Barclays Bank (DJP) Provision for Credit Losses (2010 - 2026)
Barclays Bank's Provision for Credit Losses came in at $970.03 million for Q2 2026, compared with -$2.23 billion a year earlier.
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Analysis
Barclays Bank (DJP) Provision for Credit Losses (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Barclays Bank reported Provision for Credit Losses of $708.41 million; for FY2024, it came in at $2.56 million, down 99.9% from FY2023.
- Provision for Credit Losses carries a five-year compound annual growth rate of -72.5% (FY2019 to FY2024).
- Going back by year, Provision for Credit Losses was $2.01 billion in FY2023 (+40.1%), $1.44 billion in FY2022, -$737.47 million in FY2021 and $4.81 billion in FY2020 (+195.4%).
- The five-year range for quarterly Provision for Credit Losses is -$3.7 billion (Q2 2022) to $1.5 billion (Q4 2021).
Peer Set
Peer Comparison
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 970.03 Mn |
| Dec 31, 2025 | 1.02 Bn |
| Jun 30, 2025 | -2.23 Bn |
| Dec 31, 2024 | 944.66 Mn |
| Jun 30, 2024 | -2.00 Bn |
| Dec 31, 2023 | 1.01 Bn |
| Jun 30, 2023 | -1.78 Bn |
| Dec 31, 2022 | 1.01 Bn |
| Jun 30, 2022 | -3.70 Bn |
| Dec 31, 2021 | 1.50 Bn |
| Jun 30, 2021 | 1.33 Bn |
| Dec 31, 2020 | 1.60 Bn |
| Jun 30, 2020 | 1.35 Bn |
| Dec 31, 2019 | 1.22 Bn |
| Jun 30, 2019 | 1.10 Bn |
| Dec 31, 2018 | 1.45 Bn |
| Jun 30, 2018 | 1.33 Bn |
| Mar 31, 2018 | 301.86 Mn |
| Dec 31, 2017 | 4.38 Bn |
| Jun 30, 2017 | 5.02 Bn |
API Access
Barclays Bank Provision for Credit Losses 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=provision-for-credit-losses&ticker=DJP&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "provision-for-credit-losses", "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=provision-for-credit-losses&ticker=DJP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();