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StoneX Group Inc. SNEX Data processing and equipment

Discontinued — last reported Q2 '26

Data processing and equipment at other companies

CME Group logo
CME GroupCME
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Segments

By segment

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Self-Directed/Retail$2.1M-19.2%
Institutional$1.2M+20.0%
Commercial$600K+50.0%
Payments$400K-20.0%

Other financials

Income statement

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Revenue$829.1M+70.1%
Gross profit-$43.4B-22.3%
Operating income-$10.9M+59.5%
Net income$174.3M+143%
EPS (diluted)$2.07+120%

Balance sheet

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Cash & equivalents$12.8B+114%
Total debt$1.9B+79.0%
Total equity$2.7B+43.4%
Total assets$53.6B+71.4%

Cash flow

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Operating cash flow$2.8B+1,911%
CapEx$21.3M+39.2%
Free cash flow$2.8B+1,736%

Valuation

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Market cap$11.02B+72.7%
Enterprise value$171.75M-272%
P/E23.8×+2.2×
P/S4.2×+0.8×

Profitability

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Gross margin-5,500.2%-539pp
Operating margin-2.6%-0.7pp
Net margin17.6%+2.1pp
FCF margin246.8%—

Returns & leverage

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Return on equity20.2%+2.9pp
Debt / equity0.7×+0.1×

Where this comes from

Reported directly by StoneX Group Inc. in its filing.

Tagged under the XBRL concept us-gaap:InformationTechnologyAndDataProcessing.

The official record: StoneX Group Inc.’s 10-Q, filed May 6, 2026, on SEC EDGAR. View the filing →

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Questions, answered.

What is StoneX Group Inc.'s data processing and equipment?
StoneX Group Inc. (SNEX) reported data processing and equipment of $28.4M in Q1 2026.
How has StoneX Group Inc.'s data processing and equipment changed year-over-year?
StoneX Group Inc.'s data processing and equipment increased by 35.9% year-over-year, from $20.9M to $28.4M.
What is the long-term trend for StoneX Group Inc.'s data processing and equipment?
Over 4 years (2021 to 2025), StoneX Group Inc.'s data processing and equipment has grown at a 17.4% compound annual growth rate (CAGR), from $46M to $87.3M.
What does data processing and equipment mean?
Costs for maintaining internal IT systems and data processing infrastructure.
How do you interpret data processing and equipment?
Higher spending often indicates investment in digital transformation or system scalability, whereas lower spending may suggest legacy system reliance.
How does data processing and equipment compare across companies?
Comparable to IT infrastructure or technology support expenses in peer financial institutions.