Financials

By category

Using Requests:

import requests
api_key = 'YOUR_API_KEY'
url = f'https://api.tradingeconomics.com/financials/category/assets?c={api_key}'
data = requests.get(url).json()
print(data)

Or using our package:

import tradingeconomics as te
te.login('your_api_key')
te.getFinancialsDataByCategory(category = 'assets')

Using Requests:

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

Or using our package:

const te = require('tradingeconomics');
te.login('your_api_key');
data = te.getFinancialsDataByCategory(category = 'assets').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/financials/category/assets?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.

/financials/category/{category}

SymbolDatelastvalue1date1value2date2value3date3value4date4unitcurrencyfrequencystockfinancialSymbol
005380:ks:assets3/31/2023 12:00:00 AM264363574000000.0000264363574000000.00003/31/2023 12:00:00 AM255742462000000.000012/31/2022 12:00:00 AM267766826000000.00009/30/2022 12:00:00 AM251406813000000.00006/30/2022 12:00:00 AME+00quarterly005380:ksassets
068270:ks:assets12/31/2022 12:00:00 AM5891652311250.00003/31/2023 12:00:00 AM5891652311250.000012/31/2022 12:00:00 AM5901342280130.00009/30/2022 12:00:00 AM5687913875520.00006/30/2022 12:00:00 AMKRWquarterly068270:ksassets
0981:hk:assets3/31/2023 12:00:00 AM45015730000.000045015730000.00003/31/2023 12:00:00 AM43807784000.000012/31/2022 12:00:00 AM41771386000.00009/30/2022 12:00:00 AM40475723000.00006/30/2022 12:00:00 AMUSDquarterly0981:hkassets

/financials/category/{category}?f=json

[{"Symbol":"005380:ks:assets","Date":"2023-03-31T00:00:00","last":264363574000000.0000,"value1":null,"date1":"2023-06-30T00:00:00","value2":264363574000000.0000,"date2":"2023-03-31T00:00:00","value3":255742462000000.0000,"date3":"2022-12-31T00:00:00","value4":267766826000000.0000,"date4":"2022-09-30T00:00:00","unit":"E+00","currency":"KRW","frequency":"quarterly","stock":"005380:ks","financialSymbol":"assets"},{"Symbol":"068270:ks:assets","Date":"2023-06-30T00:00:00","last":6287885319530.0000,"value1":6287885319530.0000,"date1":"2023-06-30T00:00:00","value2":6126910181370.0000,"date2":"2023-03-31T00:00:00","value3":5891652311250.0000,"date3":"2022-12-31T00:00:00","value4":5901342280130.0000,"date4":"2022-09-30T00:00:00","unit":null,"currency":"KRW","frequency":"quarterly","stock":"068270:ks","financialSymbol":"assets"},{"Symbol":"0981:hk:assets","Date":"2023-06-30T00:00:00","last":45844378000.0000,"value1":45844378000.0000,"date1":"2023-06-30T00:00:00","value2":45015730000.0000,"date2":"2023-03-31T00:00:00","value3":43807784000.0000,"date3":"2022-12-31T00:00:00","value4":41771386000.0000,"date4":"2022-09-30T00:00:00","unit":null,"currency":"USD","frequency":"quarterly","stock":"0981:hk","financialSymbol":"assets"}]

/financials/category/{category}?f=csv

005380:ks:assets,3/31/2023 12:00:00 AM,264363574000000.0000,,6/30/2023 12:00:00 AM,264363574000000.0000,3/31/2023 12:00:00 AM,255742462000000.0000,12/31/2022 12:00:00 AM,267766826000000.0000,9/30/2022 12:00:00 AM,E+00,KRW,quarterly,005380:ks,assets
068270:ks:assets,6/30/2023 12:00:00 AM,6287885319530.0000,6287885319530.0000,6/30/2023 12:00:00 AM,6126910181370.0000,3/31/2023 12:00:00 AM,5891652311250.0000,12/31/2022 12:00:00 AM,5901342280130.0000,9/30/2022 12:00:00 AM,,KRW,quarterly,068270:ks,assets
0981:hk:assets,6/30/2023 12:00:00 AM,45844378000.0000,45844378000.0000,6/30/2023 12:00:00 AM,45015730000.0000,3/31/2023 12:00:00 AM,43807784000.0000,12/31/2022 12:00:00 AM,41771386000.0000,9/30/2022 12:00:00 AM,,USD,quarterly,0981:hk,assets

/financials/category/{category}?f=xml

<ArrayOfanyType xmlns:i="http://www.w3.org/2001/XMLSchema-instance" xmlns="http://schemas.microsoft.com/2003/10/Serialization/Arrays">
<anyType xmlns:d2p1="http://schemas.datacontract.org/2004/07/APILib.DB" i:type="d2p1:Markets.FinancialItem">
<d2p1:Date>2023-03-31T00:00:00</d2p1:Date>
<d2p1:Symbol>005380:ks:assets</d2p1:Symbol>
<d2p1:currency>KRW</d2p1:currency>
<d2p1:date1>2023-06-30T00:00:00</d2p1:date1>
<d2p1:date2>2023-03-31T00:00:00</d2p1:date2>
<d2p1:date3>2022-12-31T00:00:00</d2p1:date3>
<d2p1:date4>2022-09-30T00:00:00</d2p1:date4>
<d2p1:financialSymbol>assets</d2p1:financialSymbol>
<d2p1:frequency>quarterly</d2p1:frequency>
<d2p1:last>264363574000000.0000</d2p1:last>
<d2p1:stock>005380:ks</d2p1:stock>
<d2p1:unit>E+00</d2p1:unit>
<d2p1:value1 i:nil="true"/>
<d2p1:value2>264363574000000.0000</d2p1:value2>
<d2p1:value3>255742462000000.0000</d2p1:value3>
<d2p1:value4>267766826000000.0000</d2p1:value4>
</anyType>
<anyType xmlns:d2p1="http://schemas.datacontract.org/2004/07/APILib.DB" i:type="d2p1:Markets.FinancialItem">
<d2p1:Date>2023-06-30T00:00:00</d2p1:Date>
<d2p1:Symbol>068270:ks:assets</d2p1:Symbol>
<d2p1:currency>KRW</d2p1:currency>
<d2p1:date1>2023-06-30T00:00:00</d2p1:date1>
<d2p1:date2>2023-03-31T00:00:00</d2p1:date2>
<d2p1:date3>2022-12-31T00:00:00</d2p1:date3>
<d2p1:date4>2022-09-30T00:00:00</d2p1:date4>
<d2p1:financialSymbol>assets</d2p1:financialSymbol>
<d2p1:frequency>quarterly</d2p1:frequency>
<d2p1:last>6287885319530.0000</d2p1:last>
<d2p1:stock>068270:ks</d2p1:stock>
<d2p1:unit i:nil="true"/>
<d2p1:value1>6287885319530.0000</d2p1:value1>
<d2p1:value2>6126910181370.0000</d2p1:value2>
<d2p1:value3>5891652311250.0000</d2p1:value3>
<d2p1:value4>5901342280130.0000</d2p1:value4>
</anyType>
<anyType xmlns:d2p1="http://schemas.datacontract.org/2004/07/APILib.DB" i:type="d2p1:Markets.FinancialItem">
<d2p1:Date>2023-06-30T00:00:00</d2p1:Date>
<d2p1:Symbol>0981:hk:assets</d2p1:Symbol>
<d2p1:currency>USD</d2p1:currency>
<d2p1:date1>2023-06-30T00:00:00</d2p1:date1>
<d2p1:date2>2023-03-31T00:00:00</d2p1:date2>
<d2p1:date3>2022-12-31T00:00:00</d2p1:date3>
<d2p1:date4>2022-09-30T00:00:00</d2p1:date4>
<d2p1:financialSymbol>assets</d2p1:financialSymbol>
<d2p1:frequency>quarterly</d2p1:frequency>
<d2p1:last>45844378000.0000</d2p1:last>
<d2p1:stock>0981:hk</d2p1:stock>
<d2p1:unit i:nil="true"/>
<d2p1:value1>45844378000.0000</d2p1:value1>
<d2p1:value2>45015730000.0000</d2p1:value2>
<d2p1:value3>43807784000.0000</d2p1:value3>
<d2p1:value4>41771386000.0000</d2p1:value4>
</anyType>
</ArrayOfanyType>

By symbol

List all financials data by stock symbol

Using Requests:

import requests
api_key = 'YOUR_API_KEY'
url = f'https://api.tradingeconomics.com/financials/symbol/aapl:us?c={api_key}'
data = requests.get(url).json()
print(data)

Or using our package:

te.getFinancialsData(symbol = 'aapl:us')

Using Requests:

const axios = require('axios');
(async () => {
    const api_key = 'YOUR_API_KEY'
    const response = await axios.get(`https://api.tradingeconomics.com/financials/symbol/aapl:us?c=${api_key}`)
    console.log(response.data)
})()

Or using our package:

data = te.getFinancialsData(symbol = 'aapl:us').then(function(data){
  console.log(data)     
});

Using Requests:

new HttpRequestMessage(new HttpMethod("GET"), "https://api.tradingeconomics.com/financials/symbol/aapl:us?c=your_api_key");

/financials/symbol/{symbol}

SymbolDatelastvalue1date1value2date2value3date3value4date4unitcurrencyfrequencystockfinancialSymbol
aapl:us:assets3/31/2023 12:00:00 AM332160.0000332160.00003/31/2023 12:00:00 AM346747.000012/31/2022 12:00:00 AM352755.00009/30/2022 12:00:00 AM336309.00006/30/2022 12:00:00 AME+06USDquarterlyaapl:usassets
aapl:us:cash-and-equivalent3/31/2023 12:00:00 AM4637.00004637.00003/31/2023 12:00:00 AM2627.000012/31/2022 12:00:00 AM5100.00009/30/2022 12:00:00 AM14650.00006/30/2022 12:00:00 AME+06USDquarterlyaapl:uscash-and-equivalent
aapl:us:cost-of-sales3/31/2023 12:00:00 AM52860.000052860.00003/31/2023 12:00:00 AM66822.000012/31/2022 12:00:00 AM52051.00009/30/2022 12:00:00 AM47074.00006/30/2022 12:00:00 AME+06USDquarterlyaapl:uscost-of-sales

/financials/symbol/{symbol}?f=json

[{"Symbol":"aapl:us:assets","Date":"2023-06-30T00:00:00","last":335038.0000,"value1":335038.0000,"date1":"2023-06-30T00:00:00","value2":332160.0000,"date2":"2023-03-31T00:00:00","value3":346747.0000,"date3":"2022-12-31T00:00:00","value4":352755.0000,"date4":"2022-09-30T00:00:00","unit":"E+06","currency":"USD","frequency":"quarterly","stock":"aapl:us","financialSymbol":"assets"},{"Symbol":"aapl:us:cash-and-equivalent","Date":"2023-06-30T00:00:00","last":3071.0000,"value1":3071.0000,"date1":"2023-06-30T00:00:00","value2":4637.0000,"date2":"2023-03-31T00:00:00","value3":2627.0000,"date3":"2022-12-31T00:00:00","value4":5100.0000,"date4":"2022-09-30T00:00:00","unit":"E+06","currency":"USD","frequency":"quarterly","stock":"aapl:us","financialSymbol":"cash-and-equivalent"},{"Symbol":"aapl:us:cost-of-sales","Date":"2023-06-30T00:00:00","last":45384.0000,"value1":45384.0000,"date1":"2023-06-30T00:00:00","value2":52860.0000,"date2":"2023-03-31T00:00:00","value3":66822.0000,"date3":"2022-12-31T00:00:00","value4":52051.0000,"date4":"2022-09-30T00:00:00","unit":"E+06","currency":"USD","frequency":"quarterly","stock":"aapl:us","financialSymbol":"cost-of-sales"}]

/financials/symbol/{symbol}?f=csv

aapl:us:assets,6/30/2023 12:00:00 AM,335038.0000,335038.0000,6/30/2023 12:00:00 AM,332160.0000,3/31/2023 12:00:00 AM,346747.0000,12/31/2022 12:00:00 AM,352755.0000,9/30/2022 12:00:00 AM,E+06,USD,quarterly,aapl:us,assets
aapl:us:cash-and-equivalent,6/30/2023 12:00:00 AM,3071.0000,3071.0000,6/30/2023 12:00:00 AM,4637.0000,3/31/2023 12:00:00 AM,2627.0000,12/31/2022 12:00:00 AM,5100.0000,9/30/2022 12:00:00 AM,E+06,USD,quarterly,aapl:us,cash-and-equivalent
aapl:us:cost-of-sales,6/30/2023 12:00:00 AM,45384.0000,45384.0000,6/30/2023 12:00:00 AM,52860.0000,3/31/2023 12:00:00 AM,66822.0000,12/31/2022 12:00:00 AM,52051.0000,9/30/2022 12:00:00 AM,E+06,USD,quarterly,aapl:us,cost-of-sales

/financials/symbol/{symbol}?f=xml

<ArrayOfanyType xmlns:i="http://www.w3.org/2001/XMLSchema-instance" xmlns="http://schemas.microsoft.com/2003/10/Serialization/Arrays">
<anyType xmlns:d2p1="http://schemas.datacontract.org/2004/07/APILib.DB" i:type="d2p1:Markets.FinancialItem">
<d2p1:Date>2023-06-30T00:00:00</d2p1:Date>
<d2p1:Symbol>aapl:us:assets</d2p1:Symbol>
<d2p1:currency>USD</d2p1:currency>
<d2p1:date1>2023-06-30T00:00:00</d2p1:date1>
<d2p1:date2>2023-03-31T00:00:00</d2p1:date2>
<d2p1:date3>2022-12-31T00:00:00</d2p1:date3>
<d2p1:date4>2022-09-30T00:00:00</d2p1:date4>
<d2p1:financialSymbol>assets</d2p1:financialSymbol>
<d2p1:frequency>quarterly</d2p1:frequency>
<d2p1:last>335038.0000</d2p1:last>
<d2p1:stock>aapl:us</d2p1:stock>
<d2p1:unit>E+06</d2p1:unit>
<d2p1:value1>335038.0000</d2p1:value1>
<d2p1:value2>332160.0000</d2p1:value2>
<d2p1:value3>346747.0000</d2p1:value3>
<d2p1:value4>352755.0000</d2p1:value4>
</anyType>
<anyType xmlns:d2p1="http://schemas.datacontract.org/2004/07/APILib.DB" i:type="d2p1:Markets.FinancialItem">
<d2p1:Date>2023-06-30T00:00:00</d2p1:Date>
<d2p1:Symbol>aapl:us:cash-and-equivalent</d2p1:Symbol>
<d2p1:currency>USD</d2p1:currency>
<d2p1:date1>2023-06-30T00:00:00</d2p1:date1>
<d2p1:date2>2023-03-31T00:00:00</d2p1:date2>
<d2p1:date3>2022-12-31T00:00:00</d2p1:date3>
<d2p1:date4>2022-09-30T00:00:00</d2p1:date4>
<d2p1:financialSymbol>cash-and-equivalent</d2p1:financialSymbol>
<d2p1:frequency>quarterly</d2p1:frequency>
<d2p1:last>3071.0000</d2p1:last>
<d2p1:stock>aapl:us</d2p1:stock>
<d2p1:unit>E+06</d2p1:unit>
<d2p1:value1>3071.0000</d2p1:value1>
<d2p1:value2>4637.0000</d2p1:value2>
<d2p1:value3>2627.0000</d2p1:value3>
<d2p1:value4>5100.0000</d2p1:value4>
</anyType>
<anyType xmlns:d2p1="http://schemas.datacontract.org/2004/07/APILib.DB" i:type="d2p1:Markets.FinancialItem">
<d2p1:Date>2023-06-30T00:00:00</d2p1:Date>
<d2p1:Symbol>aapl:us:cost-of-sales</d2p1:Symbol>
<d2p1:currency>USD</d2p1:currency>
<d2p1:date1>2023-06-30T00:00:00</d2p1:date1>
<d2p1:date2>2023-03-31T00:00:00</d2p1:date2>
<d2p1:date3>2022-12-31T00:00:00</d2p1:date3>
<d2p1:date4>2022-09-30T00:00:00</d2p1:date4>
<d2p1:financialSymbol>cost-of-sales</d2p1:financialSymbol>
<d2p1:frequency>quarterly</d2p1:frequency>
<d2p1:last>45384.0000</d2p1:last>
<d2p1:stock>aapl:us</d2p1:stock>
<d2p1:unit>E+06</d2p1:unit>
<d2p1:value1>45384.0000</d2p1:value1>
<d2p1:value2>52860.0000</d2p1:value2>
<d2p1:value3>66822.0000</d2p1:value3>
<d2p1:value4>52051.0000</d2p1:value4>
</anyType>
</ArrayOfanyType>

Response fields

FieldTypeDescriptionExample
SymbolstringUnique symbol used by Trading Economics“aapl:us:assets”
DatestringTrading Economics date time in UTC“2022-12-31T00:00:00”
LastnumberLastest value46747.0000
Value1numberValue for the current quarter346747.0000
Date1stringDate for the current quarter“2022-12-31T00:00:00”
Value2numberValue for the quarter prior to Value1352755.0000
Date2stringDate for the quarter prior to Date1“2022-09-30T00:00:00”
Value3numberValue for the quarter prior to Value2336309.0000
Date3stringDate for the quarter prior to Date2“2022-06-30T00:00:00”
Value4numberValue for the quarter prior to Value3350662.0000
Date4stringDate for the quarter prior to Date3“2022-03-31T00:00:00”
UnitstringUnit“E+06”
CurrencystringCurrency“USD”
FrequencystringFrequency of the financial“quarterly”
StockstringStock unique symbol used by Trading Economics“aapl:us”
FinancialSymbolstringFinancials category“assets”