Skip to main content
Chegg10-Q: AI investment

Chegg's Skilling segment revenue grew 9%, driven by new AI-focused programs.

What happened

Chegg is successfully pivoting to its new 'Chegg Skilling' segment, with AI-focused programs being the primary growth driver ($0.9M of a $1.4M increase).

Source

SEC EDGARMay 11, 2026

Quarterly report (Form 10-Q)

Chegg 10-Q

Filing excerpt

Chegg Skilling revenues increased $1.4 million, or 9%, during the three months ended March 31, 2026, compared to the same period in 2025.

sec.gov/Archives/edgar/data/1364954/000136495426000048/chgg-20260331.htmRead the full source

Other signals in this filing (9)

Extracted by Autobound

From the Signal API record
Signal
10-Q: AI investment

What this signalsFilings often name leadership changes, deals and spending plans.

Fiscal year end
03/31
Filed
May 11, 2026

More 10-Q signals at other companies

The full record

From the Signal API record

Numbers

Dollar figure
$900K (Quarterly revenue increase from AI-focused workforce skilling programs)
Percent
9% (Year-over-year revenue growth for Chegg Skilling segment)

Details

CIK
1364954
Accession number
0001364954-26-000048
Timeframe
Current quarter
Filing year
2026
Fiscal year
0
Why it matters
Target for AI vendors
Signal category
Technology

Topics and mentions

Technologies

  • AI

Extraction

Confidence
High
Relevance
85%
Sentiment
Positive
Detected
May 12, 2026
signal_type
sec-10q
signal_subtype
aiInvestment

Use this data

Get every 10-Q signal for Chegg and the companies you sell to, in the tools you already use.

  1. Ask Claude about it

    Connect Autobound to Claude, Claude Code or Cursor with MCP. Then ask: “What changed at Chegg this week?”

  2. Send it to your own tools

    The Signal API returns 10-Q signals for any list of companies as JSON, for your CRM, warehouse or app.

  3. Try it free

    Sign up and spend your free credits on the companies you sell to.

    Start Free1,000 free credits

The API returns more than this page shows

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 API
  • industriesValue in the API
  • employee_count_lowValue in the API
  • employee_count_highValue in the API
  • revenueValue in the API
  • descriptionValue in the API

Signal

  • signal_nameValue in the API
  • associationValue in the API
Show the full JSONThe record on this page and the API request

GET /v1/signals/fd2fd899-3a87-4494-a246-259a88bf7173 returns this record as JSON. POST /v1/companies/enrich returns every signal for chegg.com.

{
  "signal_id": "fd2fd899-3a87-4494-a246-259a88bf7173",
  "signal_type": "sec-10q",
  "signal_subtype": "aiInvestment",
  "detected_at": "2026-05-12T09:24:55.196+00:00",
  "company": {
    "name": "Chegg",
    "domain": "chegg.com"
  },
  "data": {
    "detail": "Chegg is successfully pivoting to its new 'Chegg Skilling' segment, with AI-focused programs being the primary growth driver ($0.9M of a $1.4M increase). This strategic focus on AI creates opportunities for vendors of AI infrastructure, development tools, and data platforms.",
    "metrics": {
      "pct": 0.09,
      "timeframe": "current_quarter",
      "pct_context": "Year-over-year revenue growth for Chegg Skilling segment",
      "dollar_context": "Quarterly revenue increase from AI-focused workforce skilling programs",
      "dollar_millions": 0.9
    },
    "summary": "Chegg's Skilling segment revenue grew 9%, driven by new AI-focused programs.",
    "excerpts": "Chegg Skilling revenues increased $1.4 million, or 9%, during the three months ended March 31, 2026, compared to the same period in 2025.",
    "relevance": 0.85,
    "sentiment": "positive",
    "confidence": "high",
    "source_url": "https://www.sec.gov/Archives/edgar/data/1364954/000136495426000048/chgg-20260331.htm",
    "filing_date": "2026-05-11",
    "filing_year": 2026,
    "fiscal_year": 0,
    "fiscal_year_end": "03/31",
    "sales_relevance": "Target for AI vendors",
    "signal_category": "technology",
    "technologies_mentioned": [
      "AI"
    ]
  }
}

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.