Barclays (BCS) Price to Earnings (2011 - 2026)
Barclays' Price to Earnings came in at 8.84 for Q2 2026, up 19.8% from 7.38 a year earlier and up 17.2% from the prior quarter.
Analysis
Barclays (BCS) Price to Earnings (2011 - 2026) Analysis & Trends
For FY2025, Barclays' Price to Earnings was 10.84, up 53.7% from FY2024.
- Price to Earnings has increased in each of the last three years.
- Going back by year, Price to Earnings was 7.05 in FY2024 (+25.5%), 5.62 in FY2023 (+12.8%), 4.98 in FY2022 (-1.9%) and 5.08 in FY2021 (-71.3%).
- The five-year range for quarterly Price to Earnings is 3.55 (Q3 2022) to 9.35 (Q4 2025).
- Year-over-year, Price to Earnings has increased for 12 consecutive quarters, with growth averaging 31.2% over the last eight quarters.
- The fastest year-over-year change in Price to Earnings over five years came in Q3 2024 (growth of 77.5%), and the weakest in Q1 2022 (a decline of 62.6%).
- Business Quant data shows BCS's Price to Earnings at 7.54 (Q1 2026), 9.35 (Q4 2025) and 8.25 (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Jpmorgan Chase | 900.79 Bn | 900.79 Bn | - |
| 2 | Bank Of America | 385.95 Bn | -1,990.11 Bn | - |
| 3 | Hsbc Holdings | 330.38 Bn | -1,498.78 Bn | - |
| 4 | Morgan Stanley | 291.63 Bn | -217.46 Bn | - |
| 5 | Royal Bank Of Canada | 274.61 Bn | -555.43 Bn | - |
| 6 | Goldman Sachs | 269.01 Bn | -3,288.10 Bn | - |
| 7 | Mitsubishi Ufj Financial | 255.58 Bn | -39.36 Bn | 10.89 Bn |
| 8 | Wells Fargo & Company | 249.20 Bn | 249.20 Bn | - |
| 9 | American Express | 209.36 Bn | 1.18 Bn | - |
| 10 | Barclays | 81.25 Bn | -1,605.88 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 8.84 |
| Mar 31, 2026 | 7.54 |
| Dec 31, 2025 | 9.35 |
| Sep 30, 2025 | 8.53 |
| Jun 30, 2025 | 7.63 |
| Mar 31, 2025 | 6.82 |
| Dec 31, 2024 | 6.16 |
| Sep 30, 2024 | 7.20 |
| Jun 30, 2024 | 6.79 |
| Mar 31, 2024 | 5.88 |
| Dec 31, 2023 | 4.77 |
| Sep 30, 2023 | 4.06 |
| Jun 30, 2023 | 4.19 |
| Mar 31, 2023 | 4.19 |
| Dec 31, 2022 | 4.97 |
| Sep 30, 2022 | 4.14 |
| Jun 30, 2022 | 4.84 |
| Mar 31, 2022 | 4.09 |
| Dec 31, 2021 | 5.06 |
| Sep 30, 2021 | 6.05 |
API Access
Barclays Price to Earnings 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=price-to-earnings&ticker=BCS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-earnings", "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=price-to-earnings&ticker=BCS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();