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NeoGenomics NEO Finite-Lived Intangible Assets - Expected Amortization Expense (Year One)

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Other financials

Income statement

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Revenue$201.7M+11.2%
Gross profit$91.9M+18.9%
Operating income-$9.8M+79.5%
Net income$2.2M+105%
EPS (diluted)$0.02+106%

Balance sheet

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Cash & equivalents$145.5M-5.9%
Total debt$448.4M+534%
Total equity$785.7M-8.0%
Total assets$1.4B-3.0%

Cash flow

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Operating cash flow$20.0M-1.8%
CapEx$8.2M+30.0%
Free cash flow-$13.1M+56.0%

Valuation

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Market cap$2.13B+184%
Enterprise value$2.43B+265%
P/S2.8×+1.7×

Profitability

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Gross margin43.9%0.0pp
Operating margin-8.9%-2.8pp
Net margin-6.8%-2.4pp
FCF margin-4.9%

Returns & leverage

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Return on equity-6.3%-2.0pp
Debt / equity0.6×+0.5×
Current ratio3.6×-0.3×

Where this comes from

Reported directly by NeoGenomics in its filing.

Tagged under the XBRL concept us-gaap:FiniteLivedIntangibleAssetsAmortizationExpenseYearFour.

The source filing: NeoGenomics’s 10-Q, filed July 28, 2026.

Filed
Jul 28, 2026, 4:09 PM EDT
Fiscal quarter
Q2 FY2026
Calendar quarter
Q2 2026
Accession
0001077183-26-000059
Remainder of 2026$$15,267
202729,983
202829,983
202929,983
203029,530
Thereafter123,069
Total$$257,815

Item 1. Financial Statements (unaudited)

FAQ

What is NeoGenomics's finite-lived intangible assets - expected amortization expense (year one)?
NeoGenomics (NEO) reported finite-lived intangible assets - expected amortization expense (year one) of $29.53M in Q2 2026.
How has NeoGenomics's finite-lived intangible assets - expected amortization expense (year one) changed year-over-year?
NeoGenomics's finite-lived intangible assets - expected amortization expense (year one) decreased by 1.5% year-over-year, from $29.98M to $29.53M.
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.

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