Barclays (BCS) Provision for Credit Losses (2009 - 2026)
Barclays' Provision for Credit Losses was $2.26 billion in Q2 2026, up 23.9% from $1.82 billion a year earlier.
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Analysis
Barclays (BCS) Provision for Credit Losses (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Barclays' Provision for Credit Losses was $8.06 billion through Jun 30, 2026, up 12.1% year-over-year; for FY2025, it came in at $2.64 million, down 99.8% from FY2024.
- Provision for Credit Losses shows a five-year compound annual growth rate of -79.2% (FY2020 to FY2025).
- In earlier years, Provision for Credit Losses was $1.59 billion in FY2024 (-34.4%), $2.43 billion in FY2023 (+32.4%), $1.84 billion in FY2022 and -$1.23 billion in FY2021.
- The Q2 2026 figure marks the highest quarterly Provision for Credit Losses since Q2 2022.
- Compared with a year earlier, Provision for Credit Losses was higher in three of the last four quarters, with growth averaging 12.6%.
- The best year-over-year quarter for Provision for Credit Losses over five years was Q2 2022 (growth of 74.2%); the worst was Q2 2023 (a decline of 58.7%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Provisions (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 935.44 Bn | 935.44 Bn | - | 2.74 Bn |
| 2 | Banco Santander Chile | 415.59 Bn | -7,101.51 Bn | - | 838.45 Bn |
| 3 | Bank Of America | 357.35 Bn | -2,018.76 Bn | - | 1.24 Bn |
| 4 | Hsbc Holdings | 307.23 Bn | -1,795.96 Bn | - | - |
| 5 | Morgan Stanley | 304.94 Bn | -204.15 Bn | - | 110.00 Mn |
| 6 | Royal Bank Of Canada | 293.80 Bn | -536.20 Bn | - | 717.20 Mn |
| 7 | Goldman Sachs | 267.88 Bn | -3,475.57 Bn | - | 368.00 Mn |
| 8 | Wells Fargo & Company | 262.48 Bn | 264.60 Bn | - | 1.03 Bn |
| 9 | Mitsubishi Ufj Financial | 260.85 Bn | -71.38 Bn | 10.89 Bn | - |
| 10 | Barclays | 82.13 Bn | -1,626.19 Bn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.26 Bn |
| Dec 31, 2025 | 2.21 Bn |
| Jun 30, 2025 | 1.82 Bn |
| Dec 31, 2024 | 1.78 Bn |
| Jun 30, 2024 | 1.63 Bn |
| Dec 31, 2023 | 1.97 Bn |
| Jun 30, 2023 | 1.78 Bn |
| Dec 31, 2022 | 1.81 Bn |
| Jun 30, 2022 | 4.31 Bn |
| Dec 31, 2021 | 2.57 Bn |
| Jun 30, 2021 | 2.48 Bn |
| Dec 31, 2020 | 3.04 Bn |
| Jun 30, 2020 | 3.24 Bn |
| Dec 31, 2019 | 3.55 Bn |
| Jun 30, 2019 | 2.29 Bn |
| Dec 31, 2018 | 3.41 Bn |
| Jun 30, 2018 | 4.48 Bn |
| Dec 31, 2017 | 4.70 Bn |
| Jun 30, 2017 | 5.02 Bn |
| Dec 31, 2016 | 5.14 Bn |
API Access
Barclays 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=BCS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "provision-for-credit-losses", "ticker": "BCS", "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=BCS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();