Skip to content

Corvex MOVE AI Platform And Services — CapEx

Similar metrics at other companies

Enerpac Tool Group logo
EPACIndustrial Tools & Services [Member] — CapEx
$2.43M-0.1%
Emerson Electric logo
EMRIntelligent Devices — CapEx
$79M+11.3%
Upbound Group, Inc. logo
UPBDAcima — CapEx
$0-100%
Ranger Energy Services logo
RNGRProcessing Solutions and Ancillary Services — CapEx
$3.5M+106%
Motorola Solutions, Inc. logo
MSISoftware and Services — CapEx
$37M+68.2%
Nasdaq, Inc. logo
NDAQCapital Access Platforms — Purchases of property and equipment
$15M+15.4%

Other financials

Income statement

See full
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

See full
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

See full
Operating cash flow-$4.3M+0.3%
CapEx$6.2M
Free cash flow-$10.5M

Valuation

See full
Market cap$43M+583%
Enterprise value$36.84M+427%
P/S58.3×+45.0×

Profitability

See full
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

See full
Return on equity-6.3%
Debt / equity-0.2×
Current ratio2.1×+0.4×

Where this comes from

Reported directly by Corvex in its filing.

Tagged under the XBRL concept move:CapitalExpenditures.

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

Ask your AI about Corvex 's ai platform and services — capex.

Connect your AI assistant and compare it to peers, right in your chat.

Connect your AI
Harbor at dusk
Claude

Questions, answered.

What is Corvex 's AI platform and services — capex?
Corvex (MOVE) reported AI platform and services — capex of $6.24M in Q1 2026.
What does AI platform and services — capex mean?
This metric measures the cash outflows used to acquire, upgrade, or maintain physical assets within the AI Platform and Services segment. It primarily captures investments in high-performance computing hardware, networking equipment, and data center facilities required to support AI workloads. Tracking this metric is essential for understanding the company's growth strategy and its commitment to expanding its AI infrastructure footprint.