What is Corvex 's AI platform and services — D&A?

Corvex (MOVE) reported AI platform and services — D&A of $295K in Q1 2026.

What does AI platform and services — D&A mean?

Reflects the systematic allocation of the cost of tangible assets, primarily GPU clusters and server hardware, over their useful lives. This non-cash expense is critical for understanding the capital-intensive nature of the AI infrastructure business. It provides insight into the company's hardware refresh cycle and asset intensity.

Corvex MOVE AI Platform And Services — D&A

Similar metrics at other companies

AIOTAIoT Asset Management — D&A

$1.15M-57.1%

RBRKSoftware And Services — D&A

$10.01M+28.1%

AXONSoftware and Services — D&A

$8.02M+102%

TWD&A

$60.71M-3.2%

DOCND&A

$45.48M+55.7%

APLDCloud Services Business — D&A

$2.29M-84.1%

Other financials

Income statement

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Revenue$510.0K+148%

Gross profit-$945.0K-107%

Operating income-$4.8M+7.5%

Net income-$5.0M+3.3%

EPS (diluted)-$3.13+41.5%

Balance sheet

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Cash & equivalents$28.9M+4,126%

Total debt$22.8M+3,165%

Total equity$576.0M+17,711%

Total assets$604.5M+7,684%

Cash flow

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Operating cash flow-$4.3M+0.3%

CapEx$6.2M—

Free cash flow-$10.5M—

Valuation

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Market cap$43M+583%

Enterprise value$36.84M+427%

P/S58.3×+45.0×

Profitability

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Gross margin-424.9%-2,244pp

Operating margin-2,050.5%-817pp

Net margin-2,457.5%-909pp

FCF margin-2,175.8%—

Returns & leverage

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Return on equity-6.3%—

Debt / equity0×-0.2×

Current ratio2.1×+0.4×

Where this comes from

Reported directly by Corvex in its filing.

Tagged under the XBRL concept us-gaap:DepreciationAndAmortization.

The official record: Corvex ’s 10-Q, filed May 19, 2026, on SEC EDGAR. View the filing →

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What is Corvex 's AI platform and services — D&A?: Corvex (MOVE) reported AI platform and services — D&A of $295K in Q1 2026.
What does AI platform and services — D&A mean?: Reflects the systematic allocation of the cost of tangible assets, primarily GPU clusters and server hardware, over their useful lives. This non-cash expense is critical for understanding the capital-intensive nature of the AI infrastructure business. It provides insight into the company's hardware refresh cycle and asset intensity.