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Duolingo10-Q: Capex increase

Duolingo boosts Q2 R&D spend by 13% to $88M, driven by hiring and software costs.

What happened

The company increased R&D expense by $10.1 million, primarily for hiring personnel ($7.9M) and for third-party contractors and software ($1.2M). This signals significant investment in product development and a need for related tools and services.

Source

SEC EDGARAug 5, 2026

Quarterly report (Form 10-Q)

Duolingo 10-Q

Filing excerpt

Research and development expense increased by $10.1 million, or 13%, to $88.0 million during the three months ended June 30, 2026... This increase was primarily due to higher personnel costs of $7.9 million resulting from increased average headcount to support our growth and product development, as well as a $1.2 million increase in third-party costs related to contractors and software.

sec.gov/Archives/edgar/data/1562088/000162828026053603/duol-20260630.htmRead the full source

Other signals in this filing (3)

Extracted by Autobound

From the Signal API record
Signal
10-Q: Capex increase

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

Fiscal year end
06/30
Filed
Aug 5, 2026

More 10-Q signals at other companies

The full record

From the Signal API record

Numbers

Dollar figure
$10.1M (YoY increase in R&D expense for Q2)
Percent
13% (YoY percentage increase in R&D expense for Q2)

Details

CIK
1562088
Accession number
0001628280-26-053603
Timeframe
Current quarter
Filing year
2026
Fiscal year
0
Why it matters
Budget available
Signal category
Financial

Topics and mentions

Technologies

  • AI
  • machine learning

Extraction

Confidence
High
Relevance
80%
Sentiment
Positive
Detected
Aug 11, 2026
signal_type
sec-10q
signal_subtype
capexIncrease

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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/e3e244f7-b2df-4913-9283-31fbe9eb5d86 returns this record as JSON. POST /v1/companies/enrich returns every signal for duolingo.com.

{
  "signal_id": "e3e244f7-b2df-4913-9283-31fbe9eb5d86",
  "signal_type": "sec-10q",
  "signal_subtype": "capexIncrease",
  "detected_at": "2026-08-11T08:09:32.673+00:00",
  "company": {
    "name": "Duolingo",
    "domain": "duolingo.com"
  },
  "data": {
    "detail": "The company increased R&D expense by $10.1 million, primarily for hiring personnel ($7.9M) and for third-party contractors and software ($1.2M). This signals significant investment in product development and a need for related tools and services.",
    "metrics": {
      "pct": 0.13,
      "timeframe": "current_quarter",
      "pct_context": "YoY percentage increase in R&D expense for Q2",
      "dollar_context": "YoY increase in R&D expense for Q2",
      "dollar_millions": 10.1
    },
    "summary": "Duolingo boosts Q2 R&D spend by 13% to $88M, driven by hiring and software costs.",
    "excerpts": "Research and development expense increased by $10.1 million, or 13%, to $88.0 million during the three months ended June 30, 2026... This increase was primarily due to higher personnel costs of $7.9 million resulting from increased average headcount to support our growth and product development, as well as a $1.2 million increase in third-party costs related to contractors and software.",
    "relevance": 0.8,
    "sentiment": "positive",
    "confidence": "high",
    "source_url": "https://www.sec.gov/Archives/edgar/data/1562088/000162828026053603/duol-20260630.htm",
    "filing_date": "2026-08-05",
    "filing_year": 2026,
    "fiscal_year": 0,
    "fiscal_year_end": "06/30",
    "sales_relevance": "Budget available",
    "signal_category": "financial",
    "technologies_mentioned": [
      "AI",
      "machine learning"
    ]
  }
}

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