Johnson & Johnson (JNJ) Shares Outstanding (Diluted) (2009 - 2026)
Johnson & Johnson's Shares Outstanding (Diluted) came in at 2.44 billion for Q2 2026, up 0.9% from 2.42 billion a year earlier but down 0.2% from the prior quarter.
Johnson & Johnson (JNJ) Shares Outstanding (Diluted) (2009 - 2026) Analysis & Trends
For FY2025, Johnson & Johnson's Shares Outstanding (Diluted) was 2.43 billion, unchanged from FY2024.
- Shares Outstanding (Diluted) carries a four-year compound annual growth rate of -2.3% (FY2021 to FY2025).
- Going back by year, Shares Outstanding (Diluted) was 2.43 billion in FY2024 (-5.1%), 2.56 billion in FY2023 (-3.9%), 2.66 billion in FY2022 and 2.67 billion in FY2021.
- The five-year range for quarterly Shares Outstanding (Diluted) is 2.42 billion (Q2 2025) to 2.66 billion (Q4 2022).
- Year-over-year, Shares Outstanding (Diluted) increased in two of the last eight quarters, with an average decline of 1.1%.
- The fastest year-over-year change in Shares Outstanding (Diluted) over five years came in Q1 2026 (growth of 0.9%), and the weakest in Q2 2024 (a decline of 7.8%).
- Business Quant data shows JNJ's Shares Outstanding (Diluted) at 2.45 billion (Q1 2026), 2.43 billion (Q4 2025) and 2.43 billion (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,109.58 Bn | 1,078.16 Bn | 19.71 Bn | 893.70 Mn |
| 2 | Johnson & Johnson | 630.16 Bn | 548.69 Bn | 17.26 Bn | 2.44 Bn |
| 3 | AbbVie | 488.57 Bn | 461.73 Bn | 12.70 Bn | 1.77 Bn |
| 4 | Merck | 359.15 Bn | 313.58 Bn | 12.21 Bn | 2.47 Bn |
| 5 | Novartis Ag | 274.32 Bn | 238.71 Bn | 11.24 Bn | 1.96 Bn |
| 6 | Astrazeneca | 246.73 Bn | 220.50 Bn | 12.86 Bn | 1.56 Bn |
| 7 | Amgen | 224.28 Bn | 179.68 Bn | 7.24 Bn | 544.00 Mn |
| 8 | Gilead Sciences | 187.60 Bn | 161.71 Bn | 6.22 Bn | 1.24 Bn |
| 9 | Pfizer | 161.13 Bn | 108.08 Bn | 10.94 Bn | 5.70 Bn |
| 10 | Vertex Pharmaceuticals | 129.23 Bn | 101.23 Bn | 2.84 Bn | 255.20 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 2.44 Bn |
| Mar 29, 2026 | 2.45 Bn |
| Dec 28, 2025 | 2.43 Bn |
| Sep 28, 2025 | 2.43 Bn |
| Jun 29, 2025 | 2.42 Bn |
| Mar 30, 2025 | 2.42 Bn |
| Dec 29, 2024 | 2.43 Bn |
| Sep 29, 2024 | 2.43 Bn |
| Jun 30, 2024 | 2.42 Bn |
| Mar 31, 2024 | 2.43 Bn |
| Dec 31, 2023 | 2.56 Bn |
| Oct 1, 2023 | 2.55 Bn |
| Jul 2, 2023 | 2.63 Bn |
| Apr 2, 2023 | 2.61 Bn |
| Jan 1, 2023 | 2.66 Bn |
| Oct 2, 2022 | 2.66 Bn |
| Jul 3, 2022 | 2.67 Bn |
| Apr 3, 2022 | 2.67 Bn |
| Jan 2, 2022 | 2.67 Bn |
| Oct 3, 2021 | 2.67 Bn |
Johnson & Johnson 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=JNJ&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "ticker": "JNJ", "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=JNJ&period=max&api_key=YOUR_API_KEY");
const data = await res.json();