Barclays (BCS) EPS (Diluted) (2010 - 2026)
Barclays' EPS (Diluted) came in at $0.70 for Q3 2026, up 15.5% from $0.61 a year earlier but down 24.0% from the prior quarter.
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Analysis
Barclays (BCS) EPS (Diluted) (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Sep 30, 2026, Barclays reported EPS (Diluted) of $2.95, up 29.0% year-over-year; for FY2025, it was $2.23, up 25.3% from FY2024.
- EPS (Diluted) carries a five-year compound annual growth rate of 38.1% (FY2020 to FY2025).
- Going back by year, EPS (Diluted) was $1.78 in FY2024 (+33.0%), $1.34 in FY2023 (-9.3%), $1.47 in FY2022 (-24.8%) and $1.96 in FY2021 (+341.9%).
- The five-year range for quarterly EPS (Diluted) is -$0.03 (Q4 2023) to $0.92 (Q2 2026).
- Year-over-year, EPS (Diluted) has increased for seven consecutive quarters, with growth averaging 27.9% over the last seven quarters.
- The fastest year-over-year change in EPS (Diluted) over five years came in Q4 2021 (growth of 786.2%), and the weakest in Q4 2022 (a decline of 50.6%).
- Business Quant data shows BCS's EPS (Diluted) at $0.92 (Q2 2026), $0.80 (Q1 2026) and $0.53 (Q4 2025) in the three quarters before Q3 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EPS (Diluted) (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 911.10 Bn | 911.10 Bn | - | 5.68 |
| 2 | Bank Of America | 357.02 Bn | -2,019.04 Bn | - | 1.20 |
| 3 | Hsbc Holdings | 296.31 Bn | -1,807.28 Bn | - | 2.02 |
| 4 | Morgan Stanley | 287.68 Bn | 287.68 Bn | - | 3.03 |
| 5 | Royal Bank Of Canada | 287.49 Bn | -542.55 Bn | - | 3.06 |
| 6 | Goldman Sachs | 269.56 Bn | 269.56 Bn | - | 16.80 |
| 7 | Wells Fargo & Company | 258.27 Bn | 258.27 Bn | - | 1.87 |
| 8 | Mitsubishi Ufj Financial | 244.24 Bn | -97.15 Bn | 10.89 Bn | 2.15 |
| 9 | American Express | 219.65 Bn | 19.13 Bn | - | 5.51 |
| 10 | Barclays | 79.72 Bn | -1,629.20 Bn | - | 0.70 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 0.70 |
| Jun 30, 2026 | 0.92 |
| Mar 31, 2026 | 0.80 |
| Dec 31, 2025 | 0.53 |
| Sep 30, 2025 | 0.61 |
| Jun 30, 2025 | 0.67 |
| Mar 31, 2025 | 0.69 |
| Dec 31, 2024 | 0.32 |
| Sep 30, 2024 | 0.59 |
| Jun 30, 2024 | 0.47 |
| Mar 31, 2024 | 0.58 |
| Dec 31, 2023 | -0.03 |
| Sep 30, 2023 | 0.46 |
| Jun 30, 2023 | 0.47 |
| Mar 31, 2023 | 0.58 |
| Dec 31, 2022 | 0.29 |
| Sep 30, 2022 | 0.30 |
| Jun 30, 2022 | 0.43 |
| Mar 31, 2022 | 0.43 |
| Dec 31, 2021 | 0.58 |
API Access
Barclays EPS (Diluted) 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-diluted&ticker=BCS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "eps-diluted", "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-diluted&ticker=BCS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();