Barclays (BCS) Operating Income (2010 - 2025)
Barclays (BCS) posted Operating Income of $9.8 billion for Q4 2025, down 2.14% on a QoQ basis from $10.0 billion in Q3 2025, and up 4.26% year-over-year from $9.4 billion in Q4 2024.
Barclays (BCS) Operating Income (2010 - 2025) Analysis & Trends
Barclays has reported Operating Income for 16 years, with the latest figure at $9.8 billion in Q4 2025.
- On a quarterly basis, Operating Income rose 4.26% year-over-year to $9.8 billion in Q4 2025; TTM through Dec 2025 was $39.3 billion, a 12.53% increase from a year earlier, with the FY2025 full-year figure at $13.3 million, down 95.2% from the prior year.
- Operating Income was $9.8 billion for Q4 2025 at Barclays, down from $10.0 billion in the prior quarter.
- The five-year high for Operating Income was $10.0 billion in Q3 2025, with the low at -$23.0 billion in Q4 2021.
- Average Operating Income over 5 years is $4.6 billion, with a median of $8.3 billion recorded in 2021.
- The sharpest annual moves came in 2021 and 2023: Operating Income plunged 492.17% in 2021, then surged 197.02% in 2023.
- Over 5 years, Operating Income stood at -$23.0 billion in 2021, then grew by 3.95% to -$22.1 billion in 2022, then surged by 132.43% to $7.2 billion in 2023, then surged by 30.75% to $9.4 billion in 2024, then advanced by 4.26% to $9.8 billion in 2025.
- The last three Operating Income figures came in at $9.8 billion (Q4 2025), $10.0 billion (Q3 2025), and $9.7 billion (Q2 2025), per Business Quant data.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Op. Inc (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 | -3.91 Bn |
| 4 | Astrazeneca | 260.48 Bn | 255.27 Bn | 12.86 Bn | 3.16 Bn |
| 5 | Citigroup | 226.55 Bn | -2,073.32 Bn | 24.75 Bn | 10.53 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 | 703.29 Mn |
| 10 | Barclays | 87.74 Bn | 88.35 Bn | - | - |
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 9.78 Bn |
| Sep 30, 2025 | 10.00 Bn |
| Jun 30, 2025 | 9.69 Bn |
| Mar 31, 2025 | 9.84 Bn |
| Dec 31, 2024 | 9.38 Bn |
| Sep 30, 2024 | 8.52 Bn |
| Jun 30, 2024 | 7.99 Bn |
| Mar 31, 2024 | 9.04 Bn |
| Dec 31, 2023 | 7.18 Bn |
| Sep 30, 2023 | 7.93 Bn |
| Jun 30, 2023 | 7.91 Bn |
| Mar 31, 2023 | 8.80 Bn |
| Dec 31, 2022 | -22.13 Bn |
| Sep 30, 2022 | 6.56 Bn |
| Jun 30, 2022 | -8.15 Bn |
| Mar 31, 2022 | 8.53 Bn |
| Dec 31, 2021 | -23.04 Bn |
| Sep 30, 2021 | 7.37 Bn |
| Jun 30, 2021 | 8.68 Bn |
| Mar 31, 2021 | 8.06 Bn |
Barclays Operating 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=operating-income&ticker=BCS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-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=operating-income&ticker=BCS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();