Barclays (BCS) Total Non-Current Liabilities (2009 - 2026)
Barclays' Total Non-Current Liabilities came in at $2.2 trillion for Q2 2026, up 9.1% from $2.02 trillion a year earlier and up 1.7% from the prior quarter.
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Analysis
Barclays (BCS) Total Non-Current Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025, Barclays' Total Non-Current Liabilities was $1.92 trillion, up 4.8% from FY2024.
- Total Non-Current Liabilities carries a five-year compound annual growth rate of 3.2% (FY2020 to FY2025).
- Going back by year, Total Non-Current Liabilities was $1.83 trillion in FY2024 (+5.7%), $1.73 trillion in FY2023 (-2.1%), $1.77 trillion in FY2022 (-1.3%) and $1.79 trillion in FY2021 (+9.6%).
- The Q2 2026 figure represents the highest quarterly Total Non-Current Liabilities since Q2 2013.
- The fastest year-over-year change in Total Non-Current Liabilities over five years came in Q2 2026 (growth of 9.1%), and the weakest in Q4 2022 (a decline of 4.5%).
- Business Quant data shows BCS's Total Non-Current Liabilities at $2.16 trillion (Q1 2026), $1.94 trillion (Q4 2025) and -$117.39 billion (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 902.19 Bn | 902.19 Bn | - | 4,639.66 Bn |
| 2 | Bank Of America | 385.63 Bn | -1,990.44 Bn | - | 3,155.50 Bn |
| 3 | Hsbc Holdings | 330.47 Bn | -1,498.69 Bn | - | 3,235.87 Bn |
| 4 | Morgan Stanley | 292.87 Bn | -216.23 Bn | - | - |
| 5 | Royal Bank Of Canada | 274.66 Bn | -555.39 Bn | - | 1,595.35 Bn |
| 6 | Goldman Sachs | 270.16 Bn | -3,286.96 Bn | - | 1,977.24 Bn |
| 7 | Mitsubishi Ufj Financial | 255.81 Bn | -39.14 Bn | 10.89 Bn | 2,410.98 Bn |
| 8 | Wells Fargo & Company | 249.53 Bn | 249.53 Bn | - | - |
| 9 | American Express | 209.56 Bn | 1.39 Bn | - | 231.46 Bn |
| 10 | Barclays | 81.39 Bn | -1,605.74 Bn | - | 2,174.62 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2,200.67 Bn |
| Mar 31, 2026 | 2,164.94 Bn |
| Dec 31, 2025 | 1,936.48 Bn |
| Sep 30, 2025 | 2,097.20 Bn |
| Jun 30, 2025 | 2,017.28 Bn |
| Mar 31, 2025 | 1,897.00 Bn |
| Dec 31, 2024 | 1,839.88 Bn |
| Sep 30, 2024 | 1,892.21 Bn |
| Jun 30, 2024 | 1,882.76 Bn |
| Mar 31, 2024 | 1,884.83 Bn |
| Dec 31, 2023 | 1,729.70 Bn |
| Sep 30, 2023 | 1,926.79 Bn |
| Jun 30, 2023 | 1,839.46 Bn |
| Mar 31, 2023 | 1,786.87 Bn |
| Dec 31, 2022 | 1,678.05 Bn |
| Sep 30, 2022 | 1,952.62 Bn |
| Jun 30, 2022 | 1,897.91 Bn |
| Mar 31, 2022 | 1,899.51 Bn |
| Dec 31, 2021 | 1,757.47 Bn |
| Sep 30, 2021 | 1,844.76 Bn |
API Access
Barclays Total Non-Current 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-non-current-liabilities&ticker=BCS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-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-non-current-liabilities&ticker=BCS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();