Barclays Bank (DJP) Cash & Equivalents (2010 - 2026)
Barclays Bank (DJP) reported Cash & Equivalents of $303.23 billion for Q2 2026, up 10.5% from $274.49 billion a year earlier.
Analysis
Barclays Bank (DJP) Cash & Equivalents (2010 - 2026) Analysis & Trends
At the end of FY2025, Barclays Bank posted Cash & Equivalents of $280.85 billion, up 24.1% from FY2024.
- Cash & Equivalents has a five-year compound annual growth rate of 3.5% (FY2020 to FY2025).
- By year, Cash & Equivalents came in at $226.34 billion in FY2024 (-6.3%), $241.55 billion in FY2023 (-8.9%), $265.06 billion in FY2022 (+5.7%) and $250.88 billion in FY2021 (+6.3%).
- The Q2 2026 figure ranks as the highest quarterly Cash & Equivalents since Q1 2022.
- Year over year, Cash & Equivalents gained in three of the last four quarters, with growth averaging 7.6%.
- The high point for year-over-year Cash & Equivalents in five years was Q4 2025 (growth of 24.1%); the low point was Q4 2023 (a decline of 8.9%).
Peer Set
Peer Comparison
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 303.23 Bn |
| Dec 31, 2025 | 280.85 Bn |
| Jun 30, 2025 | 274.49 Bn |
| Dec 31, 2024 | 226.34 Bn |
| Jun 30, 2024 | 268.25 Bn |
| Dec 31, 2023 | 241.55 Bn |
| Jun 30, 2023 | 266.98 Bn |
| Dec 31, 2022 | 265.06 Bn |
| Jun 30, 2022 | 268.96 Bn |
| Mar 31, 2022 | 348.07 Bn |
| Dec 31, 2021 | 250.88 Bn |
| Jun 30, 2021 | 226.75 Bn |
| Dec 31, 2020 | 235.98 Bn |
| Jun 30, 2020 | 191.79 Bn |
| Dec 31, 2019 | 182.68 Bn |
| Jun 30, 2019 | 156.73 Bn |
| Dec 31, 2018 | 190.39 Bn |
| Jun 30, 2018 | 159.26 Bn |
| Dec 31, 2017 | 229.89 Bn |
| Jun 30, 2017 | 190.05 Bn |
API Access
Barclays Bank Cash & Equivalents 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=cash-and-equivalents&ticker=DJP&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=DJP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();