Filing excerpt
Rapid technological changes may render our technology obsolete or decrease the competitiveness of our services.
sec.gov/Archives/edgar/data/900075/000119312526245578/cprt-20260430.htmRead the full source
Copart10-Q: Market share loss
Copart is evaluating AI and machine learning to prevent technological obsolescence and competitive disadvantage.
What happened
The company explicitly states it is evaluating artificial intelligence, machine learning, and generative AI to keep its services competitive.
Source
Other signals in this filing (5)
- Platform strategyCopart investing in new information systems, risking business disruption and high costs.Platform strategy
- AI investmentCopart is actively evaluating AI, machine learning, and generative AI to avoid technology obsolescence.AI investment
- Capex increaseCopart flags risk of disruption and high costs from ongoing IT system upgrades.Capex increase
- Legacy modernizationCopart flags risk of disruption and high costs from ongoing information system enhancements.Legacy modernization
- International growthCopart faces challenges integrating newly acquired international operations.International growth
Extracted by Autobound
From the Signal API record- Signal
- 10-Q: Market share loss
What this signalsFilings often name leadership changes, deals and spending plans.
- Fiscal year end
- 04/30
- Filed
- May 28, 2026
More from Copart
- AcquisitionCopart Inc. stock gains on $1.9 billion ACV deal and fresh fiscal 2026 resultsAcquisition
- EarningsCopart Q4 Earnings Call HighlightsEarnings
- 8-KCopart announces definitive agreement to acquire ACV Auctions in a cash tender offer at $10.50 per share.8-K
- RevenueCopart (CPRT) Reports Earnings Tomorrow: What To ExpectRevenue
- GlassdoorReviews indicate poor work life balance and long hoursGlassdoor
- Website changesCopart appears to have migrated the registration page to a new registration and login experience with expanded account, seller, and account-management functionality.Website changes
More 10-Q signals at other companies
- SEC 10-QMillerKnoll, Inc.Jeffrey M. Stutz appointed Interim Chief Executive Officer.SEC 10-Q
- SEC 10-QCID HoldCo, Inc.Disclosed material weaknesses in financial reporting due to insufficient accounting staff and controls.SEC 10-Q
- SEC 10-QScholastic CorporationCore school channels decline with fewer book fairs and lower club participation.SEC 10-Q
The full record
From the Signal API recordDetails
- CIK
- 900075
- Accession number
- 0001193125-26-245578
- Timeframe
- Current year
- Filing year
- 2026
- Fiscal year
- 0
- Why it matters
- Urgency to improve
Topics and mentions
Technologies
- artificial intelligence
- machine learning
- generative artificial intelligence
Extraction
- Confidence
- High
- Relevance
- 90%
- Sentiment
- Neutral
- Detected
- Jun 2, 2026
- signal_type
sec-10q- signal_subtype
marketShareLoss
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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 API
Signal
signal_nameValue in the APIassociationValue in the API
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GET /v1/signals/3a85fe0e-61ba-41e9-9fc0-743a47b37ae3 returns this record as JSON. POST /v1/companies/enrich returns every signal for copart.com.
{
"signal_id": "3a85fe0e-61ba-41e9-9fc0-743a47b37ae3",
"signal_type": "sec-10q",
"signal_subtype": "marketShareLoss",
"detected_at": "2026-06-02T08:18:25.89+00:00",
"company": {
"name": "Copart",
"domain": "copart.com"
},
"data": {
"detail": "The company explicitly states it is evaluating artificial intelligence, machine learning, and generative AI to keep its services competitive. This strategic initiative is driven by the risk of their proprietary technology becoming obsolete, creating a significant opportunity for vendors specializing in these emerging technologies.",
"metrics": {
"timeframe": "current_year"
},
"summary": "Copart is evaluating AI and machine learning to prevent technological obsolescence and competitive disadvantage.",
"excerpts": "Rapid technological changes may render our technology obsolete or decrease the competitiveness of our services.",
"relevance": 0.9,
"sentiment": "neutral",
"confidence": "high",
"source_url": "https://www.sec.gov/Archives/edgar/data/900075/000119312526245578/cprt-20260430.htm",
"filing_date": "2026-05-28",
"filing_year": 2026,
"fiscal_year": 0,
"fiscal_year_end": "04/30",
"sales_relevance": "Urgency to improve",
"signal_category": "market",
"technologies_mentioned": [
"artificial intelligence",
"machine learning",
"generative artificial intelligence"
]
}
}
curl https://signals.autobound.ai/v1/signals/3a85fe0e-61ba-41e9-9fc0-743a47b37ae3 \
-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":"copart.com","limit":20}'Long text fields are shortened on this page.
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