Barclays (BCS) Net Income (2010 - 2026)
Barclays (BCS) posted Net Income of $5.3 billion for Q2 2026, up 10263.58% on a QoQ basis from -$52.6 million in Q1 2026, and up 31.94% year-over-year from $4.1 billion in Q2 2025.
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Analysis
Barclays (BCS) Net Income (2010 - 2026) Analysis & Trends
Barclays has reported Net Income for 17 years, with the latest figure at $5.3 billion in Q2 2026.
- On a quarterly basis, Net Income rose 31.94% year-over-year to $5.3 billion in Q2 2026; TTM through Jun 2026 was $9.0 billion, a 37.63% decrease from a year earlier, with the FY2025 full-year figure at $1.0 billion, down 91.88% from the prior year.
- Net Income was $5.3 billion for Q2 2026 at Barclays, up from -$52.6 million in the prior quarter.
- The five-year high for Net Income was $5.3 billion in Q2 2026, with the low at -$52.6 million in Q1 2026.
- Average Net Income over 5 years is $2.8 billion, with a median of $2.9 billion recorded in 2023.
- The sharpest annual moves came in 2024 and 2026: Net Income surged 2406.85% in 2024, then tumbled 101.25% in 2026.
- Over 5 years, Net Income stood at $1.5 billion in 2022, then sank by 92.79% to $108.0 million in 2023, then soared by 2406.85% to $2.7 billion in 2024, then slumped by 85.45% to $393.7 million in 2025, then soared by 1257.25% to $5.3 billion in 2026.
- The last three Net Income figures came in at $5.3 billion (Q2 2026), -$52.6 million (Q1 2026), and $393.7 million (Q4 2025), per Business Quant data.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Net Income (Qtr) |
|---|---|---|---|---|---|
| 1 | Asml Holding | 659.57 Bn | 643.59 Bn | 5.90 Bn | - |
| 2 | Hsbc Holdings | 354.33 Bn | 354.38 Bn | - | - |
| 3 | General Electric | 331.23 Bn | 322.11 Bn | 6.95 Bn | 2.36 Bn |
| 4 | Astrazeneca | 260.48 Bn | 255.27 Bn | 12.86 Bn | 3.09 Bn |
| 5 | Citigroup | 226.55 Bn | -2,073.32 Bn | 24.75 Bn | 6.02 Bn |
| 6 | Bhp | 218.78 Bn | 200.24 Bn | - | -1.07 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 | 537.92 Mn |
| 10 | Barclays | 87.74 Bn | 88.35 Bn | - | 5.34 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 5.34 Bn |
| Mar 31, 2026 | -52.58 Mn |
| Dec 31, 2025 | 393.73 Mn |
| Sep 30, 2025 | 3.30 Bn |
| Jun 30, 2025 | 4.05 Bn |
| Mar 31, 2025 | 4.21 Bn |
| Dec 31, 2024 | 2.71 Bn |
| Sep 30, 2024 | 3.44 Bn |
| Jun 30, 2024 | 2.99 Bn |
| Mar 31, 2024 | 3.48 Bn |
| Dec 31, 2023 | 107.98 Mn |
| Sep 30, 2023 | 2.82 Bn |
| Jun 30, 2023 | 2.90 Bn |
| Mar 31, 2023 | 3.84 Bn |
| Dec 31, 2022 | 1.50 Bn |
| Sep 30, 2022 | 2.61 Bn |
| Jun 30, 2022 | 2.15 Bn |
| Mar 31, 2022 | 3.82 Bn |
| Dec 31, 2021 | 2.07 Bn |
| Sep 30, 2021 | 2.97 Bn |
API Access
Barclays Net Income 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=net-income&ticker=BCS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "net-income", "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=net-income&ticker=BCS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();