Barclays Bank (DJP) Long-Term Investments (2010 - 2026)
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Analysis
Barclays Bank (DJP) Long-Term Investments (2010 - 2026) Analysis & Trends
Peer Set
Peer Comparison
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 19.88 Mn |
| Dec 31, 2025 | 18.85 Mn |
| Jun 30, 2025 | 20.58 Mn |
| Dec 31, 2024 | 17.57 Mn |
| Jun 30, 2024 | 18.97 Mn |
| Dec 31, 2023 | 28.01 Mn |
| Jun 30, 2023 | 34.06 Mn |
| Dec 31, 2022 | 31.35 Mn |
| Jun 30, 2022 | 29.12 Mn |
| Mar 31, 2022 | 1.30 Bn |
| Dec 31, 2021 | 32.40 Mn |
| Jun 30, 2021 | 30.45 Mn |
| Dec 31, 2020 | 32.71 Mn |
| Jun 30, 2020 | 36.93 Mn |
| Dec 31, 2019 | 386.83 Mn |
| Jun 30, 2019 | 927.99 Mn |
| Dec 31, 2018 | 967.25 Mn |
| Jun 30, 2018 | 932.26 Mn |
| Dec 31, 2017 | 965.05 Mn |
| Jun 30, 2017 | 930.30 Mn |
API Access
Barclays Bank Long-Term Investments 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=long-term-investments&ticker=DJP&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-investments", "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=long-term-investments&ticker=DJP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();