Barclays (BCS) Shares Outstanding (2009 - 2026)
Barclays (BCS) posted Shares Outstanding of 3.53 billion for Q2 2026, down 4.4% from 3.69 billion a year earlier and unchanged from the prior quarter.
Analysis
Barclays (BCS) Shares Outstanding (2009 - 2026) Analysis & Trends
Since Q4 2009, Barclays has reported Shares Outstanding for 63 quarters.
- Annual Shares Outstanding has declined for five consecutive years, with a five-year compound annual growth rate of -4.0% (FY2020 to FY2025).
- In prior years, Barclays' Shares Outstanding was 3.69 billion in FY2024 (-4.5%), 3.86 billion in FY2023 (-5.4%), 4.08 billion in FY2022 (-3.8%) and 4.25 billion in FY2021 (-1.8%).
- Quarterly Shares Outstanding has run from a low of 3.53 billion in Q4 2025 to a high of 4.33 billion in Q3 2021 over five years.
- On a year-over-year basis, Shares Outstanding has declined in each of the last 19 quarters, with an average decline of 4.5% over the last eight quarters.
- The strongest year-over-year quarter for Shares Outstanding in the past five years was Q3 2021, with growth of 0.6%; the weakest was Q4 2023, with a decline of 5.4%.
- According to Business Quant data, Shares Outstanding for the three prior quarters was 3.53 billion (Q1 2026), 3.53 billion (Q4 2025) and 3.69 billion (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 901.39 Bn | 901.39 Bn | - | 2.69 Bn |
| 2 | Bank Of America | 385.63 Bn | -1,990.44 Bn | - | 7.15 Bn |
| 3 | Hsbc Holdings | 330.38 Bn | -1,498.78 Bn | - | 3.49 Bn |
| 4 | Morgan Stanley | 292.94 Bn | -216.15 Bn | - | 1.55 Bn |
| 5 | Royal Bank Of Canada | 274.15 Bn | -555.89 Bn | - | 1.41 Bn |
| 6 | Goldman Sachs | 269.96 Bn | -3,287.16 Bn | - | 300.10 Mn |
| 7 | Mitsubishi Ufj Financial | 255.69 Bn | -39.25 Bn | 10.89 Bn | 11.40 Bn |
| 8 | Wells Fargo & Company | 249.52 Bn | 249.52 Bn | - | 3.04 Bn |
| 9 | American Express | 208.96 Bn | 784.61 Mn | - | 678.00 Mn |
| 10 | Barclays | 81.44 Bn | -1,605.68 Bn | - | 3.53 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 3.53 Bn |
| Mar 31, 2026 | 3.53 Bn |
| Dec 31, 2025 | 3.53 Bn |
| Sep 30, 2025 | 3.69 Bn |
| Jun 30, 2025 | 3.69 Bn |
| Mar 31, 2025 | 3.69 Bn |
| Dec 31, 2024 | 3.69 Bn |
| Sep 30, 2024 | 3.86 Bn |
| Jun 30, 2024 | 3.86 Bn |
| Mar 31, 2024 | 3.86 Bn |
| Dec 31, 2023 | 3.86 Bn |
| Sep 30, 2023 | 4.08 Bn |
| Jun 30, 2023 | 4.08 Bn |
| Mar 31, 2023 | 4.08 Bn |
| Dec 31, 2022 | 4.08 Bn |
| Sep 30, 2022 | 4.25 Bn |
| Jun 30, 2022 | 4.25 Bn |
| Mar 31, 2022 | 4.25 Bn |
| Dec 31, 2021 | 4.25 Bn |
| Sep 30, 2021 | 4.33 Bn |
API Access
Barclays Shares Outstanding 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&ticker=BCS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding", "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&ticker=BCS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();