Financials Earnings and Revenues by Sector

You can refine your search by specifying the sector of companies.

List of stock sectors

Using Requests:

import requests
your_api_key = 'your_api_key'
url = f'https://api.tradingeconomics.com/sectors?c={your_api_key}'
data = requests.get(url).json()
print(data)

Or using our package:

import tradingeconomics as te
te.login('your_api_key')
te.getSectors()

Using Requests:

const axios = require('axios');
(async () => {
    const your_api_key = 'your_api_key'
    const response = await axios.get(`https://api.tradingeconomics.com/sectors?c=${your_api_key}`)
    console.log(response.data)
})()

Or using our package:

const te = require('tradingeconomics');
te.login('your_api_key');
data = te.getSectors().then(function(data){
  console.log(data)     
});

Using Requests:

using (var httpClient = new HttpClient())
{
    using (var request = new HttpRequestMessage(new HttpMethod("GET"), "https://api.tradingeconomics.com/sectors?c=your_api_key"))
    {
        request.Headers.TryAddWithoutValidation("Upgrade-Insecure-Requests", "1");
        var response = await httpClient.SendAsync(request);
        if (response.IsSuccessStatusCode)
        {
            var content = await response.Content.ReadAsStringAsync(); 
            Console.WriteLine(content);
        }
    }
}

The response data format can be configured by appending the &f= parameter to the URL request.

https://api.tradingeconomics.com/sectors?c={your_api_key}&f=json

[
  {
    "Sector": "Communication Services"
  },
  {
    "Sector": "Communications"
  },
  {
    "Sector": "Consumer Discretionary"
  },
  {
    "Sector": "Consumer Staples"
  },
  {
    "Sector": "Energy"
  },
  {
    "Sector": "Financials"
  },
  {
    "Sector": "Health Care"
  },
  {
    "Sector": "Industrials"
  },
  {
    "Sector": "Information Technology"
  },
  {
    "Sector": "Materials"
  },
  {
    "Sector": "Period End Date"
  },
  {
    "Sector": "Real Estate"
  },
  {
    "Sector": "Technology"
  },
  {
    "Sector": "Utilities"
  }
]

https://api.tradingeconomics.com/sectors?c={your_api_key}&f=csv

Sector
Communication Services
Communications
Consumer Discretionary

https://api.tradingeconomics.com/sectors?c={your_api_key}&f=xml

<ArrayOfSectorsItem xmlns:i="http://www.w3.org/2001/XMLSchema-instance" xmlns="http://schemas.datacontract.org/2004/07/API.Models">
<SectorsItem>
<Sector>Communication Services</Sector>
</SectorsItem>
<SectorsItem>
<Sector>Communications</Sector>
</SectorsItem>
<SectorsItem>
<Sector>Consumer Discretionary</Sector>
</SectorsItem>
<SectorsItem>
<Sector>Consumer Staples</Sector>
</SectorsItem>
<SectorsItem>
<Sector>Energy</Sector>
</SectorsItem>
<SectorsItem>
<Sector>Financials</Sector>
</SectorsItem>
<SectorsItem>
<Sector>Health Care</Sector>
</SectorsItem>
<SectorsItem>
<Sector>Industrials</Sector>
</SectorsItem>
<SectorsItem>
<Sector>Information Technology</Sector>
</SectorsItem>
<SectorsItem>
<Sector>Materials</Sector>
</SectorsItem>
<SectorsItem>
<Sector>Period End Date</Sector>
</SectorsItem>
<SectorsItem>
<Sector>Real Estate</Sector>
</SectorsItem>
<SectorsItem>
<Sector>Technology</Sector>
</SectorsItem>
<SectorsItem>
<Sector>Utilities</Sector>
</SectorsItem>
</ArrayOfSectorsItem>

https://api.tradingeconomics.com/sectors?c={your_api_key}

Sector
Communication Services
Communications
Consumer Discretionary

By sector

Using Requests:

import requests
your_api_key = 'your_api_key'
url = f'https://api.tradingeconomics.com/earnings-revenues/sector/materials?c={your_api_key}'
data = requests.get(url).json()
print(data)

Or using our package:

te.getEarnings(sector = 'materials')

Using Requests:

const axios = require('axios');
(async () => {
    const your_api_key = 'your_api_key'
    const response = await axios.get(`https://api.tradingeconomics.com/earnings-revenues/sector/materials?c=${your_api_key}`)
    console.log(response.data)
})()

Or using our package:

data = te.getEarnings(sector = 'materials').then(function(data){
  console.log(data)     
});

Using Requests:

new HttpRequestMessage(new HttpMethod("GET"), "https://api.tradingeconomics.com/earnings-revenues/sector/materials?c=your_api_key");

https://api.tradingeconomics.com/earnings-revenues/sector/{sector}?c={your_api_key}&f=json

[
  {
    "Date": "2023-09-04",
    "Symbol": "ARI:SJ",
    "Name": "African Rainbow Minerals",
    "Actual": "19.37",
    "ActualValue": 19.37,
    "Forecast": "0.00",
    "ForecastValue": 0.0,
    "Previous": "39.15",
    "PreviousValue": 39.15,
    "Revenue": "6.72B",
    "RevenueValue": 6720000000.0,
    "RevenueForecast": "",
    "RevenueForecastValue": null,
    "RevenuePrevious": "9.85B",
    "RevenuePreviousValue": 9850000000.0,
    "MarketCapUSD": 1726756424,
    "FiscalTag": "FY2023H2",
    "FiscalReference": "H2",
    "CalendarReference": "2023-06-30",
    "Country": "South Africa",
    "Currency": "ZAR",
    "Importance": 1,
    "Session": 24,
    "MarketRelease": "by_day_end",
    "LastUpdate": "2023-09-22T12:51:00"
  },
  {
    "Date": "2023-09-05",
    "Symbol": "MDI:CN",
    "Name": "Major Drilling",
    "Actual": "0.26",
    "ActualValue": 0.26,
    "Forecast": "0.26",
    "ForecastValue": 0.26,
    "Previous": "0.29",
    "PreviousValue": 0.29,
    "Revenue": "198.88M",
    "RevenueValue": 198880000.0,
    "RevenueForecast": "203.35M",
    "RevenueForecastValue": 203350000.0,
    "RevenuePrevious": "199.84M",
    "RevenuePreviousValue": 199840000.0,
    "MarketCapUSD": 492164453,
    "FiscalTag": "FY2024Q1",
    "FiscalReference": "Q1",
    "CalendarReference": "2023-07-31",
    "Country": "Canada",
    "Currency": "CAD",
    "Importance": 1,
    "Session": 21,
    "MarketRelease": "after_close",
    "LastUpdate": "2023-09-27T13:36:00"
  },
  {
    "Date": "2023-09-27",
    "Symbol": "WOR:US",
    "Name": "Worthington Industries",
    "Actual": "2.06",
    "ActualValue": 2.06,
    "Forecast": "2.04",
    "ForecastValue": 2.04,
    "Previous": "1.61",
    "PreviousValue": 1.61,
    "Revenue": "1.2B",
    "RevenueValue": 1200000000.0,
    "RevenueForecast": "1.23B",
    "RevenueForecastValue": 1230000000.0,
    "RevenuePrevious": "1.41B",
    "RevenuePreviousValue": 1410000000.0,
    "MarketCapUSD": 3053300000,
    "FiscalTag": "FY2024Q1",
    "FiscalReference": "Q1",
    "CalendarReference": "2023-08-31",
    "Country": "United States",
    "Currency": "USD",
    "Importance": 1,
    "Session": 13,
    "MarketRelease": "before_open",
    "LastUpdate": "2023-09-30T04:35:00"
  }
]

https://api.tradingeconomics.com/earnings-revenues/sector/{sector}?c={your_api_key}&f=csv

Date,Symbol,Name,Actual,ActualValue,Forecast,ForecastValue,Previous,PreviousValue,Revenue,RevenueValue,RevenueForecast,RevenueForecastValue,RevenuePrevious,RevenuePreviousValue,MarketCapUSD,FiscalTag,FiscalReference,CalendarReference,Country,Currency,Importance,Session,MarketRelease,LastUpdate
2023-09-04,ARI:SJ,African Rainbow Minerals,19.37,19.37,0.00,0,39.15,39.15,6.72B,6720000000,,,9.85B,9850000000,1726756424,FY2023H2,H2,2023-06-30,South Africa,ZAR,1,24,by_day_end,9/22/2023 12:51:00 PM
2023-09-05,MDI:CN,Major Drilling,0.26,0.26,0.26,0.26,0.29,0.29,198.88M,198880000,203.35M,203350000,199.84M,199840000,492164453,FY2024Q1,Q1,2023-07-31,Canada,CAD,1,21,after_close,9/27/2023 1:36:00 PM
2023-09-27,WOR:US,Worthington Industries,2.06,2.06,2.04,2.04,1.61,1.61,1.2B,1200000000,1.23B,1230000000,1.41B,1410000000,3053300000,FY2024Q1,Q1,2023-08-31,United States,USD,1,13,before_open,9/30/2023 4:35:00 AM

https://api.tradingeconomics.com/earnings-revenues/sector/{sector}?c={your_api_key}&f=xml

<ArrayOfMarkets.EarningsRevenuesItem xmlns:i="http://www.w3.org/2001/XMLSchema-instance" xmlns="http://schemas.datacontract.org/2004/07/APILib.DB">
<Markets.EarningsRevenuesItem>
<Actual>19.37</Actual>
<ActualValue>19.37</ActualValue>
<CalendarReference>2023-06-30</CalendarReference>
<Country>South Africa</Country>
<Currency>ZAR</Currency>
<Date>2023-09-04</Date>
<FiscalReference>H2</FiscalReference>
<FiscalTag>FY2023H2</FiscalTag>
<Forecast>0.00</Forecast>
<ForecastValue>0</ForecastValue>
<Importance>1</Importance>
<LastUpdate>2023-09-22T12:51:00</LastUpdate>
<MarketCapUSD>1726756424</MarketCapUSD>
<MarketRelease>by_day_end</MarketRelease>
<Name>African Rainbow Minerals</Name>
<Previous>39.15</Previous>
<PreviousValue>39.15</PreviousValue>
<Revenue>6.72B</Revenue>
<RevenueForecast/>
<RevenueForecastValue i:nil="true"/>
<RevenuePrevious>9.85B</RevenuePrevious>
<RevenuePreviousValue>9850000000</RevenuePreviousValue>
<RevenueValue>6720000000</RevenueValue>
<Session>24</Session>
<Symbol>ARI:SJ</Symbol>
</Markets.EarningsRevenuesItem>
<Markets.EarningsRevenuesItem>
<Actual>0.26</Actual>
<ActualValue>0.26</ActualValue>
<CalendarReference>2023-07-31</CalendarReference>
<Country>Canada</Country>
<Currency>CAD</Currency>
<Date>2023-09-05</Date>
<FiscalReference>Q1</FiscalReference>
<FiscalTag>FY2024Q1</FiscalTag>
<Forecast>0.26</Forecast>
<ForecastValue>0.26</ForecastValue>
<Importance>1</Importance>
<LastUpdate>2023-09-27T13:36:00</LastUpdate>
<MarketCapUSD>492164453</MarketCapUSD>
<MarketRelease>after_close</MarketRelease>
<Name>Major Drilling</Name>
<Previous>0.29</Previous>
<PreviousValue>0.29</PreviousValue>
<Revenue>198.88M</Revenue>
<RevenueForecast>203.35M</RevenueForecast>
<RevenueForecastValue>203350000</RevenueForecastValue>
<RevenuePrevious>199.84M</RevenuePrevious>
<RevenuePreviousValue>199840000</RevenuePreviousValue>
<RevenueValue>198880000</RevenueValue>
<Session>21</Session>
<Symbol>MDI:CN</Symbol>
</Markets.EarningsRevenuesItem>
<Markets.EarningsRevenuesItem>
<Actual>2.06</Actual>
<ActualValue>2.06</ActualValue>
<CalendarReference>2023-08-31</CalendarReference>
<Country>United States</Country>
<Currency>USD</Currency>
<Date>2023-09-27</Date>
<FiscalReference>Q1</FiscalReference>
<FiscalTag>FY2024Q1</FiscalTag>
<Forecast>2.04</Forecast>
<ForecastValue>2.04</ForecastValue>
<Importance>1</Importance>
<LastUpdate>2023-09-30T04:35:00</LastUpdate>
<MarketCapUSD>3053300000</MarketCapUSD>
<MarketRelease>before_open</MarketRelease>
<Name>Worthington Industries</Name>
<Previous>1.61</Previous>
<PreviousValue>1.61</PreviousValue>
<Revenue>1.2B</Revenue>
<RevenueForecast>1.23B</RevenueForecast>
<RevenueForecastValue>1230000000</RevenueForecastValue>
<RevenuePrevious>1.41B</RevenuePrevious>
<RevenuePreviousValue>1410000000</RevenuePreviousValue>
<RevenueValue>1200000000</RevenueValue>
<Session>13</Session>
<Symbol>WOR:US</Symbol>
</Markets.EarningsRevenuesItem>
</ArrayOfMarkets.EarningsRevenuesItem>

https://api.tradingeconomics.com/earnings-revenues/sector/{sector}?c={your_api_key}

Date	Symbol	Name	Actual	ActualValue	Forecast	ForecastValue	Previous	PreviousValue	Revenue	RevenueValue	RevenueForecast	RevenueForecastValue	RevenuePrevious	RevenuePreviousValue	MarketCapUSD	FiscalTag	FiscalReference	CalendarReference	Country	Currency	Importance	Session	MarketRelease	LastUpdate
2023-06-13	MDI:CN	Major Drilling	0.25	0.25	0.26	0.26	0.27	0.27	184.97M	184970000	192.04M	192040000	189.98M	189980000	586712712	FY2023Q4	Q4	2023-03-31	Canada	CAD	1	21	after_close	6/17/2023 8:10:00 AM
2023-06-22	CMC:US	Commercial Metals	2.02	2.02	1.83	1.83	2.61	2.61	2.34B	2340000000	2.33B	2330000000	2.52B	2520000000	6623500000	FY2023Q3	Q3	2023-03-31	United States	USD	1	13	before_open	6/22/2023 9:01:00 PM
2023-06-22	5714:JP	Dowa					219.54	219.54					209.93B	209930000000	1978619640	FY2024Q1	Q1	2023-06-30	Japan	JPY	1	4	after_close	4/21/2023 6:58:00 PM

By sector and date

Using Requests:

import requests
your_api_key = 'your_api_key'
url = f'https://api.tradingeconomics.com/earnings-revenues/sector/materials?d1=2016-01-01&d2=2023-12-31&c={your_api_key}'
data = requests.get(url).json()
print(data)

Or using our package:

te.getEarnings(sector = 'materials', initDate='2016-01-01', endDate='2023-12-31')

Using Requests:

const axios = require('axios');
(async () => {
    const your_api_key = 'your_api_key'
    const response = await axios.get(`https://api.tradingeconomics.com/earnings-revenues/sector/materials?d1=2016-01-01&d2=2023-12-31&c=${your_api_key}`)
    console.log(response.data)
})()

Or using our package:

data = te.getEarnings(sector = 'materials', start_date = '2016-01-01', end_date = '2023-12-31').then(function(data){
  console.log(data)     
});

Using Requests:

new HttpRequestMessage(new HttpMethod("GET"), "https://api.tradingeconomics.com/earnings-revenues/sector/materials?d1=2016-01-01&d2=2023-12-31&c=your_api_key");

https://api.tradingeconomics.com/earnings-revenues/sector/{sector}?c={your_api_key}&d1=yyyy-mm-dd&d2=yyyy-mm-dd&f=json

[
  {
    "Date": "2016-01-05",
    "Symbol": "CMC:US",
    "Name": "Commercial Metals",
    "Actual": "0.22",
    "ActualValue": 0.22,
    "Forecast": "0.23",
    "ForecastValue": 0.23,
    "Previous": "0.32",
    "PreviousValue": 0.32,
    "Revenue": "1.15B",
    "RevenueValue": 1150000000.0,
    "RevenueForecast": "",
    "RevenueForecastValue": null,
    "RevenuePrevious": "1.68B",
    "RevenuePreviousValue": 1680000000.0,
    "MarketCapUSD": 5770400000,
    "FiscalTag": "FY2016Q1",
    "FiscalReference": "Q1",
    "CalendarReference": "2015-11-30",
    "Country": "United States",
    "Currency": "USD",
    "Importance": 1,
    "Session": 13,
    "MarketRelease": "before_open",
    "LastUpdate": "2023-08-14T15:08:00"
  },
  {
    "Date": "2016-01-06",
    "Symbol": "RPM:US",
    "Name": "RPM International",
    "Actual": "0.62",
    "ActualValue": 0.62,
    "Forecast": "0.57",
    "ForecastValue": 0.57,
    "Previous": "0.53",
    "PreviousValue": 0.53,
    "Revenue": "1.16B",
    "RevenueValue": 1160000000.0,
    "RevenueForecast": "",
    "RevenueForecastValue": null,
    "RevenuePrevious": "1.07B",
    "RevenuePreviousValue": 1070000000.0000001,
    "MarketCapUSD": 12223000000,
    "FiscalTag": "FY2016Q2",
    "FiscalReference": "Q2",
    "CalendarReference": "2015-11-30",
    "Country": "United States",
    "Currency": "USD",
    "Importance": 2,
    "Session": 13,
    "MarketRelease": "before_open",
    "LastUpdate": "2023-08-14T17:28:00"
  },
  {
    "Date": "2016-01-07",
    "Symbol": "WDFC:US",
    "Name": "Wd 40",
    "Actual": "0.83",
    "ActualValue": 0.83,
    "Forecast": "0.79",
    "ForecastValue": 0.79,
    "Previous": "0.73",
    "PreviousValue": 0.73,
    "Revenue": "92.52M",
    "RevenueValue": 92520000.0,
    "RevenueForecast": "",
    "RevenueForecastValue": null,
    "RevenuePrevious": "96.35M",
    "RevenuePreviousValue": 96350000.0,
    "MarketCapUSD": 2739800000,
    "FiscalTag": "FY2016Q1",
    "FiscalReference": "Q1",
    "CalendarReference": "2015-11-30",
    "Country": "United States",
    "Currency": "USD",
    "Importance": 1,
    "Session": 21,
    "MarketRelease": "after_close",
    "LastUpdate": "2023-08-14T18:34:00"
  }
]

https://api.tradingeconomics.com/earnings-revenues/sector/{sector}?c={your_api_key}&d1=yyyy-mm-dd&d2=yyyy-mm-dd&f=csv

Date,Symbol,Name,Actual,ActualValue,Forecast,ForecastValue,Previous,PreviousValue,Revenue,RevenueValue,RevenueForecast,RevenueForecastValue,RevenuePrevious,RevenuePreviousValue,MarketCapUSD,FiscalTag,FiscalReference,CalendarReference,Country,Currency,Importance,Session,MarketRelease,LastUpdate
2016-01-05,CMC:US,Commercial Metals,0.22,0.22,0.23,0.23,0.32,0.32,1.15B,1150000000,,,1.68B,1680000000,5770400000,FY2016Q1,Q1,2015-11-30,United States,USD,1,13,before_open,8/14/2023 3:08:00 PM
2016-01-06,RPM:US,RPM International,0.62,0.62,0.57,0.57,0.53,0.53,1.16B,1160000000,,,1.07B,1070000000,12223000000,FY2016Q2,Q2,2015-11-30,United States,USD,2,13,before_open,8/14/2023 5:28:00 PM
2016-01-07,WDFC:US,Wd 40,0.83,0.83,0.79,0.79,0.73,0.73,92.52M,92520000,,,96.35M,96350000,2739800000,FY2016Q1,Q1,2015-11-30,United States,USD,1,21,after_close,8/14/2023 6:34:00 PM

https://api.tradingeconomics.com/earnings-revenues/sector/{sector}?c={your_api_key}&d1=yyyy-mm-dd&d2=yyyy-mm-dd&f=xml

<ArrayOfMarkets.EarningsRevenuesItem xmlns:i="http://www.w3.org/2001/XMLSchema-instance" xmlns="http://schemas.datacontract.org/2004/07/APILib.DB">
<Markets.EarningsRevenuesItem>
<Actual>0.22</Actual>
<ActualValue>0.22</ActualValue>
<CalendarReference>2015-11-30</CalendarReference>
<Country>United States</Country>
<Currency>USD</Currency>
<Date>2016-01-05</Date>
<FiscalReference>Q1</FiscalReference>
<FiscalTag>FY2016Q1</FiscalTag>
<Forecast>0.23</Forecast>
<ForecastValue>0.23</ForecastValue>
<Importance>1</Importance>
<LastUpdate>2023-08-14T15:08:00</LastUpdate>
<MarketCapUSD>5770400000</MarketCapUSD>
<MarketRelease>before_open</MarketRelease>
<Name>Commercial Metals</Name>
<Previous>0.32</Previous>
<PreviousValue>0.32</PreviousValue>
<Revenue>1.15B</Revenue>
<RevenueForecast/>
<RevenueForecastValue i:nil="true"/>
<RevenuePrevious>1.68B</RevenuePrevious>
<RevenuePreviousValue>1680000000</RevenuePreviousValue>
<RevenueValue>1150000000</RevenueValue>
<Session>13</Session>
<Symbol>CMC:US</Symbol>
</Markets.EarningsRevenuesItem>
<Markets.EarningsRevenuesItem>
<Actual>0.62</Actual>
<ActualValue>0.62</ActualValue>
<CalendarReference>2015-11-30</CalendarReference>
<Country>United States</Country>
<Currency>USD</Currency>
<Date>2016-01-06</Date>
<FiscalReference>Q2</FiscalReference>
<FiscalTag>FY2016Q2</FiscalTag>
<Forecast>0.57</Forecast>
<ForecastValue>0.57</ForecastValue>
<Importance>2</Importance>
<LastUpdate>2023-08-14T17:28:00</LastUpdate>
<MarketCapUSD>12223000000</MarketCapUSD>
<MarketRelease>before_open</MarketRelease>
<Name>RPM International</Name>
<Previous>0.53</Previous>
<PreviousValue>0.53</PreviousValue>
<Revenue>1.16B</Revenue>
<RevenueForecast/>
<RevenueForecastValue i:nil="true"/>
<RevenuePrevious>1.07B</RevenuePrevious>
<RevenuePreviousValue>1070000000.0000001</RevenuePreviousValue>
<RevenueValue>1160000000</RevenueValue>
<Session>13</Session>
<Symbol>RPM:US</Symbol>
</Markets.EarningsRevenuesItem>
<Markets.EarningsRevenuesItem>
<Actual>0.83</Actual>
<ActualValue>0.83</ActualValue>
<CalendarReference>2015-11-30</CalendarReference>
<Country>United States</Country>
<Currency>USD</Currency>
<Date>2016-01-07</Date>
<FiscalReference>Q1</FiscalReference>
<FiscalTag>FY2016Q1</FiscalTag>
<Forecast>0.79</Forecast>
<ForecastValue>0.79</ForecastValue>
<Importance>1</Importance>
<LastUpdate>2023-08-14T18:34:00</LastUpdate>
<MarketCapUSD>2739800000</MarketCapUSD>
<MarketRelease>after_close</MarketRelease>
<Name>Wd 40</Name>
<Previous>0.73</Previous>
<PreviousValue>0.73</PreviousValue>
<Revenue>92.52M</Revenue>
<RevenueForecast/>
<RevenueForecastValue i:nil="true"/>
<RevenuePrevious>96.35M</RevenuePrevious>
<RevenuePreviousValue>96350000</RevenuePreviousValue>
<RevenueValue>92520000</RevenueValue>
<Session>21</Session>
<Symbol>WDFC:US</Symbol>
</Markets.EarningsRevenuesItem>
</ArrayOfMarkets.EarningsRevenuesItem>

https://api.tradingeconomics.com/earnings-revenues/sector/{sector}?c={your_api_key}&d1=yyyy-mm-dd&d2=yyyy-mm-dd

Date	Symbol	Name	Actual	ActualValue	Previous	PreviousValue	MarketCapUSD	FiscalTag	FiscalReference	CalendarReference	Country	Currency	Importance	Session	MarketRelease	LastUpdate
2016-01-06	RPM:US	Rpm International	0.14	0.14	0.20	0.2	11812500000	FY2016Q3	Q3	2015-12-31	United States	USD	2	21	after_close	12/11/2022 6:55:00 PM
2016-01-07	SCHN:US	Schnitzer Steel Industries	-0.13	-0.13	-0.43	-0.43	870700000	FY2016Q2	Q2	2015-12-31	United States	USD	1	21	after_close	12/11/2022 6:42:00 PM
2016-01-07	WDFC:US	Wd 40	0.83	0.83	0.76	0.76	3152200000	FY2016Q2	Q2	2015-12-31	United States	USD	1	21	after_close	12/11/2022 3:10:00 PM

Response fields

Field	Type	Description	Example
Date	string	Earnings release date in UTC	“2023-03-15”
Symbol	string	Unique Trading Economics symbol identifying the company	“ADBE:US”
Name	string	Company name	“Adobe Systems”
Actual	string	Reported earnings per share (EPS)	“3.80”
ActualValue	number	Reported earnings per share (EPS) as a numeric value	3.80
Forecast	string	Average analyst EPS forecast	“3.68”
ForecastValue	number	Average analyst EPS forecast as a numeric value	3.68
Previous	string	Previously reported EPS	“3.37”
PreviousValue	number	Previously reported EPS as a numeric value	3.37
Revenue	string	Reported company revenue	“4.66B”
RevenueValue	number	Reported Revenue as a numeric value	4660000000
RevenueForecast	string	Average analyst Revenue forecast	“4.62B”
RevenueForecastValue	number	Average analyst Revenue forecast as a numeric value	4620000000
RevenuePrevious	string	Previously reported Revenue	“4.26B”
RevenuePreviousValue	number	Previously reported Revenue as a numeric value	4260000000
MarketCapUSD	number	Company market capitalization in US dollars	173177600000
FiscalTag	string	Fiscal year and quarter tag	“FY2023Q1”
FiscalReference	string	Fiscal quarter in simplified format	“Q1”
CalendarReference	string	Calendar date for the fiscal quarter end	“2022-12-31”
Country	string	Country where the company is based	“United States”
Currency	string	Reporting currency	“USD”
Importance	number	Indicator importance: 1 = low, 2 = medium, 3 = high	3
Session	number	Expected release hour in UTC	21
MarketRelease	string	Type of release: `after_close`, `before_open`, or `by_day_end`	“after_close”
LastUpdate	string	Timestamp of the latest data update in UTC	“2023-03-18T16:15:00”

Fields in ‘List of stock sectors’

Field	Type	Description	Example
Sector	string	Economic or market sector classification name	“Communication Services”