Barclays Bank (ATMP) Total Liabilities (2010 - 2026)
Barclays Bank's Total Liabilities was $1.8 trillion in Q2 2026, up 6.3% from $1.7 trillion a year earlier.
Analysis
Barclays Bank (ATMP) Total Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025, Total Liabilities at Barclays Bank came in at $1.59 trillion, up 9.5% from FY2024.
- Total Liabilities has now increased for four consecutive years, with a five-year compound annual growth rate of 3.0% (FY2020 to FY2025).
- In earlier years, Total Liabilities was $1.45 trillion in FY2024 (+1.6%), $1.43 trillion in FY2023 (+3.8%), $1.38 trillion in FY2022 (+1.7%) and $1.36 trillion in FY2021 (-1.0%).
- The Q2 2026 figure marks the highest quarterly Total Liabilities since Q1 2022.
- The best year-over-year quarter for Total Liabilities over five years was Q4 2025 (growth of 9.5%); the worst was Q4 2021 (a decline of 1.0%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 911.77 Bn | 911.77 Bn | - | 4,719.18 Bn |
| 2 | Bank Of America | 360.24 Bn | -2,015.87 Bn | - | 3,130.96 Bn |
| 3 | Hsbc Holdings | 311.40 Bn | -1,792.19 Bn | - | 3,248.55 Bn |
| 4 | Morgan Stanley | 292.00 Bn | -252.03 Bn | - | 1,573.71 Bn |
| 5 | Royal Bank Of Canada | 285.75 Bn | -544.30 Bn | - | 1,679.93 Bn |
| 6 | Goldman Sachs | 266.89 Bn | -3,476.56 Bn | - | 2,055.50 Bn |
| 7 | Wells Fargo & Company | 257.34 Bn | 257.34 Bn | - | 2,075.41 Bn |
| 8 | Mitsubishi Ufj Financial | 245.83 Bn | -95.56 Bn | 10.89 Bn | 2,571.74 Bn |
| 9 | American Express | 218.29 Bn | 17.77 Bn | - | 274.48 Bn |
| 10 | Barclays Bank | 9.47 Bn | -1,324.42 Bn | - | 1,802.21 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1,802.21 Bn |
| Dec 31, 2025 | 1,593.42 Bn |
| Jun 30, 2025 | 1,695.84 Bn |
| Dec 31, 2024 | 1,454.82 Bn |
| Jun 30, 2024 | 1,548.96 Bn |
| Dec 31, 2023 | 1,432.19 Bn |
| Jun 30, 2023 | 1,498.98 Bn |
| Dec 31, 2022 | 1,379.90 Bn |
| Jun 30, 2022 | 1,472.59 Bn |
| Mar 31, 2022 | 1,874.47 Bn |
| Dec 31, 2021 | 1,357.24 Bn |
| Jun 30, 2021 | 1,467.31 Bn |
| Dec 31, 2020 | 1,371.23 Bn |
| Jun 30, 2020 | 1,279.39 Bn |
| Dec 31, 2019 | 1,083.25 Bn |
| Jun 30, 2019 | 1,162.09 Bn |
| Dec 31, 2018 | 1,053.55 Bn |
| Jun 30, 2018 | 1,118.12 Bn |
| Dec 31, 2017 | 1,429.58 Bn |
| Jun 30, 2017 | 1,393.11 Bn |
API Access
Barclays Bank 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=ATMP&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "ticker": "ATMP", "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=ATMP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();