Barclays (BCS) Total Liabilities (2009 - 2026)
Barclays (BCS) posted Total Liabilities of $2.2 trillion for Q3 2026, up 4.4% from $2.1 trillion a year earlier and up 0.4% 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 $1.97 trillion, up 8.9% from FY2024.
- Annual Total Liabilities has increased for three consecutive years, with a five-year compound annual growth rate of 2.4% (FY2020 to FY2025).
- In prior years, Barclays' Total Liabilities was $1.81 trillion in FY2024 (+1.4%), $1.79 trillion in FY2023 (+2.8%), $1.74 trillion in FY2022 (-1.8%) and $1.77 trillion in FY2021 (+1.4%).
- The Q3 2026 figure stands as the highest quarterly Total Liabilities since Q2 2013.
- On a year-over-year basis, Total Liabilities has increased in each of the last 14 quarters, with growth averaging 6.0% over the last eight quarters.
- The strongest year-over-year quarter for Total Liabilities in the past five years was Q2 2025, with growth of 9.8%; the weakest was Q1 2023, with a decline of 2.1%.
- According to Business Quant data, Total Liabilities for the three prior quarters was $2.19 trillion (Q2 2026), $2.13 trillion (Q1 2026) and $1.97 trillion (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 918.86 Bn | 918.86 Bn | - | 4,719.18 Bn |
| 2 | Bank Of America | 355.02 Bn | -2,021.04 Bn | - | 3,198.10 Bn |
| 3 | Hsbc Holdings | 299.60 Bn | -1,803.99 Bn | - | 3,248.55 Bn |
| 4 | Morgan Stanley | 288.82 Bn | 288.82 Bn | - | - |
| 5 | Royal Bank Of Canada | 288.46 Bn | -541.58 Bn | - | 1,679.93 Bn |
| 6 | Goldman Sachs | 269.80 Bn | 269.80 Bn | - | 2,057.00 Bn |
| 7 | Wells Fargo & Company | 258.84 Bn | 258.84 Bn | - | 2,075.41 Bn |
| 8 | Mitsubishi Ufj Financial | 244.75 Bn | -96.64 Bn | 10.89 Bn | 2,571.74 Bn |
| 9 | American Express | 221.16 Bn | 20.64 Bn | - | 274.48 Bn |
| 10 | Barclays | 79.79 Bn | -1,629.13 Bn | - | 2,196.67 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 2,196.67 Bn |
| Jun 30, 2026 | 2,188.29 Bn |
| Mar 31, 2026 | 2,131.51 Bn |
| Dec 31, 2025 | 1,974.85 Bn |
| Sep 30, 2025 | 2,104.28 Bn |
| Jun 30, 2025 | 2,088.61 Bn |
| Mar 31, 2025 | 1,964.82 Bn |
| Dec 31, 2024 | 1,814.25 Bn |
| Sep 30, 2024 | 1,969.89 Bn |
| Jun 30, 2024 | 1,902.93 Bn |
| Mar 31, 2024 | 1,900.81 Bn |
| Dec 31, 2023 | 1,789.93 Bn |
| Sep 30, 2023 | 1,873.76 Bn |
| Jun 30, 2023 | 1,868.44 Bn |
| Mar 31, 2023 | 1,837.20 Bn |
| Dec 31, 2022 | 1,741.46 Bn |
| Sep 30, 2022 | 1,868.80 Bn |
| Jun 30, 2022 | 1,842.38 Bn |
| Mar 31, 2022 | 1,875.75 Bn |
| Dec 31, 2021 | 1,774.04 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();