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POST
/
v1
/
businesses
/
financial_indicators
/
enrich
Financial Indicators
curl --request POST \
  --url https://api.explorium.ai/v1/businesses/financial_indicators/enrich \
  --header 'Content-Type: application/json' \
  --header 'api_key: <api-key>' \
  --data '{
  "request_context": {},
  "parameters": {
    "date": "2023-11-07T05:31:56Z"
  },
  "business_id": "<string>"
}'
{
  "response_context": {
    "correlation_id": "<string>",
    "request_status": "success",
    "time_took_in_seconds": 123
  },
  "data": {
    "asset_turnover": 123,
    "cagr": 123,
    "cogs": 123,
    "earnings_surprises": {},
    "ebitda": 123,
    "enterprise_value_over_ebitda": 123,
    "leadership": [
      {}
    ],
    "peer_companies": {},
    "price_earnings_ratio": 123,
    "revenue_yearly": 123,
    "roa": 123,
    "roc": 123,
    "sg_and_a": 123,
    "tsr_1y": 123,
    "tsr_3y": 123,
    "tsr_5y": 123,
    "working_capital": 123
  },
  "entity_id": "<string>"
}

Description

The Financial Metrics Enrichment endpoint provides key financial indicators for publicly traded companies worldwide. This dataset helps users analyze a company’s financial performance, stability, and investment potential. By querying with a business_id, users can retrieve both current and historical financial data spanning up to 20 years. This data includes:
  • Annual and quarterly revenue
  • Return on capital
  • Total shareholder return
  • Profitability ratios
  • Market valuation metrics
The data is sourced from trusted financial institutions such as the SEC (Securities and Exchange Commission), NYSE, NASDAQ, AMEX, EURONEXT, and TSX.
  • Input: Provide a business_id obtained from the Match Businesses API.
  • Processing: The system retrieves financial indicators from global stock exchanges and regulatory filings.
  • Output: A structured response with financial metrics relevant to the selected business.
  • Use financial metrics to assess company growth trends and investment risks.
  • Combine financial data with firmographics for a full-picture company analysis.
  • Leverage historical data to compare performance over different market cycles.
  • Cross-reference stock market insights with company ratings and workforce trends for a deeper analysis.
SignalAPINameDescriptionData Type
metric_nameMetric nameName of the financial metric.string
metric_valueMetric valueValue of the financial metric.number
reporting_periodReporting periodReporting period (quarterly, annually).string
fiscal_yearFiscal yearFiscal year of the metric.integer
currencyCurrencyCurrency of the financial metric.string
metric_categoryMetric categoryCategory of the metric (revenue, profitability, etc.).string
growth_rateGrowth rateGrowth rate compared to previous period.number
industry_benchmarkIndustry benchmarkIndustry benchmark for comparison.number
analyst_estimatesAnalyst estimatesAnalyst estimates for the metric.number
guidanceGuidanceCompany guidance for the metric.number
variance_to_estimateVariance to estimateVariance from analyst estimates.number
variance_to_guidanceVariance to guidanceVariance from company guidance.number
peer_comparisonPeer comparisonComparison to peer companies.string
trend_analysisTrend analysisTrend analysis of the metric.string
seasonalitySeasonalitySeasonal patterns in the metric.string
margin_analysisMargin analysisMargin analysis for profitability metrics.string
segment_breakdownSegment breakdownBreakdown by business segment.string
For additional enrichment options, explore related API endpoints below.

Body Params - Try Me Example

business_id: a34bacf839b923770b2c360eefa26748

Authorizations

api_key
string
header
required

Body

application/json
business_id
string
required
request_context
object
parameters
object

Response

Successful Response

This is base response model for all responses in partner service.

response_context
object
required
data
entity_id
I