Bausch Health Companies (BHC) Shares Outstanding (Diluted) (2009 - 2026)
Bausch Health Companies (BHC) reported Weighted Average Shares Outstanding (Diluted) of 378.1 million for Q3 2026, up 0.7% from 375.5 million a year earlier and unchanged from the prior quarter.
Bausch Health Companies (BHC) Shares Outstanding (Diluted) (2009 - 2026) Analysis & Trends
For FY2025, Bausch Health Companies posted Weighted Average Shares Outstanding (Diluted) of 375 million, up 1.9% from FY2024.
- Weighted Average Shares Outstanding (Diluted) has increased for seven consecutive years, with a five-year compound annual growth rate of 1.1% (FY2020 to FY2025).
- By year, Weighted Average Shares Outstanding (Diluted) came in at 368 million in FY2024 (+0.8%), 364.9 million in FY2023 (+0.8%), 362 million in FY2022 (+0.9%) and 358.9 million in FY2021 (+1.1%).
- Year over year, Weighted Average Shares Outstanding (Diluted) has now increased in each of the last 16 quarters, with growth averaging 1.1% over the last eight quarters.
- The high point for year-over-year Weighted Average Shares Outstanding (Diluted) in five years was Q3 2025 (growth of 1.9%); the low point was Q3 2022 (a decline of 0.2%).
- Per Business Quant data, the three quarters before Q3 2026 came in at 378.1 million (Q2 2026), 372.8 million (Q1 2026) and 375 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,261.99 Bn | 1,235.61 Bn | 20.46 Bn | 893.40 Mn |
| 2 | Johnson & Johnson | 678.93 Bn | 598.79 Bn | 17.30 Bn | 2.45 Bn |
| 3 | AbbVie | 518.29 Bn | 486.30 Bn | 13.12 Bn | 1.77 Bn |
| 4 | Merck | 365.98 Bn | 328.92 Bn | 13.19 Bn | 2.48 Bn |
| 5 | Novartis Ag | 316.85 Bn | 290.09 Bn | - | 1.96 Bn |
| 6 | Astrazeneca | 293.40 Bn | 267.29 Bn | 13.26 Bn | 1.56 Bn |
| 7 | Amgen | 251.78 Bn | 203.43 Bn | 7.58 Bn | 546.00 Mn |
| 8 | Gilead Sciences | 210.61 Bn | 185.71 Bn | 6.73 Bn | 1.25 Bn |
| 9 | Pfizer | 166.87 Bn | 114.23 Bn | 12.56 Bn | 5.75 Bn |
| 10 | Bausch Health Companies | 3.16 Bn | -3.76 Bn | 2.21 Bn | 378.10 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 378.10 Mn |
| Jun 30, 2026 | 378.10 Mn |
| Mar 31, 2026 | 372.80 Mn |
| Dec 31, 2025 | 375.00 Mn |
| Sep 30, 2025 | 375.50 Mn |
| Jun 30, 2025 | 373.10 Mn |
| Mar 31, 2025 | 369.60 Mn |
| Dec 31, 2024 | 368.00 Mn |
| Sep 30, 2024 | 368.40 Mn |
| Jun 30, 2024 | 370.20 Mn |
| Mar 31, 2024 | 366.80 Mn |
| Dec 31, 2023 | 364.90 Mn |
| Sep 30, 2023 | 365.40 Mn |
| Jun 30, 2023 | 367.10 Mn |
| Mar 31, 2023 | 363.30 Mn |
| Dec 31, 2022 | 362.00 Mn |
| Sep 30, 2022 | 363.40 Mn |
| Jun 30, 2022 | 362.20 Mn |
| Mar 31, 2022 | 360.80 Mn |
| Dec 31, 2021 | 358.90 Mn |
Bausch Health Companies 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=BHC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "ticker": "BHC", "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=BHC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();