Barclays (BCS) EBIT (2010 - 2026)
Barclays (BCS) posted EBIT of $4.4 billion for Q2 2026, up 15.01% on a QoQ basis from $3.8 billion in Q1 2026, and down 54.97% year-over-year from $9.7 billion in Q2 2025.
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Analysis
Barclays (BCS) EBIT (2010 - 2026) Analysis & Trends
Barclays has reported EBIT for 17 years, with the latest figure at $4.4 billion in Q2 2026.
- On a quarterly basis, EBIT fell 54.97% year-over-year to $4.4 billion in Q2 2026; TTM through Jun 2026 was $27.9 billion, a 25.36% decrease from a year earlier, with the FY2025 full-year figure at $13.3 million, down 95.2% from the prior year.
- EBIT was $4.4 billion for Q2 2026 at Barclays, up from $3.8 billion in the prior quarter.
- The five-year high for EBIT was $10.0 billion in Q3 2025, with the low at -$22.1 billion in Q4 2022.
- Average EBIT over 5 years is $5.5 billion, with a median of $8.3 billion recorded in 2024.
- The sharpest annual moves came in 2022 and 2023: EBIT slumped 193.85% in 2022, then surged 197.02% in 2023.
- Over 5 years, EBIT stood at -$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, then tumbled by 55.41% to $4.4 billion in 2026.
- The last three EBIT figures came in at $4.4 billion (Q2 2026), $3.8 billion (Q1 2026), and $9.8 billion (Q4 2025), per Business Quant data.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBIT (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 | - | -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 | 703.29 Mn |
| 10 | Barclays | 87.74 Bn | 88.35 Bn | - | 4.36 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 4.36 Bn |
| Mar 31, 2026 | 3.79 Bn |
| 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 |
API Access
Barclays EBIT 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=ebit&ticker=BCS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebit", "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=ebit&ticker=BCS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();