Barclays (BCS) Total Current Liabilities (2009 - 2026)
Barclays' Total Current Liabilities was $2.21 trillion in 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 Current Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025, Total Current Liabilities at Barclays came in at $1.93 trillion, up 4.6% from FY2024.
- Total Current Liabilities shows a five-year compound annual growth rate of 3.3% (FY2020 to FY2025).
- In earlier years, Total Current 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 (+9.8%).
- The Q2 2026 figure marks the highest quarterly Total Current Liabilities since Q2 2013.
- Compared with a year earlier, Total Current Liabilities has increased for seven straight quarters, with growth averaging 6.3% over the last eight quarters.
- The best year-over-year quarter for Total Current Liabilities over five years was Q1 2026 (growth of 14.1%); the worst was Q1 2023 (a decline of 6.8%).
- Per Business Quant data, BCS's Total Current Liabilities in the three quarters before Q2 2026 was $2.18 trillion (Q1 2026), $1.95 trillion (Q4 2025) and $2.09 trillion (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 902.19 Bn | 902.19 Bn | - | - |
| 2 | Bank Of America | 385.63 Bn | -1,990.44 Bn | - | - |
| 3 | Hsbc Holdings | 330.47 Bn | -1,498.69 Bn | - | - |
| 4 | Morgan Stanley | 292.87 Bn | -216.23 Bn | - | - |
| 5 | Royal Bank Of Canada | 274.66 Bn | -555.39 Bn | - | 1,679.89 Bn |
| 6 | Goldman Sachs | 270.16 Bn | -3,286.96 Bn | - | - |
| 7 | Mitsubishi Ufj Financial | 255.81 Bn | -39.14 Bn | 10.89 Bn | 2,530.41 Bn |
| 8 | Wells Fargo & Company | 249.53 Bn | 249.53 Bn | - | - |
| 9 | American Express | 209.56 Bn | 1.39 Bn | - | - |
| 10 | Barclays | 81.39 Bn | -1,605.74 Bn | - | 2,187.63 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2,214.50 Bn |
| Mar 31, 2026 | 2,180.90 Bn |
| Dec 31, 2025 | 1,949.93 Bn |
| Sep 30, 2025 | 2,094.63 Bn |
| Jun 30, 2025 | 2,030.88 Bn |
| Mar 31, 2025 | 1,911.86 Bn |
| Dec 31, 2024 | 1,855.59 Bn |
| Sep 30, 2024 | 1,896.33 Bn |
| Jun 30, 2024 | 1,899.39 Bn |
| Mar 31, 2024 | 1,908.84 Bn |
| Dec 31, 2023 | 1,744.59 Bn |
| Sep 30, 2023 | 1,928.84 Bn |
| Jun 30, 2023 | 1,853.48 Bn |
| Mar 31, 2023 | 1,784.85 Bn |
| Dec 31, 2022 | 1,694.22 Bn |
| Sep 30, 2022 | 1,955.09 Bn |
| Jun 30, 2022 | 1,912.44 Bn |
| Mar 31, 2022 | 1,914.34 Bn |
| Dec 31, 2021 | 1,771.61 Bn |
| Sep 30, 2021 | 1,842.82 Bn |
API Access
Barclays Total 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-current-liabilities&ticker=BCS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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-current-liabilities&ticker=BCS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();