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Blend Labs BLND Professional services — Total Cost of Revenue

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Other financials

Income statement

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Revenue$30.8M+14.9%
Gross profit$23.4M+23.0%
Operating income-$5.1M+36.6%
Net income-$8.0M+15.4%
EPS (diluted)-$0.05+16.7%

Balance sheet

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Cash & equivalents$39.4M-35.7%
Total debt$1.4M-20.8%
Total equity-$55.9M-226%
Total assets$161.3M-14.0%

Cash flow

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Operating cash flow$7.4M-63.5%
CapEx$1.1M-74.1%
Free cash flow$6.2M-60.5%

Valuation

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Market cap$392.23M-52.3%
Enterprise value$354.22M-53.5%
P/S3.1×-3.8×

Profitability

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Gross margin74.9%+2.3pp
Operating margin-14.7%-5.0pp
Net margin-4.2%-1.9pp
FCF margin-7.6%-8.9pp

Returns & leverage

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Return on equity-251.8%+881pp
Debt / equity36.8×+35.5×
Current ratio1.8×-0.6×

Where this comes from

Reported directly by Blend Labs in its filing.

Tagged under the XBRL concept us-gaap:CostOfGoodsAndServicesSold.

The official record: Blend Labs’s 10-Q, filed May 7, 2026, on SEC EDGAR. View the filing →

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Questions, answered.

What is Blend Labs's professional services — total cost of revenue?
Blend Labs (BLND) reported professional services — total cost of revenue of $1.71M in Q1 2026.
How has Blend Labs's professional services — total cost of revenue changed year-over-year?
Blend Labs's professional services — total cost of revenue decreased by 12.2% year-over-year, from $1.95M to $1.71M.
What is the long-term trend for Blend Labs's professional services — total cost of revenue?
Over 4 years (2021 to 2025), Blend Labs's professional services — total cost of revenue has grown at a -13.7% compound annual growth rate (CAGR), from $12.81M to $7.11M.
What does professional services — total cost of revenue mean?
This metric captures the direct costs incurred to deliver professional services, including personnel expenses, third-party contractor fees, and other resources directly attributable to service engagements. Monitoring these costs is essential for evaluating the scalability and operational efficiency of the service delivery model. High or rising costs relative to service revenue may indicate inefficiencies in project execution or resource allocation.