Barclays Bank (ATMP) Assets (2009 - 2026)
Barclays Bank (ATMP) posted Assets of $1910.7 billion for Q2 2026, up 15.33% on a QoQ basis from $1656.7 billion in Q4 2025, and up 10.4% year-over-year from $1730.7 billion in Q2 2025.
Barclays Bank (ATMP) Assets (2009 - 2026) Analysis & Trends
Barclays Bank has reported Assets for 18 years, with the latest figure at $1910.7 billion in Q2 2026.
- On a quarterly basis, Assets rose 10.4% year-over-year to $1910.7 billion in Q2 2026; TTM through Jun 2026 was $1910.7 billion, a 10.4% increase from a year earlier, with the FY2025 full-year figure at $1656.7 billion, up 5.93% from the prior year.
- Assets was $1910.7 billion for Q2 2026 at Barclays Bank, up from $1656.7 billion in the prior quarter.
- The five-year high for Assets was $2007.5 billion in Q1 2022, with the low at $1411.6 billion in Q4 2022.
- Average Assets over 5 years is $1653.6 billion, with a median of $1611.7 billion recorded in 2022.
- The sharpest annual moves came in 2023 and 2026: Assets fell 2.67% in 2023, then rose 10.4% in 2026.
- Over 5 years, Assets stood at $1411.6 billion in 2022, then rose by 4.21% to $1471.0 billion in 2023, then increased by 6.32% to $1564.0 billion in 2024, then advanced by 5.93% to $1656.7 billion in 2025, then advanced by 15.33% to $1910.7 billion in 2026.
- The last three Assets figures came in at $1910.7 billion (Q2 2026), $1656.7 billion (Q4 2025), and $1730.7 billion (Q2 2025), per Business Quant data.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Bank Of America | 394.48 Bn | -194.01 Bn | 30.39 Bn | 3,499.19 Bn |
| 2 | Hsbc Holdings | 348.97 Bn | 349.02 Bn | - | 438.87 Bn |
| 3 | Morgan Stanley | 314.73 Bn | 154.60 Bn | - | 1,675.06 Bn |
| 4 | Royal Bank Of Canada | 285.58 Bn | 58.73 Bn | - | 1,792.15 Bn |
| 5 | Goldman Sachs | 276.87 Bn | -699.48 Bn | - | 2,127.71 Bn |
| 6 | Mitsubishi Ufj Financial | 274.03 Bn | -110.29 Bn | 10.89 Bn | 2,722.33 Bn |
| 7 | Wells Fargo & Company | 251.82 Bn | 49.99 Bn | - | 2,282.20 Bn |
| 8 | Banco Santander | 212.85 Bn | 220.46 Bn | 28.01 Bn | 2,271.80 Bn |
| 9 | Toronto Dominion Bank | 207.22 Bn | 45.89 Bn | - | 1,514.63 Bn |
| 10 | Barclays Bank | 40.38 Bn | 40.38 Bn | - | 1,910.69 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1,910.69 Bn |
| Dec 31, 2025 | 1,656.69 Bn |
| Jun 30, 2025 | 1,730.67 Bn |
| Dec 31, 2024 | 1,563.98 Bn |
| Jun 30, 2024 | 1,620.65 Bn |
| Dec 31, 2023 | 1,471.01 Bn |
| Jun 30, 2023 | 1,559.99 Bn |
| Dec 31, 2022 | 1,411.62 Bn |
| Jun 30, 2022 | 1,602.79 Bn |
| Mar 31, 2022 | 2,007.51 Bn |
| Dec 31, 2021 | 1,431.32 Bn |
| Jun 30, 2021 | 1,487.65 Bn |
| Dec 31, 2020 | 1,399.28 Bn |
| Jun 30, 2020 | 1,360.85 Bn |
| Dec 31, 2019 | 1,127.20 Bn |
| Jun 30, 2019 | 1,246.78 Bn |
| Dec 31, 2018 | 1,129.40 Bn |
| Jun 30, 2018 | 1,230.68 Bn |
| Dec 31, 2017 | 1,499.39 Bn |
| Sep 30, 2017 | 1,503.85 Bn |
Barclays Bank Assets 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=assets&ticker=ATMP&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "assets", "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=assets&ticker=ATMP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();