Barclays (BCS) Dividends Paid - Common (2017 - 2026)
Barclays (BCS) posted Dividends Paid - Common of -$1.0 billion for Q1 2026, down 4230.07% on a QoQ basis from -$23.9 million in Q4 2025.
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Analysis
Barclays (BCS) Dividends Paid - Common (2017 - 2026) Analysis & Trends
Barclays has reported Dividends Paid - Common for 5 years, with the latest figure at -$1.0 billion in Q1 2026.
- On a quarterly basis, Dividends Paid - Common changed N/A year-over-year to -$1.0 billion in Q1 2026; TTM through Mar 2026 was $1.5 billion, a N/A change from a year earlier, with the FY2025 full-year figure at -$1.7 billion, down 202.33% from the prior year.
- Dividends Paid - Common was -$1.0 billion for Q1 2026 at Barclays, down from -$23.9 million in the prior quarter.
- The five-year high for Dividends Paid - Common was -$23.9 million in Q4 2025, with the low at -$1.0 billion in Q1 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Div. Paid (Common) (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 | 492.00 Mn |
| 4 | Astrazeneca | 260.48 Bn | 255.27 Bn | 12.86 Bn | -1.00 Mn |
| 5 | Citigroup | 226.55 Bn | -2,073.32 Bn | 24.75 Bn | - |
| 6 | Bhp | 218.78 Bn | 200.24 Bn | - | -6.76 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 | - |
| 10 | Barclays | 87.74 Bn | 88.35 Bn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | -1.04 Bn |
| Dec 31, 2025 | -23.94 Mn |
| Dec 31, 2019 | 3.24 Bn |
| Sep 30, 2019 | -642.53 Mn |
| Dec 31, 2018 | 302.39 Mn |
| Sep 30, 2018 | -610.02 Mn |
| Dec 31, 2017 | 617.36 Mn |
API Access
Barclays Dividends Paid - Common 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=dividends-paid-common&ticker=BCS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "dividends-paid-common", "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=dividends-paid-common&ticker=BCS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();