Barclays Bank (DJP) Assets (2010 - 2026)
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Analysis
Barclays Bank (DJP) Assets (2010 - 2026) Analysis & Trends
Peer Set
Peer Comparison
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1,887.51 Bn |
| Dec 31, 2025 | 1,677.34 Bn |
| Jun 30, 2025 | 1,779.87 Bn |
| Dec 31, 2024 | 1,529.14 Bn |
| Jun 30, 2024 | 1,623.71 Bn |
| Dec 31, 2023 | 1,509.23 Bn |
| Jun 30, 2023 | 1,572.59 Bn |
| Dec 31, 2022 | 1,450.98 Bn |
| Jun 30, 2022 | 1,544.07 Bn |
| Mar 31, 2022 | 1,965.70 Bn |
| Dec 31, 2021 | 1,433.26 Bn |
| Jun 30, 2021 | 1,473.33 Bn |
| Dec 31, 2020 | 1,444.44 Bn |
| Jun 30, 2020 | 1,349.19 Bn |
| Dec 31, 2019 | 1,149.62 Bn |
| Jun 30, 2019 | 1,228.79 Bn |
| Dec 31, 2018 | 1,114.12 Bn |
| Jun 30, 2018 | 1,181.14 Bn |
| Dec 31, 2017 | 1,517.93 Bn |
| Jun 30, 2017 | 1,479.20 Bn |
API Access
Barclays Bank Assets 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=assets&ticker=DJP&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "assets", "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=assets&ticker=DJP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();