Barclays (BCS) Shares Outstanding (Diluted) (2009 - 2026)
Barclays (BCS) posted Shares Outstanding (Diluted) of 3.65 billion for Q2 2026, down 4.4% from 3.82 billion a year earlier and unchanged from the prior quarter.
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Analysis
Barclays (BCS) Shares Outstanding (Diluted) (2009 - 2026) Analysis & Trends
Since Q4 2009, Barclays has reported Shares Outstanding (Diluted) for 63 quarters.
- Annual Shares Outstanding (Diluted) has declined for five consecutive years, with a five-year compound annual growth rate of -3.7% (FY2020 to FY2025).
- In prior years, Barclays' Shares Outstanding (Diluted) was 3.82 billion in FY2024 (-3.9%), 3.97 billion in FY2023 (-5.8%), 4.22 billion in FY2022 (-3.2%) and 4.36 billion in FY2021 (-1.4%).
- Quarterly Shares Outstanding (Diluted) has run from a low of 3.65 billion in Q4 2025 to a high of 4.42 billion in Q3 2021 over five years.
- On a year-over-year basis, Shares Outstanding (Diluted) has declined in each of the last 19 quarters, with an average decline of 4.3% over the last eight quarters.
- The strongest year-over-year quarter for Shares Outstanding (Diluted) in the past five years was Q3 2021, with growth of 1.1%; the weakest was Q4 2023, with a decline of 5.8%.
- According to Business Quant data, Shares Outstanding (Diluted) for the three prior quarters was 3.65 billion (Q1 2026), 3.65 billion (Q4 2025) and 3.82 billion (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 901.39 Bn | 901.39 Bn | - | 2.69 Bn |
| 2 | Bank Of America | 385.59 Bn | -1,990.47 Bn | - | 7.29 Bn |
| 3 | Hsbc Holdings | 330.57 Bn | -1,498.58 Bn | - | 3.51 Bn |
| 4 | Morgan Stanley | 292.91 Bn | -216.18 Bn | - | 1.57 Bn |
| 5 | Royal Bank Of Canada | 274.44 Bn | -555.60 Bn | - | 1.41 Bn |
| 6 | Goldman Sachs | 270.14 Bn | -3,286.97 Bn | - | 304.90 Mn |
| 7 | Mitsubishi Ufj Financial | 255.92 Bn | -39.02 Bn | 10.89 Bn | 11.40 Bn |
| 8 | Wells Fargo & Company | 249.43 Bn | 249.43 Bn | - | 3.07 Bn |
| 9 | American Express | 209.33 Bn | 1.15 Bn | - | 679.00 Mn |
| 10 | Barclays | 81.41 Bn | -1,605.72 Bn | - | 3.65 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 3.65 Bn |
| Mar 31, 2026 | 3.65 Bn |
| Dec 31, 2025 | 3.65 Bn |
| Sep 30, 2025 | 3.82 Bn |
| Jun 30, 2025 | 3.82 Bn |
| Mar 31, 2025 | 3.82 Bn |
| Dec 31, 2024 | 3.82 Bn |
| Sep 30, 2024 | 3.97 Bn |
| Jun 30, 2024 | 3.97 Bn |
| Mar 31, 2024 | 3.97 Bn |
| Dec 31, 2023 | 3.97 Bn |
| Sep 30, 2023 | 4.22 Bn |
| Jun 30, 2023 | 4.22 Bn |
| Mar 31, 2023 | 4.22 Bn |
| Dec 31, 2022 | 4.22 Bn |
| Sep 30, 2022 | 4.36 Bn |
| Jun 30, 2022 | 4.36 Bn |
| Mar 31, 2022 | 4.36 Bn |
| Dec 31, 2021 | 4.36 Bn |
| Sep 30, 2021 | 4.42 Bn |
API Access
Barclays Shares Outstanding (Diluted) 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=shares-outstanding-diluted&ticker=BCS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "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=shares-outstanding-diluted&ticker=BCS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();