Barclays Bank (DJP) EBT (2014 - 2022)
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Analysis
Barclays Bank (DJP) EBT (2014 - 2022) Analysis & Trends
Peer Set
Peer Comparison
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2022 | 467.21 Mn |
| Mar 31, 2022 | 3.00 Bn |
| Jun 30, 2021 | 1.20 Bn |
| Mar 31, 2021 | 3.31 Bn |
| Jun 30, 2018 | 863.73 Mn |
| Mar 31, 2018 | 126.58 Mn |
| Dec 31, 2016 | -3.73 Bn |
| Sep 30, 2016 | 1.22 Bn |
| Jun 30, 2016 | 3.39 Bn |
| Mar 31, 2016 | 2.30 Bn |
| Dec 31, 2015 | -1.48 Bn |
| Sep 30, 2015 | 2.13 Bn |
| Jun 30, 2015 | 3.03 Bn |
| Mar 31, 2015 | 2.07 Bn |
| Dec 31, 2014 | -126.75 Mn |
API Access
Barclays Bank EBT API
Pull this series into your own models, spreadsheets and apps with the Business Quant
Historical Metrics API. The request below matches the chart above — change the
frequency, period or values and it follows. Swap YOUR_API_KEY for your own key.
https://data.businessquant.com/historic?slug=ebt&ticker=DJP&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebt", "ticker": "DJP", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=ebt&ticker=DJP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();