Barclays (BCS) Weighted Average Shares Outstanding (2009 - 2026)
Barclays (BCS) posted Weighted Average Shares Outstanding of 3.53 billion for Q3 2026, down 4.4% from 3.69 billion a year earlier and unchanged from the prior quarter.
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Analysis
Barclays (BCS) Weighted Average Shares Outstanding (2009 - 2026) Analysis & Trends
Since Q4 2009, Barclays has reported Weighted Average Shares Outstanding for 64 quarters.
- Annual Weighted Average 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' Weighted Average 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 Weighted Average Shares Outstanding has run from a low of 3.53 billion in Q4 2025 to a high of 4.25 billion in Q3 2022 over five years.
- On a year-over-year basis, Weighted Average Shares Outstanding has declined in each of the last 20 quarters, with an average decline of 4.4% over the last eight quarters.
- The year-over-year decline in Weighted Average Shares Outstanding has ranged between 1.8% (Q3 2022) and 5.4% (Q4 2023) over the last five years.
- According to Business Quant data, Weighted Average Shares Outstanding for the three prior quarters was 3.53 billion (Q2 2026), 3.53 billion (Q1 2026) and 3.53 billion (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Jpmorgan Chase | 918.86 Bn | 918.86 Bn | - |
| 2 | Bank Of America | 355.02 Bn | -2,021.04 Bn | - |
| 3 | Hsbc Holdings | 299.60 Bn | -1,803.99 Bn | - |
| 4 | Morgan Stanley | 288.82 Bn | 288.82 Bn | - |
| 5 | Royal Bank Of Canada | 288.46 Bn | -541.58 Bn | - |
| 6 | Goldman Sachs | 269.80 Bn | 269.80 Bn | - |
| 7 | Wells Fargo & Company | 258.84 Bn | 258.84 Bn | - |
| 8 | Mitsubishi Ufj Financial | 244.75 Bn | -96.64 Bn | 10.89 Bn |
| 9 | American Express | 221.16 Bn | 20.64 Bn | - |
| 10 | Barclays | 79.79 Bn | -1,629.13 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 3.53 Bn |
| 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 |
API Access
Barclays Weighted Average 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=weighted-average-shares-outstanding&ticker=BCS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "weighted-average-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=weighted-average-shares-outstanding&ticker=BCS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();