Jpmorgan Chase (JPM) Shares Outstanding (Diluted) (2009 - 2026)
Jpmorgan Chase (JPM) recorded Shares Outstanding (Diluted) of 2.69 billion in Q2 2026, down 3.6% from 2.79 billion a year earlier and down 1.0% from the prior quarter.
Jpmorgan Chase (JPM) Shares Outstanding (Diluted) (2009 - 2026) Analysis & Trends
For FY2025, Jpmorgan Chase reported Shares Outstanding (Diluted) of 2.78 billion, down 3.4% from FY2024.
- Annual Shares Outstanding (Diluted) has declined for 15 straight years, with a five-year compound annual growth rate of -2.1% (FY2020 to FY2025).
- Across earlier years, Shares Outstanding (Diluted) came in at 2.88 billion in FY2024 (-2.2%), 2.94 billion in FY2023 (-0.9%), 2.97 billion in FY2022 (-1.9%) and 3.03 billion in FY2021 (-2.0%).
- The Q2 2026 figure is the lowest quarterly Shares Outstanding (Diluted) in data going back to Q1 2009.
- On a year-over-year basis, Shares Outstanding (Diluted) has declined for 47 consecutive quarters, with an average decline of 3.1% over the last eight quarters.
- Over the past five years, the year-over-year decline in Shares Outstanding (Diluted) ranged from 0.3% (Q1 2023) to 3.7% (Q1 2026).
- Per Business Quant, the preceding three quarters came in at 2.72 billion (Q1 2026), 2.78 billion (Q4 2025) and 2.77 billion (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 895.36 Bn | 924.83 Bn | - | 2.69 Bn |
| 2 | Banco Santander Chile | 425.01 Bn | 544.95 Bn | - | 26.92 Bn |
| 3 | Bank Of America | 389.22 Bn | -1,986.85 Bn | - | 7.29 Bn |
| 4 | Hsbc Holdings | 347.56 Bn | 347.61 Bn | - | 3.51 Bn |
| 5 | Morgan Stanley | 304.44 Bn | -204.66 Bn | - | 1.57 Bn |
| 6 | Royal Bank Of Canada | 281.54 Bn | 132.29 Bn | - | 1.41 Bn |
| 7 | Mitsubishi Ufj Financial | 277.23 Bn | -1,311.26 Bn | 10.89 Bn | 11.40 Bn |
| 8 | Goldman Sachs | 267.12 Bn | -3,289.99 Bn | - | 304.90 Mn |
| 9 | Wells Fargo & Company | 244.76 Bn | 246.90 Bn | - | 3.07 Bn |
| 10 | Banco Santander | 209.18 Bn | 216.79 Bn | - | 14.98 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.69 Bn |
| Mar 31, 2026 | 2.72 Bn |
| Dec 31, 2025 | 2.78 Bn |
| Sep 30, 2025 | 2.77 Bn |
| Jun 30, 2025 | 2.79 Bn |
| Mar 31, 2025 | 2.82 Bn |
| Dec 31, 2024 | 2.88 Bn |
| Sep 30, 2024 | 2.87 Bn |
| Jun 30, 2024 | 2.89 Bn |
| Mar 31, 2024 | 2.91 Bn |
| Dec 31, 2023 | 2.94 Bn |
| Sep 30, 2023 | 2.93 Bn |
| Jun 30, 2023 | 2.95 Bn |
| Mar 31, 2023 | 2.97 Bn |
| Dec 31, 2022 | 2.97 Bn |
| Sep 30, 2022 | 2.97 Bn |
| Jun 30, 2022 | 2.97 Bn |
| Mar 31, 2022 | 2.98 Bn |
| Dec 31, 2021 | 3.03 Bn |
| Sep 30, 2021 | 3.01 Bn |
Jpmorgan Chase 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=JPM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "ticker": "JPM", "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=JPM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();