Barclays (BCS) EV to EBIT (2011 - 2026)
Barclays' EV to EBIT came in at -25.87 for Q2 2026, compared with -31.67 a year earlier.
Analysis
Barclays (BCS) EV to EBIT (2011 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Barclays reported EV to EBIT of -119.51; for FY2021, it came in at -12.77.
- Going back by year, EV to EBIT was -15.40 in FY2020, -10.08 in FY2019, -11.27 in FY2018 and -8.88 in FY2017.
- The Q2 2026 figure represents the highest quarterly EV to EBIT since Q1 2023.
- Business Quant data shows BCS's EV to EBIT at -28.70 (Q1 2026), -26.28 (Q4 2025) and -29.88 (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 | -25.87 |
| Mar 31, 2026 | -28.70 |
| Dec 31, 2025 | -26.28 |
| Sep 30, 2025 | -29.88 |
| Jun 30, 2025 | -28.60 |
| Mar 31, 2025 | -31.78 |
| Dec 31, 2024 | -30.98 |
| Sep 30, 2024 | -40.32 |
| Jun 30, 2024 | -47.12 |
| Mar 31, 2024 | -48.44 |
| Dec 31, 2023 | -41.44 |
| Sep 30, 2023 | -41.21 |
| Jun 30, 2023 | -26.74 |
| Mar 31, 2023 | -19.23 |
| Dec 31, 2022 | -14.95 |
| Sep 30, 2022 | -11.64 |
| Jun 30, 2022 | -12.97 |
| Mar 31, 2022 | -12.80 |
| Dec 31, 2021 | -12.47 |
| Sep 30, 2021 | -12.18 |
API Access
Barclays EV to 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=ev-to-ebit&ticker=BCS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-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=ev-to-ebit&ticker=BCS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();