Earnings Transcript

Trends extracted from a company's earnings transcript.

Overview

Earnings Transcripts capture what executives say on quarterly earnings calls—the most candid public statements about a company's priorities, challenges, and investments.

We ingest transcripts from 4,000+ public companies on a weekly basis. Our model scans the full transcript—CEO remarks, CFO commentary, and analyst Q&A—to extract signals across 40+ subtypes. A single transcript typically produces 5-15 signals, each with direct quotes and speaker attribution. We prioritize statements with dollar amounts, percentages, or explicit commitments over generic commentary.

Available Subtypes

Subtype EnumCategoryDescription
acquisitionActivitygrowthM&A activity-acquiring or being acquired
aiInvestmentbudgetAI/ML specific investment or priority
budgetbudgetGeneral budget discussion
budgetAndSpendingbudgetBudget and spending discussion
budgetGrowthbudgetBudget growth mentioned
budgetIncreasebudgetSpecific budget increase announced
capexDecreasebudgetCapital expenditure decrease announced
capexIncreasebudgetMajor capital expenditure increase announced
cloudInvestmentbudgetCloud infrastructure/migration investment
competitiveIntelligencecompetitiveCompetitive dynamics discussed
competitivePressurepainCompetitive threats or market share loss
competitorMentioncompetitiveCompetitor explicitly mentioned
costPressurepainCost/margin pressures discussed
customerExperienceFocusstrategicCustomer experience improvement priority
customerGrowthgrowthCustomer base expanding significantly
customerWingrowthSignificant customer win announced
dataInvestmentbudgetData infrastructure/analytics investment
digitalTransformationstrategicDigital transformation initiative
efficiencyFocusstrategicOperational efficiency as priority
growthSignalgrowthGeneral growth indicator
guidanceLowerstrategicFinancial guidance lowered
guidanceRaisestrategicFinancial guidance raised
headcountGrowthgrowthSignificant hiring or workforce expansion
investmentCommitmentbudgetSpecific investment commitment announced
layoffsorganizationalWorkforce reduction announced
leadershipChangeorganizationalNew C-level executive or leadership change
marketExpansiongrowthGeographic or market segment expansion
marketShareGaingrowthGaining market share
marketShareLosscompetitiveLosing market share
organizationalChangeorganizationalOrganizational structure changes
painPointpainGeneral pain point identified
productLaunchgrowthNew product or service announcement
regulatoryPressurepainRegulatory compliance challenges
restructuringorganizationalOrganizational restructuring
revenueAccelerationgrowthRevenue growth rate increasing
scalingChallengepainScaling or capacity constraints
securityInvestmentbudgetCybersecurity investment or priority
strategicInitiativestrategicStrategic initiative announced
strategicInitiativesstrategicMultiple strategic initiatives discussed
strategicPartnershipgrowthStrategic partnership announced
supplyChainPainpainSupply chain challenges mentioned
sustainabilityFocusstrategicESG or sustainability initiative
talentChallengepainHiring or talent retention challenges
techBudgetGrowthbudgetTechnology/IT budget explicitly growing
techDebtPainpainLegacy systems or technical debt mentioned
techInvestmentbudgetGeneral technology investment
vendorSelectionbudgetVendor evaluation or selection process mentioned

Signal Categories

Signals are organized into these categories:

CategoryDescription
budgetCompanies actively investing-indicates available budget
growthCompanies expanding-increased operational needs
painChallenges mentioned-opportunity to solve
strategicWhat executives explicitly prioritize
organizationalTiming opportunities from internal changes
competitiveMarket positioning insights

Schema

{
  "signal_id": "5f8f438a9fbf14db",
  "signal_type": "earnings-transcript",
  "signal_subtype": "investmentCommitment",
  "signal_name": "Telesat Corporation Committing up to $1.2 billion for Lightspeed LEO project in 2026",
  "detected_at": "2026-03-24T05:30:36.503139Z",
  "company": {
    "name": "Telesat Corporation",
    "domain": "telesat.com",
    "linkedin_url": "linkedin.com/company/telesat/",
    "ticker": "TSAT",
    "industries": [
      "Communication Equipment"
    ],
    "sector": "Technology"
  },
  "data": {
    "fiscal_period": "Q1",
    "fiscal_year": 2026,
    "earnings_date": "2026-03-17 10:30:00",
    "signal_category": "guidance",
    "sales_relevance": "Long-term commitment = sustained vendor opportunities",
    "relevance": 1.0,
    "confidence": "high",
    "sentiment": "positive",
    "headline": "Committing up to $1.2 billion for Lightspeed LEO project in 2026",
    "detail": "The company has a massive budget of $1.0B to $1.2B for its Lightspeed LEO satellite project in 2026, covering CapEx, OpEx, and vendor payments. This massive spend creates significant opportunities for suppliers across the satellite and communications technology stack.",
    "evidence": [
      "In the LEO segment, we expect to spend between $1.0 billion and $1.2 billion on Telesat Lightspeed in 2026, including operating costs, capitalized labor and interest, and capital expenditures incurred with third-party vendors and suppliers."
    ],
    "evidence_speakers": [
      {
        "speaker_name": "Donald",
        "speaker_title": "CFO"
      }
    ],
    "competitors_mentioned": [],
    "vendors_mentioned": [],
    "technologies_mentioned": [
      "LEO",
      "Lightspeed"
    ],
    "regions": [],
    "metric_dollar_millions": 1200.0,
    "metric_pct": null,
    "metric_headcount": null
  },
  "association": "company",
  "batch_id": "batch-b46106b1"
}

Field Reference

Core Fields

FieldTypeRequiredDescription
signal_idstringUnique identifier for this signal
signal_typestringAlways "earnings-transcript"
signal_subtypestringSpecific signal subtype (see subtypes list)
signal_namestringHuman-readable signal headline with company name
detected_atstring (ISO 8601)Timestamp when the signal was extracted
associationstringAlways "company"
batch_idstringProcessing batch identifier

Company Object

FieldTypeRequiredDescription
company.namestringCompany name
company.domainstringCompany website domain
company.linkedin_urlstring (URL)LinkedIn company page URL
company.tickerstringStock ticker symbol
company.industriesarray[string]Industry classifications
company.sectorstringBusiness sector

Data Object

FieldTypeRequiredDescription
data.fiscal_periodstringFiscal quarter (Q1, Q2, Q3, Q4)
data.fiscal_yearintegerThe company's fiscal year that this report covers. May not align with the calendar year — e.g., a company with a January fiscal year-end would file its FY2025 report in early 2026
data.earnings_datestring (ISO 8601)Date of earnings call
data.signal_categorystringCategory grouping (budget, growth, pain, etc.) (budget, competitive, growth, guidance, organizational, pain, partnership, priority)
data.sales_relevancestringA brief phrase describing how this signal creates a potential sales opportunity — e.g., 'Integration needs coming', 'Change management needs'. Useful for quickly assessing outreach angles without reading the full signal
data.relevancefloat (0.0-1.0)Score indicating how actionable this signal is for sales outreach (0.0–1.0, where 1.0 is highest). Higher values reflect greater commercial relevance based on factors like event magnitude, recency, and potential impact on buying decisions
data.confidencestringConfidence level in the signal accuracy (high, medium, low)
data.sentimentstringAI-classified from the transcript text (not rule-based). The model reads the relevant excerpt and assesses whether the disclosed event is favorable, unfavorable, or neutral for the company. positive = favorable developments (growth, investment, expansion), negative = unfavorable developments (risk, cost pressure, challenges), neutral = informational without clear positive or negative implications. Often correlates with signal subtype but is context-dependent
data.headlinestringConcise insight summary
data.detailstringAI-generated multi-sentence analysis explaining the significance of the finding — includes context about why it matters for the company and potential implications for sales outreach
data.evidencearray[string]Direct quotes from transcript
data.evidence_speakersarray[object]Speaker attribution for each quote
data.competitors_mentionedarray[string]Competitors mentioned
data.vendors_mentionedarray[string]Vendors mentioned
data.technologies_mentionedarray[string]Technologies/products mentioned
data.regionsarray[string]Geographic regions mentioned
data.metric_dollar_millionsfloatDollar amount in millions
data.metric_pctfloatPercentage as decimal (e.g., 0.15 = 15%)
data.metric_headcountinteger (nullable)Headcount number

Data Activation

Timing

detected_at is when Autobound processed the transcript. Use data.earnings_date for when the call actually occurred - this is the authoritative event timestamp. Transcripts typically become available 1-7 days after the call.

Uniqueness

One signal per subtype per company per earnings call. A single call can produce 5-15 signals across different subtypes (budget, growth, pain, etc.).

Delivery

Each delivery arrives in a timestamped folder. Signals in that folder cover the window between this delivery and the previous one. Treat all signals in a new folder as recent and actionable—no need to diff against prior deliveries.

Best Practices

  • Filter on relevance and confidence both above 0.9 for high-precision use cases
  • Build picklists from signal_subtype values
  • Use data.earnings_date to calculate freshness: detected_at - earnings_date
  • Use evidence_speakers for routing signals by executive role (CFO statements to finance teams, etc.)

API Usage

Generate Content API

{
  "enabledInsights": [
    "capexIncrease",
    "aiInvestment",
    "strategicInitiative"
  ],
  "disabledInsights": []
}

Generate Insights API

{
  "insightSubtype": "capexIncrease"
}

Example Output

"Noticed in Telesat's Q1 earnings call that you're committing $1.0-1.2B for the Lightspeed LEO project in 2026, covering CapEx, OpEx, and vendor payments. That's a massive spend across the satellite technology stack—would love to share how we're helping similar companies optimize their vendor evaluation during large infrastructure buildouts."

Coverage

  • Refresh: Weekly
  • Coverage: 7,000 public companies
  • Best for: Enterprise sales, Executive outreach, Strategic account planning