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NewMarket NEU Finite-Lived Intangible Assets - Expected Amortization Expense (Year One)

Finite-Lived Intangible Assets - Expected Amortization Expense (Year One) at other companies

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CaterpillarCAT
$24M-7.7%
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EntegrisENTG

Other financials

Income statement

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Revenue$669.7M-4.5%
Gross profit$220.9M-6.4%
Operating income$143.2M-10.4%
Net income$118.1M-6.3%
EPS (diluted)$12.62-4.8%

Balance sheet

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Cash & equivalents$73.2M-38.1%
Total debt$1.0B-4.2%
Total equity$1.7B+14.0%
Total assets$3.5B+8.4%

Cash flow

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Operating cash flow$124.0M+3.1%
CapEx$24.4M+87.1%
Free cash flow$99.7M-7.1%

Valuation

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Market cap$7.18B+12.1%
Enterprise value$8.12B+10.3%
P/E17.5×+4.1×
P/S2.7×+0.4×

Profitability

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Gross margin31.3%-1.2pp
Operating margin19.6%-2.3pp
Net margin15.3%-2.0pp
FCF margin18%+0.7pp

Returns & leverage

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Return on equity25.3%-10.7pp
Debt / equity0.6×-0.1×
Current ratio2.6×-0.3×

Where this comes from

Reported directly by NewMarket in its filing.

Tagged under the XBRL concept us-gaap:FiniteLivedIntangibleAssetsAmortizationExpenseYearFour.

The official record: NewMarket’s 10-Q, filed April 23, 2026, on SEC EDGAR. View the filing →

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Questions, answered.

What is NewMarket's finite-lived intangible assets - expected amortization expense (year one)?
NewMarket (NEU) reported finite-lived intangible assets - expected amortization expense (year one) of $35.98M in Q1 2026.
How has NewMarket's finite-lived intangible assets - expected amortization expense (year one) changed year-over-year?
NewMarket's finite-lived intangible assets - expected amortization expense (year one) increased by 42.7% year-over-year, from $25.21M to $35.98M.
What does finite-lived intangible assets - expected amortization expense (year one) mean?
This metric forecasts the amortization expense expected to be recognized in the upcoming fiscal year for intangible assets with finite useful lives. It provides visibility into the non-cash earnings impact of previously acquired intangible assets. Analysts use this to refine future earnings projections and cash flow models.