Bausch & Lomb (BLCO) Shares Outstanding (Diluted) (2021 - 2026)
Bausch & Lomb (BLCO) reported Shares Outstanding (Diluted) of 357.1 million for Q2 2026, up 1.0% from 353.7 million a year earlier and up 0.5% from the prior quarter.
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Analysis
Bausch & Lomb (BLCO) Shares Outstanding (Diluted) (2021 - 2026) Analysis & Trends
For FY2025, Bausch & Lomb posted Shares Outstanding (Diluted) of 353.8 million, up 0.6% from FY2024.
- Shares Outstanding (Diluted) has increased for four consecutive years, with a five-year compound annual growth rate of 0.2% (FY2020 to FY2025).
- By year, Shares Outstanding (Diluted) came in at 351.8 million in FY2024 (+0.4%), 350.5 million in FY2023 (+0.1%), 350.2 million in FY2022 (+0.1%) and 350 million in FY2021 (unchanged).
- The Q2 2026 figure ranks as the highest quarterly Shares Outstanding (Diluted) in data going back to Q1 2021.
- Year over year, Shares Outstanding (Diluted) has now increased in each of the last 13 quarters, with growth averaging 0.6% over the last eight quarters.
- Per Business Quant data, the three quarters before Q2 2026 came in at 355.2 million (Q1 2026), 353.8 million (Q4 2025) and 354.2 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 249.71 Bn | 228.86 Bn | 4.88 Bn | 371.00 Mn |
| 2 | Abbott Laboratories | 171.00 Bn | 142.08 Bn | 7.27 Bn | 1.74 Bn |
| 3 | Danaher | 155.79 Bn | 139.61 Bn | 3.61 Bn | 707.60 Mn |
| 4 | Intuitive Surgical | 143.91 Bn | 123.46 Bn | 1.96 Bn | 357.30 Mn |
| 5 | Medtronic | 110.42 Bn | 76.29 Bn | 6.34 Bn | 1.29 Bn |
| 6 | Stryker | 105.71 Bn | 91.82 Bn | 4.50 Bn | 386.00 Mn |
| 7 | Boston Scientific | 63.26 Bn | 58.27 Bn | 3.85 Bn | 1.47 Bn |
| 8 | Edwards Lifesciences | 49.80 Bn | 33.91 Bn | 1.35 Bn | 577.60 Mn |
| 9 | Becton Dickinson | 48.78 Bn | 45.93 Bn | 2.32 Bn | 275.16 Mn |
| 10 | Bausch & Lomb | 6.07 Bn | 4.81 Bn | 867.00 Mn | 357.10 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 357.10 Mn |
| Mar 31, 2026 | 355.20 Mn |
| Dec 31, 2025 | 353.80 Mn |
| Sep 30, 2025 | 354.20 Mn |
| Jun 30, 2025 | 353.70 Mn |
| Mar 31, 2025 | 352.80 Mn |
| Dec 31, 2024 | 351.80 Mn |
| Sep 30, 2024 | 353.90 Mn |
| Jun 30, 2024 | 351.80 Mn |
| Mar 31, 2024 | 351.10 Mn |
| Dec 31, 2023 | 350.50 Mn |
| Sep 30, 2023 | 350.80 Mn |
| Jun 30, 2023 | 350.50 Mn |
| Mar 31, 2023 | 350.00 Mn |
| Dec 31, 2022 | 350.20 Mn |
| Sep 30, 2022 | 350.00 Mn |
| Jun 30, 2022 | 350.00 Mn |
| Mar 31, 2022 | 350.00 Mn |
| Dec 31, 2021 | 350.00 Mn |
| Sep 30, 2021 | 350.00 Mn |
API Access
Bausch & Lomb 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=BLCO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "ticker": "BLCO", "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=BLCO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();