Barclays Bank (ATMP) Assets (2010 - 2026)
Analysis
Barclays Bank (ATMP) Assets (2010 - 2026) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 911.77 Bn | 911.77 Bn | - | 5,091.55 Bn |
| 2 | Bank Of America | 360.24 Bn | -2,015.87 Bn | - | 3,427.70 Bn |
| 3 | Hsbc Holdings | 311.40 Bn | -1,792.19 Bn | - | 3,444.82 Bn |
| 4 | Morgan Stanley | 292.00 Bn | -252.03 Bn | - | 1,692.03 Bn |
| 5 | Royal Bank Of Canada | 285.75 Bn | -544.30 Bn | - | 1,783.44 Bn |
| 6 | Goldman Sachs | 266.89 Bn | -3,476.56 Bn | - | 2,180.43 Bn |
| 7 | Wells Fargo & Company | 257.34 Bn | 257.34 Bn | - | 2,253.29 Bn |
| 8 | Mitsubishi Ufj Financial | 245.83 Bn | -95.56 Bn | 10.89 Bn | 2,679.75 Bn |
| 9 | American Express | 218.29 Bn | 17.77 Bn | - | 310.28 Bn |
| 10 | Barclays Bank | 9.47 Bn | -1,324.42 Bn | - | 1,887.51 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1,887.51 Bn |
| Dec 31, 2025 | 1,677.34 Bn |
| Jun 30, 2025 | 1,779.87 Bn |
| Dec 31, 2024 | 1,529.14 Bn |
| Jun 30, 2024 | 1,623.71 Bn |
| Dec 31, 2023 | 1,509.23 Bn |
| Jun 30, 2023 | 1,572.59 Bn |
| Dec 31, 2022 | 1,450.98 Bn |
| Jun 30, 2022 | 1,544.07 Bn |
| Mar 31, 2022 | 1,965.70 Bn |
| Dec 31, 2021 | 1,433.26 Bn |
| Jun 30, 2021 | 1,473.33 Bn |
| Dec 31, 2020 | 1,444.44 Bn |
| Jun 30, 2020 | 1,349.19 Bn |
| Dec 31, 2019 | 1,149.62 Bn |
| Jun 30, 2019 | 1,228.79 Bn |
| Dec 31, 2018 | 1,114.12 Bn |
| Jun 30, 2018 | 1,181.14 Bn |
| Dec 31, 2017 | 1,517.93 Bn |
| Jun 30, 2017 | 1,479.20 Bn |
API Access
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();