Barclays (BCS) Dividend Coverage Ratio (2017 - 2026)
Barclays (BCS) posted Dividend Coverage Ratio of 2.83 for Q1 2026, up 96.49% on a QoQ basis from 80.72 in Q4 2025.
Analysis
Barclays (BCS) Dividend Coverage Ratio (2017 - 2026) Analysis & Trends
Barclays has reported Dividend Coverage Ratio for 5 years, with the latest figure at 2.83 in Q1 2026.
- On a quarterly basis, Dividend Coverage Ratio changed N/A year-over-year to 2.83 in Q1 2026; TTM through Mar 2026 was 6.33, a N/A change from a year earlier, with the FY2025 full-year figure at 5.72, down 215.17% from the prior year.
- Dividend Coverage Ratio was 2.83 for Q1 2026 at Barclays, up from 80.72 in the prior quarter.
- The five-year high for Dividend Coverage Ratio was 2.83 in Q1 2026, with the low at 80.72 in Q4 2025.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Div. Cover (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 | 4.82 |
| 4 | Astrazeneca | 260.48 Bn | 255.27 Bn | 12.86 Bn | 2,507.00 |
| 5 | Citigroup | 226.55 Bn | -2,073.32 Bn | 24.75 Bn | - |
| 6 | Bhp | 218.78 Bn | 200.24 Bn | - | -0.16 |
| 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 | - |
| 10 | Barclays | 87.74 Bn | 88.35 Bn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | -2.83 |
| Dec 31, 2025 | -80.72 |
| Dec 31, 2019 | 0.02 |
| Sep 30, 2019 | -1.17 |
| Dec 31, 2018 | -0.36 |
| Sep 30, 2018 | -0.92 |
| Dec 31, 2017 | -2.64 |
API Access
Barclays Dividend Coverage Ratio 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=dividend-coverage-ratio&ticker=BCS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "dividend-coverage-ratio", "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=dividend-coverage-ratio&ticker=BCS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();