Barclays (BCS) Total Liabilities (2009 - 2026)
Barclays (BCS) posted Total Liabilities of $2.21 trillion for Q2 2026, up 9.0% from $2.03 trillion a year earlier and up 1.5% from the prior quarter.
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Analysis
Barclays (BCS) Total Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025, Barclays' Total Liabilities came in at $1.93 trillion, up 4.6% from FY2024.
- Annual Total Liabilities shows a five-year compound annual growth rate of 3.2% (FY2020 to FY2025).
- In prior years, Barclays' Total Liabilities was $1.85 trillion in FY2024 (+5.7%), $1.75 trillion in FY2023 (-2.2%), $1.79 trillion in FY2022 (-1.1%) and $1.81 trillion in FY2021 (+9.7%).
- The Q2 2026 figure stands as the highest quarterly Total Liabilities since Q2 2013.
- The strongest year-over-year quarter for Total Liabilities in the past five years was Q2 2026, with growth of 9.0%; the weakest was Q4 2022, with a decline of 4.4%.
- According to Business Quant data, Total Liabilities for the three prior quarters was $2.18 trillion (Q1 2026), $1.95 trillion (Q4 2025) and -$101.49 billion (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 902.19 Bn | 902.19 Bn | - | 4,640.47 Bn |
| 2 | Bank Of America | 385.63 Bn | -1,990.44 Bn | - | 3,198.10 Bn |
| 3 | Hsbc Holdings | 330.47 Bn | -1,498.69 Bn | - | 3,241.48 Bn |
| 4 | Morgan Stanley | 292.87 Bn | -216.23 Bn | - | 1,557.62 Bn |
| 5 | Royal Bank Of Canada | 274.66 Bn | -555.39 Bn | - | 1,679.93 Bn |
| 6 | Goldman Sachs | 270.16 Bn | -3,286.96 Bn | - | 2,004.97 Bn |
| 7 | Mitsubishi Ufj Financial | 255.81 Bn | -39.14 Bn | 10.89 Bn | 2,571.74 Bn |
| 8 | Wells Fargo & Company | 249.53 Bn | 249.53 Bn | - | 2,099.88 Bn |
| 9 | American Express | 209.56 Bn | 1.39 Bn | - | 273.92 Bn |
| 10 | Barclays | 81.39 Bn | -1,605.74 Bn | - | 2,188.29 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2,214.50 Bn |
| Mar 31, 2026 | 2,181.51 Bn |
| Dec 31, 2025 | 1,949.93 Bn |
| Sep 30, 2025 | 2,113.10 Bn |
| Jun 30, 2025 | 2,030.88 Bn |
| Mar 31, 2025 | 1,912.69 Bn |
| Dec 31, 2024 | 1,855.59 Bn |
| Sep 30, 2024 | 1,912.44 Bn |
| Jun 30, 2024 | 1,899.39 Bn |
| Mar 31, 2024 | 1,909.68 Bn |
| Dec 31, 2023 | 1,744.61 Bn |
| Sep 30, 2023 | 1,944.69 Bn |
| Jun 30, 2023 | 1,853.48 Bn |
| Mar 31, 2023 | 1,802.76 Bn |
| Dec 31, 2022 | 1,694.22 Bn |
| Sep 30, 2022 | 1,971.87 Bn |
| Jun 30, 2022 | 1,912.44 Bn |
| Mar 31, 2022 | 1,915.64 Bn |
| Dec 31, 2021 | 1,771.64 Bn |
| Sep 30, 2021 | 1,861.18 Bn |
API Access
Barclays Total Liabilities 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=total-liabilities&ticker=BCS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=BCS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();