Barclays (BCS) Income from Continuing Operations (2010 - 2026)
Barclays (BCS) recorded Income from Continuing Operations of $6.71 billion in Q2 2026, up 65.6% from $4.05 billion a year earlier and up 44.1% from the prior quarter.
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Analysis
Barclays (BCS) Income from Continuing Operations (2010 - 2026) Analysis & Trends
On a TTM basis, Barclays' Income from Continuing Operations came in at $17.64 billion as of Jun 30, 2026, up 22.5% year-over-year; for FY2025, it came in at $14.59 billion, up 15.8% from FY2024.
- Annual Income from Continuing Operations has a five-year compound annual growth rate of 25.4% (FY2020 to FY2025).
- Across earlier years, Income from Continuing Operations came in at $12.6 billion in FY2024 (+30.1%), $9.69 billion in FY2023 (-2.7%), $9.96 billion in FY2022 (-22.4%) and $12.84 billion in FY2021 (+172.5%).
- The Q2 2026 figure is the highest quarterly Income from Continuing Operations since Q1 2012.
- On a year-over-year basis, Income from Continuing Operations has increased for three consecutive quarters, with growth averaging 23.0% over the last seven quarters.
- Peak year-over-year performance for Income from Continuing Operations in the last five years was growth of 93.3% in Q4 2021, against a decline of 92.8% in Q4 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at $4.65 billion (Q1 2026), $2.99 billion (Q4 2025) and $3.3 billion (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Income (Continuing) (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 901.39 Bn | 901.39 Bn | - | 21.16 Bn |
| 2 | Bank Of America | 385.59 Bn | -1,990.47 Bn | - | 9.07 Bn |
| 3 | Hsbc Holdings | 330.57 Bn | -1,498.58 Bn | - | 3.96 Bn |
| 4 | Morgan Stanley | 292.91 Bn | -216.18 Bn | - | 5.65 Bn |
| 5 | Royal Bank Of Canada | 274.44 Bn | -555.60 Bn | - | 4.32 Bn |
| 6 | Goldman Sachs | 270.14 Bn | -3,286.97 Bn | - | 6.63 Bn |
| 7 | Mitsubishi Ufj Financial | 255.92 Bn | -39.02 Bn | 10.89 Bn | 5.31 Bn |
| 8 | Wells Fargo & Company | 249.43 Bn | 249.43 Bn | - | 6.65 Bn |
| 9 | American Express | 209.33 Bn | 1.15 Bn | - | 3.11 Bn |
| 10 | Barclays | 81.41 Bn | -1,605.72 Bn | - | 1.67 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 5.34 Bn |
| Mar 31, 2026 | 4.65 Bn |
| Dec 31, 2025 | 2.99 Bn |
| 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 Income from Continuing Operations 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=income-from-continuing-operations&ticker=BCS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "income-from-continuing-operations", "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=income-from-continuing-operations&ticker=BCS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();