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Daily Fundamentals

Overview

Daily Fundamentals

(daily)

Samples

Key daily fundamental price-based metrics and ratios such as Market Cap, Enterprise Value, Price-to-Earnings, Price-to-Sales, Enterprise Value-to-EBIT and Enterprise Value to EBITDA. Provided on a Point-in-time/As-Reported basis. Covers all active and tickers in the fundamentals table. Deep history to 1998.

Table details

View table

Explore table metadata

The table is queried via the following endpoint:

https://api.sharadar.com/v1.0/data/daily?api_key=test-api-key&ticker=AAPL

The queries are authenticated and filtered using query parameters. A query parameter specifies a particular option or filter for the data to be returned. Examples of query parameter include the data format to be returned (format), the table columns to return (fields) or a filter to be applied (tablename). These are appended to the endpoint above, following a ?. The most important of these is your API key (api_key) which is used to authenticate you. Without a valid API key, results will not be returned.

The daily table supports the following query parameters:

ParameterDescriptionDefaultExamples
formatThe format of the results to be returned.csvformat=json
yearsTriggers a bulk download of the full table as a compressed CSV. Values: 5, 10, or full. The API redirects to a time-limited download URL.years=5
fromSpecifies the filing date from which to return data.1 year agofrom=2023-08-01
toSpecifies the filing date to return data until.prior dayto=2023-08-31
fieldsThe fields (table columns) to return.allfields=date,ticker,pb,pe,ps
lastupdatedSpecifies the last date on which a record was updated. This can be used to retrieve recently updated records.lastupdated.gte=2023-09-31
tickerReturns results for the specified ticker. Multiple tickers should be separated with a comma(,).allticker=TSLA
limitThe number of records to return.10000limit=10000
skipThe number of results to skip before returning data. Alias: offset.0skip=10000
sortThe field used to sort the data and the sort method (asc/desc).date.descsort=pe.asc

Retrieve the PostgreSQL schema:

https://api.sharadar.com/v1.0/schema/daily?format=postgres

Retrieve the SQLite schema:

https://api.sharadar.com/v1.0/schema/daily?format=sqlite

Retrieve the MySQL schema:

https://api.sharadar.com/v1.0/schema/daily?format=mysql

Return all daily metrics for a specified ticker:

https://api.sharadar.com/v1.0/data/daily?api_key=test-api-key&format=csv&ticker=AAPL

Return all daily metrics for a specified date range:

https://api.sharadar.com/v1.0/data/daily?api_key=test-api-key&format=csv&from=2023-08-01&to=2023=08-31

Return daily metrics that have been updated since a specified date:

https://api.sharadar.com/v1.0/data/metrics?api_key=test-api-key&format=csv&lastupdated.gte=2023-08-01

In Google Sheets, retrieve daily fundamentals for a single ticker (AAPL) with IMPORTDATA. You can change the query parameters (ticker, dates, fields, filters, and so on) in the same way as the Examples in the preceding section. Paste this formula into a cell (A1):

=IMPORTDATA("https://api.sharadar.com/v1.0/data/daily?api_key=test-api-key&format=csv&ticker=AAPL")

Download the [daily] table as a compressed CSV by setting years to 5, 10, or full. The API responds with a redirect to a time-limited download URL:

https://api.sharadar.com/v1.0/data/daily?api_key=test-api-key&years=5

https://api.sharadar.com/v1.0/data/daily?api_key=test-api-key&years=full

Example using curl (follow redirects and write the file):

curl -L -o daily.csv.zip "https://api.sharadar.com/v1.0/data/daily?api_key=test-api-key&years=full"

Check bulk file status for available history lengths:

https://api.sharadar.com/v1.0/data/daily?api_key=test-api-key&status=True

Example response:

{ "table": "daily", "files": [ { "history": "5y", "historyLabel": "5 Years", "name": "daily-5Y.csv.zip", "size": 137008441, "sizeLabel": "130.7 MB", "modified": "…", "available": true }, { "history": "full", "historyLabel": "Full History", "name": "daily.csv.zip", "size": 766672417, "sizeLabel": "731.2 MB", "modified": "…", "available": true } ] }

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