEU to visualize passive redemption contagion across ETFs and collateral stocks.

NEU Shock
-0%
Est. Passive Redemption
$0
Systemic Risk
STABLE
NEUEpicenterVYMETFVXFETFVBKETFLINLow RiskNEMLow RiskFCXLow RiskCRHLow RiskSHWLow Risk
NEU Price Drop (%)0

If NEU (NEU) experiences a significant drawdown, ETF redemptions can create collateral selling pressure on co-held stocks. Our model identifies Linde plc (LIN) as the most exposed collateral stock, sharing 1 ETFs with NEU. This is the "Passive Contagion" effect described in the Inelastic Market Hypothesis.

Contagion model based on shared ETF exposure and constituent weights across 15 tracked ETFs. Estimated selling pressure is a simplified model — actual impact depends on market liquidity, ETF redemption mechanics, and market-maker activity.

NEU Ownership Dynamics

Ticker
NEU

Float lock-up computed from 17 ETFs tracked by SecuritiesDB. Actual passive ownership is higher (includes mutual funds, pension funds, etc.).

NEU Capital Efficiency

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

Free Cash Flow
$491M
EBITDA
$723M
FCF Conversion
68%
Reinvestment Rate
32%
68% of EBITDA → Free Cash
0% (cash burn)25% (low)50% (efficient)100% (pure cash)
ROIC
15.4%
ROIC − WACC Spread
7.9%

NEU converts 68% 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 7.9% 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.

DateFailed SharesClose PriceNotional Value
2026-05-14309$690.70$213,426.3
2026-05-13266$686.57$182,627.62
2026-05-0797$688.73$66,806.81
2026-04-211$642.89$642.89
2026-04-16231$641.42$148,168.02
2026-04-144,600$659.18$3.0M
2026-04-07140$641.01$89,741.4
2026-04-063,515$635.86$2.2M
2026-03-25579$620.67$359,367.93
2026-03-23186$614.54$114,304.44
2026-03-137$588.08$4,116.56
2026-03-09766$641.32$491,251.12
2026-03-04208$631.75$131,404
2026-02-272,081$628.84$1.3M
2026-02-244$602.31$2,409.24
2026-02-23232$610.43$141,619.76
2026-02-1810$599.80$5,998
2026-02-114$719.25$2,877
2026-01-2926$651.55$16,940.3
2026-01-0758$715.62$41,505.96
2026-01-0525$687.75$17,193.75
2025-12-3019$704.44$13,384.36
2025-12-221,520$729.38$1.1M
2025-11-261$766.61$766.61
2025-10-313$747.90$2,243.7
2025-10-1462$790.00$48,980

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 NEU 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.