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Oxford Industries OXM Johnny Was — Cost of goods sold

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Other financials

Income statement

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Revenue$391.4M-0.4%
Gross profit$243.9M-3.3%
Operating income$22.4M-38.2%
Net income$15.0M-42.8%
EPS (diluted)$1.00-41.2%

Balance sheet

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Cash & equivalents$9.4M+14.5%
Total debt$592.4M+9.1%
Total equity$523.4M-11.7%
Total assets$1.3B-0.1%

Cash flow

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Operating cash flow$7.9M+300%
CapEx$22.8M-2.8%
Free cash flow-$14.9M+45.7%

Valuation

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Market cap$552.3M-8.6%
Enterprise value$1.14B+2.2%
P/S0.4×0.0×

Profitability

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Gross margin60.2%-2.5pp
Operating margin-3.1%-9.9pp
Net margin-2.6%-8.0pp
FCF margin1.6%

Returns & leverage

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Return on equity-7%-20.6pp
Debt / equity1.1×+0.2×
Current ratio1.2×-0.1×

Where this comes from

Reported directly by Oxford Industries in its filing.

Tagged under the XBRL concept us-gaap:CostOfGoodsAndServicesSold.

The source filing: Oxford Industries’s 10-Q, filed June 11, 2026.

Filed
Jun 11, 2026, 12:22 PM EDT
Fiscal quarter
Q1 FY2026
Calendar quarter
Q2 2026
Accession
0000075288-26-000058
Lilly Pulitzer Segment EBITDA$$15,007$$23,052
Johnny Was
Net sales$$37,850$$43,473
Cost of goods sold12,96815,355
Gross profit$$24,882$$28,118
Operating costs:
Variable and distribution costs2,2112,151
Advertising costs4,1985,534

ITEM 1. FINANCIAL STATEMENTS

FAQ

What is Oxford Industries's johnny was — cost of goods sold?
Oxford Industries (OXM) reported johnny was — cost of goods sold of $12.97M in Q1 2026.
How has Oxford Industries's johnny was — cost of goods sold changed year-over-year?
Oxford Industries's johnny was — cost of goods sold decreased by 15.5% year-over-year, from $15.36M to $12.97M.
What is the long-term trend for Oxford Industries's johnny was — cost of goods sold?
Over 3 years (2022 to 2025), Oxford Industries's johnny was — cost of goods sold has grown at a 31.9% compound annual growth rate (CAGR), from $27.83M to $63.86M.
What does johnny was — cost of goods sold mean?
Reflects the direct costs attributable to the production and sourcing of apparel sold by the Johnny Was segment, including raw materials and manufacturing labor. Monitoring this helps evaluate the segment's production efficiency and exposure to supply chain cost fluctuations.

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