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AXION

Corp. Intelligence KPIs

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GET/profiles/:ticker/statistics

Provides fundamental financial metrics including enterprise value, shares outstanding, short interest, insider/institutional ownership, and valuation ratios.

Path Parameters

ParameterTypeRequiredDescription
tickerstringRequiredStock ticker symbol

Examples:

https://api.axionquant.com/profiles/AAPL/statistics
https://api.axionquant.com/profiles/MSFT/statistics

Key Response Fields

enterpriseValue

Market cap + debt - cash

forwardPE, profitMargins

Forward P/E and net profit margin

floatShares, sharesOutstanding

Shares available for trading and total outstanding

sharesShort, shortRatio, shortPercentOfFloat

Short interest metrics

heldPercentInsiders, heldPercentInstitutions

Ownership percentages

bookValue, priceToBook

Book value per share and P/B ratio

lastSplitDate, lastSplitFactor

Most recent stock split

|

Key Statistics (Apple)

Request

Sample code
1from axion import Axion
2client = Axion(api_key='axn_123')
3
4statistics = client.profiles.statistics('AAPL')
5print(statistics)

Response

{
  "enterpriseValue": 4079655583744,
  "forwardPE": 29.84,
  "profitMargins": 0.269,
  "floatShares": 14750642146,
  "sharesOutstanding": 14776353000,
  "sharesShort": 129458559,
  "shortRatio": 2.64,
  "shortPercentOfFloat": 0.0088,
  "heldPercentInsiders": 0.01697,
  "heldPercentInstitutions": 0.64406,
  "beta": 1.107,
  "bookValue": 4.991,
  "priceToBook": 54.54,
  "lastSplitFactor": "4:1",
  "lastSplitDate": 1598832000
}
GET/profiles/:ticker/recommendation

Returns analyst consensus recommendations over the last four periods (current month and three prior months). Shows the number of analysts rating the stock as Strong Buy, Buy, Hold, Sell, and Strong Sell.

Path Parameters

ParameterTypeRequiredDescription
tickerstringRequiredStock ticker symbol

Examples:

https://api.axionquant.com/profiles/AAPL/recommendation
https://api.axionquant.com/profiles/MSFT/recommendation

Response Fields

period

Time period relative to current month ("0m", "-1m", etc.)

strongBuy, buy, hold, sell, strongSell

Number of analysts with each rating

|

Recommendation Trends (Apple)

Request

Sample code
1from axion import Axion
2client = Axion(api_key='axn_123')
3
4recommendation = client.profiles.recommendation('AAPL')
5print(recommendation)

Response

[
  {
    "period": "0m",
    "strongBuy": 5,
    "buy": 24,
    "hold": 15,
    "sell": 1,
    "strongSell": 3
  },
  {
    "period": "-1m",
    "strongBuy": 5,
    "buy": 24,
    "hold": 15,
    "sell": 1,
    "strongSell": 3
  },
  {
    "period": "-2m",
    "strongBuy": 5,
    "buy": 24,
    "hold": 15,
    "sell": 1,
    "strongSell": 3
  },
  {
    "period": "-3m",
    "strongBuy": 5,
    "buy": 23,
    "hold": 15,
    "sell": 1,
    "strongSell": 3
  }
]
GET/profiles/:ticker/calendar

Provides upcoming earnings dates, earnings call dates, and dividend calendar information. Includes consensus estimates for EPS and revenue when available.

Path Parameters

ParameterTypeRequiredDescription
tickerstringRequiredStock ticker symbol

Examples:

https://api.axionquant.com/profiles/AAPL/calendar
https://api.axionquant.com/profiles/MSFT/calendar

Key Response Fields

earnings.earningsDate

Array of expected earnings release dates

earnings.earningsCallDate

Array of expected conference call dates

earnings.earningsAverage, earningsLow, earningsHigh

Analyst EPS estimate range and average

earnings.revenueAverage, revenueLow, revenueHigh

Analyst revenue estimate range and average

exDividendDate, dividendDate

Ex-dividend and payment dates

|

Calendar Events (Apple)

Request

Sample code
1from axion import Axion
2client = Axion(api_key='axn_123')
3
4calendar = client.profiles.calendar('AAPL')
5print(calendar)

Response

{
  "earnings": {
    "earningsDate": ["2026-01-29T21:00:00.000Z"],
    "earningsCallDate": ["2025-10-30T21:00:00.000Z"],
    "isEarningsDateEstimate": true,
    "earningsAverage": 2.6647,
    "earningsLow": 2.51,
    "earningsHigh": 2.76,
    "revenueAverage": 138253076640,
    "revenueLow": 136679500000,
    "revenueHigh": 142741000000
  },
  "exDividendDate": "2025-11-10T00:00:00.000Z",
  "dividendDate": "2025-11-13T00:00:00.000Z"
}