Barclays (BCS) Assets (2009 - 2026)
Barclays (BCS) recorded Assets of $2.32 trillion in Q2 2026, up 8.9% from $2.13 trillion a year earlier and up 1.6% from the prior quarter.
Analysis
Barclays (BCS) Assets (2009 - 2026) Analysis & Trends
At the end of FY2025, Barclays reported Assets of $2.04 trillion, up 4.9% from FY2024.
- Annual Assets has a five-year compound annual growth rate of 3.3% (FY2020 to FY2025).
- Across earlier years, Assets came in at $1.94 trillion in FY2024 (+5.6%), $1.84 trillion in FY2023 (-1.9%), $1.87 trillion in FY2022 (-1.6%) and $1.9 trillion in FY2021 (+9.9%).
- The Q2 2026 figure is the highest quarterly Assets since Q2 2013.
- On a year-over-year basis, Assets rose in six of the last seven quarters, with growth averaging 5.3%.
- Peak year-over-year performance for Assets in the last five years was growth of 10.5% in Q3 2025, against a decline of 6.8% in Q1 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at $2.28 trillion (Q1 2026), $2.05 trillion (Q4 2025) and $2.2 billion (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 902.19 Bn | 902.19 Bn | - | 5,015.07 Bn |
| 2 | Bank Of America | 385.63 Bn | -1,990.44 Bn | - | 3,499.19 Bn |
| 3 | Hsbc Holdings | 330.47 Bn | -1,498.69 Bn | - | 3,438.16 Bn |
| 4 | Morgan Stanley | 292.87 Bn | -216.23 Bn | - | 1,675.06 Bn |
| 5 | Royal Bank Of Canada | 274.66 Bn | -555.39 Bn | - | 1,783.44 Bn |
| 6 | Goldman Sachs | 270.16 Bn | -3,286.96 Bn | - | 2,127.71 Bn |
| 7 | Mitsubishi Ufj Financial | 255.81 Bn | -39.14 Bn | 10.89 Bn | 2,679.75 Bn |
| 8 | Wells Fargo & Company | 249.53 Bn | 249.53 Bn | - | 2,282.20 Bn |
| 9 | American Express | 209.56 Bn | 1.39 Bn | - | 308.20 Bn |
| 10 | Barclays | 81.39 Bn | -1,605.74 Bn | - | 2,293.47 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2,321.58 Bn |
| Mar 31, 2026 | 2,284.87 Bn |
| Dec 31, 2025 | 2,054.00 Bn |
| Sep 30, 2025 | 2,198.32 Bn |
| Jun 30, 2025 | 2,132.74 Bn |
| Mar 31, 2025 | 2,007.00 Bn |
| Dec 31, 2024 | 1,948.62 Bn |
| Sep 30, 2024 | 1,989.40 Bn |
| Jun 30, 2024 | 1,990.06 Bn |
| Mar 31, 2024 | 2,000.60 Bn |
| Dec 31, 2023 | 1,833.80 Bn |
| Sep 30, 2023 | 2,016.21 Bn |
| Jun 30, 2023 | 1,939.25 Bn |
| Mar 31, 2023 | 1,870.73 Bn |
| Dec 31, 2022 | 1,775.46 Bn |
| Sep 30, 2022 | 2,035.23 Bn |
| Jun 30, 2022 | 2,001.34 Bn |
| Mar 31, 2022 | 2,007.51 Bn |
| Dec 31, 2021 | 1,866.05 Bn |
| Sep 30, 2021 | 1,939.00 Bn |
API Access
Barclays 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=BCS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "assets", "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=assets&ticker=BCS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();