Barclays (BCS) EBITDA Margin (2011 - 2026)
Barclays (BCS) posted EBITDA Margin of 39.0% for Q2 2026, up 13.14% on a QoQ basis from 34.47% in Q1 2026, and down 6206.0% year-over-year from 0.64% in Q2 2025.
Barclays (BCS) EBITDA Margin (2011 - 2026) Analysis & Trends
Barclays has reported EBITDA Margin for 16 years, with the latest figure at 39.0% in Q2 2026.
- On a quarterly basis, EBITDA Margin fell 6206.0% year-over-year to 39.0% in Q2 2026; TTM through Jun 2026 was 67.69%, a 3420.0% decrease from a year earlier, with the FY2025 full-year figure at 0.03%, down 77.0% from the prior year.
- EBITDA Margin was 39.0% for Q2 2026 at Barclays, up from 34.47% in the prior quarter.
- The five-year high for EBITDA Margin was 105.0% in Q4 2024, with the low at 325.24% in Q4 2022.
- Average EBITDA Margin over 5 years is 59.14%, with a median of 100.12% recorded in 2024.
- The sharpest annual moves came in 2022 and 2023: EBITDA Margin sank 21119 bps in 2022, then surged 42854 bps in 2023.
- Over 5 years, EBITDA Margin stood at 325.24% in 2022, then soared by 132 bps to 103.3% in 2023, then climbed by 2 bps to 105.0% in 2024, then declined by 1 bps to 103.94% in 2025, then sank by 62 bps to 39.0% in 2026.
- The last three EBITDA Margin figures came in at 39.0% (Q2 2026), 34.47% (Q1 2026), and 103.94% (Q4 2025), per Business Quant data.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA Margin (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 | -29.28% |
| 4 | Astrazeneca | 260.48 Bn | 255.27 Bn | 12.86 Bn | 20.57% |
| 5 | Citigroup | 226.55 Bn | -2,073.32 Bn | 24.75 Bn | 42.53% |
| 6 | Bhp | 218.78 Bn | 200.24 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 | 31.22% |
| 10 | Barclays | 87.74 Bn | 88.35 Bn | - | 39.00% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 39.00% |
| Mar 31, 2026 | 34.47% |
| Dec 31, 2025 | 103.94% |
| Sep 30, 2025 | 103.39% |
| Jun 30, 2025 | 101.06% |
| Mar 31, 2025 | 101.39% |
| Dec 31, 2024 | 105.00% |
| Sep 30, 2024 | 100.12% |
| Jun 30, 2024 | 100.11% |
| Mar 31, 2024 | 102.55% |
| Dec 31, 2023 | 103.30% |
| Sep 30, 2023 | 100.00% |
| Jun 30, 2023 | 100.53% |
| Mar 31, 2023 | 99.99% |
| Dec 31, 2022 | -325.24% |
| Sep 30, 2022 | 93.60% |
| Jun 30, 2022 | -96.47% |
| Mar 31, 2022 | 97.83% |
| Dec 31, 2021 | -331.22% |
| Sep 30, 2021 | 97.80% |
Barclays EBITDA Margin 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=ebitda-margin&ticker=BCS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda-margin", "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=ebitda-margin&ticker=BCS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();