Barclays (BCS) Revenue (2011 - 2026)
Barclays (BCS) posted Revenue of $11.2 billion for Q2 2026, up 1.65% on a QoQ basis from $11.0 billion in Q1 2026, and up 16.68% year-over-year from $9.6 billion in Q2 2025.
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Analysis
Barclays (BCS) Revenue (2011 - 2026) Analysis & Trends
Barclays has reported Revenue for 16 years, with the latest figure at $11.2 billion in Q2 2026.
- On a quarterly basis, Revenue rose 16.68% year-over-year to $11.2 billion in Q2 2026; TTM through Jun 2026 was $41.3 billion, a 12.34% increase from a year earlier, with the FY2025 full-year figure at $38.8 billion, up 12.73% from the prior year.
- Revenue was $11.2 billion for Q2 2026 at Barclays, up from $11.0 billion in the prior quarter.
- The five-year high for Revenue was $11.2 billion in Q2 2026, with the low at $6.8 billion in Q4 2022.
- Average Revenue over 5 years is $8.7 billion, with a median of $8.8 billion recorded in 2023.
- The sharpest annual moves came in 2022 and 2024: Revenue retreated 6.91% in 2022, then rose 28.65% in 2024.
- Over 5 years, Revenue stood at $6.8 billion in 2022, then rose by 2.11% to $6.9 billion in 2023, then increased by 28.65% to $8.9 billion in 2024, then gained by 5.32% to $9.4 billion in 2025, then climbed by 18.84% to $11.2 billion in 2026.
- The last three Revenue figures came in at $11.2 billion (Q2 2026), $11.0 billion (Q1 2026), and $9.4 billion (Q4 2025), per Business Quant data.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Revenue (Qtr) |
|---|---|---|---|---|---|
| 1 | Asml Holding | 659.57 Bn | 643.59 Bn | 5.90 Bn | 11.31 Bn |
| 2 | Hsbc Holdings | 354.33 Bn | 354.38 Bn | - | - |
| 3 | General Electric | 331.23 Bn | 322.11 Bn | 6.95 Bn | 13.35 Bn |
| 4 | Astrazeneca | 260.48 Bn | 255.27 Bn | 12.86 Bn | 15.38 Bn |
| 5 | Citigroup | 226.55 Bn | -2,073.32 Bn | 24.75 Bn | 24.77 Bn |
| 6 | Bhp | 218.78 Bn | 200.24 Bn | - | - |
| 7 | Diageo | 211.16 Bn | 211.21 Bn | - | - |
| 8 | Rio Tinto | 188.09 Bn | 183.71 Bn | - | - |
| 9 | Ferrari | 154.46 Bn | 152.71 Bn | 1.18 Bn | 2.25 Bn |
| 10 | Barclays | 87.74 Bn | 88.35 Bn | - | 11.19 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 11.19 Bn |
| Mar 31, 2026 | 11.01 Bn |
| Dec 31, 2025 | 9.41 Bn |
| Sep 30, 2025 | 9.67 Bn |
| Jun 30, 2025 | 9.59 Bn |
| Mar 31, 2025 | 9.71 Bn |
| Dec 31, 2024 | 8.94 Bn |
| Sep 30, 2024 | 8.51 Bn |
| Jun 30, 2024 | 7.98 Bn |
| Mar 31, 2024 | 8.82 Bn |
| Dec 31, 2023 | 6.95 Bn |
| Sep 30, 2023 | 7.93 Bn |
| Jun 30, 2023 | 7.86 Bn |
| Mar 31, 2023 | 8.80 Bn |
| Dec 31, 2022 | 6.80 Bn |
| Sep 30, 2022 | 7.01 Bn |
| Jun 30, 2022 | 8.45 Bn |
| Mar 31, 2022 | 8.72 Bn |
| Dec 31, 2021 | 6.96 Bn |
| Sep 30, 2021 | 7.53 Bn |
API Access
Barclays Revenue 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=revenue&ticker=BCS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "revenue", "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=revenue&ticker=BCS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();