Barclays (BCS) Revenue (2013 - 2026)
Barclays (BCS) posted Revenue of $11.19 billion for Q2 2026, up 16.7% from $9.59 billion a year earlier and up 1.7% from the prior quarter.
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Analysis
Barclays (BCS) Revenue (2013 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Revenue at Barclays was $41.28 billion, up 12.3% year-over-year; for FY2025, it was $38.42 billion, up 12.2% from FY2024.
- Annual Revenue has increased for six consecutive years, with a five-year compound annual growth rate of 6.6% (FY2020 to FY2025).
- In prior years, Barclays' Revenue was $34.24 billion in FY2024 (+8.5%), $31.57 billion in FY2023 (+2.2%), $30.89 billion in FY2022 (+2.3%) and $30.19 billion in FY2021 (+8.0%).
- The Q2 2026 figure stands as the highest quarterly Revenue since Q2 2015.
- On a year-over-year basis, Revenue has increased in each of the last 12 quarters, with growth averaging 14.4% over the last eight quarters.
- The strongest year-over-year quarter for Revenue in the past five years was Q4 2024, with growth of 28.6%; the weakest was Q3 2022, with a decline of 6.9%.
- According to Business Quant data, Revenue for the three prior quarters was $11.01 billion (Q1 2026), $9.41 billion (Q4 2025) and $9.67 billion (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Revenue (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 908.16 Bn | 908.16 Bn | - | 57.35 Bn |
| 2 | Bank Of America | 388.13 Bn | -1,987.93 Bn | - | 31.56 Bn |
| 3 | Hsbc Holdings | 331.50 Bn | -1,497.66 Bn | - | - |
| 4 | Morgan Stanley | 293.27 Bn | -215.82 Bn | - | 21.35 Bn |
| 5 | Royal Bank Of Canada | 275.02 Bn | -555.03 Bn | - | 13.30 Bn |
| 6 | Goldman Sachs | 270.46 Bn | -3,286.65 Bn | - | 20.34 Bn |
| 7 | Mitsubishi Ufj Financial | 256.49 Bn | -38.45 Bn | 10.89 Bn | - |
| 8 | Wells Fargo & Company | 251.16 Bn | 251.16 Bn | - | 22.62 Bn |
| 9 | American Express | 210.62 Bn | 2.45 Bn | - | 19.64 Bn |
| 10 | Barclays | 81.76 Bn | -1,605.37 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();