Massive growth in compute and memory sales for Artificial Intelligence applications is fueling a $1.2B revenue increase in the Semiconductor Test segment.
Filing excerpt
The increase in Semiconductor Test revenues of $1,198.2 million, or 115.8%, was driven primarily by higher sales in compute and memory primarily related to artificial intelligence applications.
What this signalsFilings often name leadership changes, deals and spending plans.
Technologies
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This page shows a preview. The full sec-10q record in the Signal API and MCP can also have these 8 fields. Some fields are empty for some signals.
Company
linkedin_urlValue in the APIindustriesValue in the APIemployee_count_lowValue in the APIemployee_count_highValue in the APIrevenueValue in the APIdescriptionValue in the APISignal
signal_nameValue in the APIassociationValue in the APIGET /v1/signals/0c52c975-2b27-4c61-8032-2428b4e9e397 returns this record as JSON. POST /v1/companies/enrich returns every signal for teradyne.com.
{
"signal_id": "0c52c975-2b27-4c61-8032-2428b4e9e397",
"signal_type": "sec-10q",
"signal_subtype": "marketExpansion",
"detected_at": "2026-08-04T07:06:53.329+00:00",
"company": {
"name": "Teradyne",
"domain": "teradyne.com"
},
"data": {
"detail": "Massive growth in compute and memory sales for Artificial Intelligence applications is fueling a $1.2B revenue increase in the Semiconductor Test segment. This indicates significant investment and operational scaling to meet this demand, creating opportunities for vendors supporting high-growth manufacturing, supply chains, and R&D.",
"metrics": {
"pct": 1.158,
"timeframe": "current_year",
"pct_context": "Year-over-year percentage increase in Semiconductor Test revenues for the six-month period",
"dollar_context": "Year-over-year increase in Semiconductor Test revenues for the six-month period",
"dollar_millions": 1198.2
},
"summary": "Semiconductor Test revenue skyrockets 115.8% ($1.2B) driven by AI demand",
"excerpts": "The increase in Semiconductor Test revenues of $1,198.2 million, or 115.8%, was driven primarily by higher sales in compute and memory primarily related to artificial intelligence applications.",
"relevance": 0.9,
"sentiment": "positive",
"confidence": "high",
"source_url": "https://www.sec.gov/Archives/edgar/data/97210/000119312526327715/ter-20260628.htm",
"filing_date": "2026-07-31",
"filing_year": 2026,
"fiscal_year": 0,
"fiscal_year_end": "06/28",
"sales_relevance": "Scaling infrastructure needed",
"signal_category": "market",
"technologies_mentioned": [
"artificial intelligence"
]
}
}
curl https://signals.autobound.ai/v1/signals/0c52c975-2b27-4c61-8032-2428b4e9e397 \
-H "X-API-KEY: $AUTOBOUND_API_KEY"curl -X POST https://signals.autobound.ai/v1/companies/enrich \
-H "X-API-KEY: $AUTOBOUND_API_KEY" \
-H "Content-Type: application/json" \
-d '{"domain":"teradyne.com","limit":20}'Long text fields are shortened on this page.
Looking up one signal by its id is free. Enrich costs 2 credits per signal returned; a call with no results is free.