Organon (OGN) Shares Outstanding (Diluted) (2020 - 2026)
Organon's Weighted Average Shares Outstanding (Diluted) came in at 272.38 million for Q3 2026, up 4.5% from 260.65 million a year earlier and up 0.7% from the prior quarter.
Organon (OGN) Shares Outstanding (Diluted) (2020 - 2026) Analysis & Trends
For FY2025, Organon's Weighted Average Shares Outstanding (Diluted) was 260.76 million, up 0.6% from FY2024.
- Weighted Average Shares Outstanding (Diluted) has increased in each of the last five years, with a five-year compound annual growth rate of 0.6% (FY2020 to FY2025).
- Going back by year, Weighted Average Shares Outstanding (Diluted) was 259.15 million in FY2024 (+1.1%), 256.27 million in FY2023 (+0.4%), 255.17 million in FY2022 (+0.4%) and 254.19 million in FY2021 (+0.3%).
- The Q3 2026 figure represents the highest quarterly Weighted Average Shares Outstanding (Diluted) in data going back to Q1 2020.
- Year-over-year, Weighted Average Shares Outstanding (Diluted) has increased for 22 consecutive quarters, with growth averaging 1.6% over the last eight quarters.
- The year-over-year growth in Weighted Average Shares Outstanding (Diluted) has ranged between 0.3% (Q4 2021) and 4.5% (Q3 2026) over the last five years.
- Business Quant data shows OGN's Weighted Average Shares Outstanding (Diluted) at 270.45 million (Q2 2026), 262.9 million (Q1 2026) and 260.76 million (Q4 2025) in the three quarters before Q3 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,348.13 Bn | 1,321.74 Bn | 20.46 Bn | 893.40 Mn |
| 2 | Johnson & Johnson | 675.90 Bn | 595.76 Bn | 17.30 Bn | 2.45 Bn |
| 3 | AbbVie | 519.45 Bn | 487.50 Bn | 13.12 Bn | 1.77 Bn |
| 4 | Merck | 364.95 Bn | 327.95 Bn | 13.19 Bn | 2.48 Bn |
| 5 | Novartis Ag | 311.58 Bn | 285.16 Bn | - | 1.96 Bn |
| 6 | Astrazeneca | 289.34 Bn | 262.94 Bn | 13.26 Bn | 1.56 Bn |
| 7 | Amgen | 251.64 Bn | 203.30 Bn | 7.58 Bn | 546.00 Mn |
| 8 | Gilead Sciences | 212.05 Bn | 187.07 Bn | 6.73 Bn | 1.25 Bn |
| 9 | Pfizer | 167.35 Bn | 115.00 Bn | 12.56 Bn | 5.75 Bn |
| 10 | Organon | 3.65 Bn | -629.18 Mn | 869.00 Mn | 272.38 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 272.38 Mn |
| Jun 30, 2026 | 270.45 Mn |
| Mar 31, 2026 | 262.90 Mn |
| Dec 31, 2025 | 260.76 Mn |
| Sep 30, 2025 | 260.65 Mn |
| Jun 30, 2025 | 260.16 Mn |
| Mar 31, 2025 | 261.00 Mn |
| Dec 31, 2024 | 259.15 Mn |
| Sep 30, 2024 | 259.76 Mn |
| Jun 30, 2024 | 258.60 Mn |
| Mar 31, 2024 | 258.36 Mn |
| Dec 31, 2023 | 256.27 Mn |
| Sep 30, 2023 | 256.35 Mn |
| Jun 30, 2023 | 255.95 Mn |
| Mar 31, 2023 | 256.17 Mn |
| Dec 31, 2022 | 255.17 Mn |
| Sep 30, 2022 | 255.07 Mn |
| Jun 30, 2022 | 255.16 Mn |
| Mar 31, 2022 | 255.05 Mn |
| Dec 31, 2021 | 254.19 Mn |
Organon 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=OGN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "ticker": "OGN", "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=OGN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();