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SoundHound AI, Inc. SOUN Business Segments — Labor and related expense

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SIT
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$211.5M+3.3%

Other financials

Income statement

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Revenue$44.2M+51.7%
Gross profit$13.7M+29.4%
Operating income-$22.7M-118%
Net income-$25.0M-119%
EPS (diluted)-$0.11-135%

Balance sheet

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Cash & equivalents$216.3M-12.2%
Total debt$6.2M+34.5%
Total equity$460.7M+16.0%
Total assets$645.0M+9.8%

Cash flow

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Operating cash flow-$26.3M-36.9%
CapEx$468.0K+189%
Free cash flow-$26.7M-38.1%

Valuation

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Market cap$2.69B-30.1%
Enterprise value$2.48B-31.2%
P/S14.6×-23.0×

Profitability

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Gross margin40.6%-3.5pp
Operating margin-217.6%+231pp
Net margin-210.7%+85.2pp
FCF margin-57.9%-17.9pp

Returns & leverage

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Return on equity-89.9%+41.4pp
Debt / equity0.0×
Current ratio3.9×-1.0×

Where this comes from

Reported directly by SoundHound AI, Inc. in its filing.

Tagged under the XBRL concept us-gaap:LaborAndRelatedExpense.

The official record: SoundHound AI, Inc.’s 10-Q, filed May 11, 2026, on SEC EDGAR. View the filing →

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Questions, answered.

What is SoundHound AI, Inc.'s business segments — labor and related expense?
SoundHound AI, Inc. (SOUN) reported business segments — labor and related expense of $58.8M in Q1 2026.
How has SoundHound AI, Inc.'s business segments — labor and related expense changed year-over-year?
SoundHound AI, Inc.'s business segments — labor and related expense increased by 30.7% year-over-year, from $45M to $58.8M.
What is the long-term trend for SoundHound AI, Inc.'s business segments — labor and related expense?
Over 3 years (2022 to 2025), SoundHound AI, Inc.'s business segments — labor and related expense has grown at a 29.4% compound annual growth rate (CAGR), from $94.3M to $204.5M.
What does business segments — labor and related expense mean?
This metric represents the total personnel-related costs, including salaries, benefits, and stock-based compensation, directly attributable to the operations of the primary business segment. It serves as a key indicator of the investment in human capital required to support research, development, and service delivery within the company's core AI platform offerings. Monitoring this expense helps investors assess the scalability of the business model and the efficiency of labor utilization relative to revenue growth.