Barclays (BCS) EPS (Basic) (2016 - 2026)
Barclays (BCS) posted EPS (Basic) of $0.95 for Q2 2026, up 14.43% on a QoQ basis from $0.83 in Q1 2026, and up 37.67% year-over-year from $0.69 in Q2 2025.
Barclays (BCS) EPS (Basic) (2016 - 2026) Analysis & Trends
Barclays has reported EPS (Basic) for 11 years, with the latest figure at $0.95 in Q2 2026.
- On a quarterly basis, EPS (Basic) rose 37.67% year-over-year to $0.95 in Q2 2026; TTM through Jun 2026 was $2.99, a 21.27% increase from a year earlier, with the FY2025 full-year figure at $2.7, up 23.22% from the prior year.
- EPS (Basic) was $0.95 for Q2 2026 at Barclays, up from $0.83 in the prior quarter.
- The five-year high for EPS (Basic) was $1.43 in Q4 2022, with the low at $0.02 in Q3 2022.
- Average EPS (Basic) over 5 years is $0.54, with a median of $0.6 recorded in 2023.
- The sharpest annual moves came in 2022 and 2023: EPS (Basic) soared 3979.13% in 2022, then slumped 97.57% in 2023.
- Over 5 years, EPS (Basic) stood at $1.43 in 2022, then plunged by 97.57% to $0.03 in 2023, then soared by 1095.74% to $0.42 in 2024, then soared by 31.97% to $0.55 in 2025, then soared by 73.69% to $0.95 in 2026.
- The last three EPS (Basic) figures came in at $0.95 (Q2 2026), $0.83 (Q1 2026), and $0.55 (Q4 2025), per Business Quant data.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EPS (Basic) (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 | 2.28 |
| 4 | Astrazeneca | 260.48 Bn | 255.27 Bn | 12.86 Bn | 1.62 |
| 5 | Citigroup | 226.55 Bn | -2,073.32 Bn | 24.75 Bn | 3.54 |
| 6 | Bhp | 218.78 Bn | 200.24 Bn | - | -0.42 |
| 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 | 3.02 |
| 10 | Barclays | 87.74 Bn | 88.35 Bn | - | 1.04 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 0.95 |
| Mar 31, 2026 | 0.83 |
| Dec 31, 2025 | 0.55 |
| Sep 30, 2025 | 0.63 |
| Jun 30, 2025 | 0.69 |
| Mar 31, 2025 | 0.72 |
| Dec 31, 2024 | 0.42 |
| Sep 30, 2024 | 0.61 |
| Jun 30, 2024 | 0.49 |
| Mar 31, 2024 | 0.59 |
| Dec 31, 2023 | 0.03 |
| Sep 30, 2023 | 0.02 |
| Jun 30, 2023 | 0.49 |
| Mar 31, 2023 | 0.60 |
| Dec 31, 2022 | 1.43 |
| Sep 30, 2022 | 0.02 |
| Jun 30, 2022 | 0.72 |
| Mar 31, 2022 | 0.02 |
| Dec 31, 2021 | 1.92 |
| Sep 30, 2021 | 0.02 |
Barclays EPS (Basic) 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=eps-basic&ticker=BCS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "eps-basic", "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=eps-basic&ticker=BCS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();