Bausch & Lomb (BLCO) EPS (Diluted) (2021 - 2026)
Bausch & Lomb's EPS (Diluted) came in at -$0.04 for Q2 2026, compared with -$0.18 a year earlier.
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Analysis
Bausch & Lomb (BLCO) EPS (Diluted) (2021 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Bausch & Lomb reported EPS (Diluted) of -$0.48; for FY2025, it came in at -$1.02.
- Going back by year, EPS (Diluted) was -$0.90 in FY2024, -$0.74 in FY2023, $0.02 in FY2022 (-96.7%) and $0.52 in FY2021.
- The Q2 2026 figure represents the highest quarterly EPS (Diluted) since Q4 2024.
- Business Quant data shows BLCO's EPS (Diluted) at -$0.20 (Q1 2026), -$0.16 (Q4 2025) and -$0.08 (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EPS (Diluted) (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 249.71 Bn | 228.86 Bn | 4.88 Bn | 4.68 |
| 2 | Abbott Laboratories | 171.00 Bn | 142.08 Bn | 7.27 Bn | 0.53 |
| 3 | Danaher | 155.79 Bn | 139.61 Bn | 3.61 Bn | 1.23 |
| 4 | Intuitive Surgical | 143.91 Bn | 123.46 Bn | 1.96 Bn | 2.29 |
| 5 | Medtronic | 110.42 Bn | 76.29 Bn | 6.34 Bn | 1.14 |
| 6 | Stryker | 105.71 Bn | 91.82 Bn | 4.50 Bn | 3.31 |
| 7 | Boston Scientific | 63.26 Bn | 58.27 Bn | 3.85 Bn | 0.61 |
| 8 | Edwards Lifesciences | 49.80 Bn | 33.91 Bn | 1.35 Bn | 0.42 |
| 9 | Becton Dickinson | 48.78 Bn | 45.93 Bn | 2.32 Bn | 1.37 |
| 10 | Bausch & Lomb | 6.07 Bn | 4.81 Bn | 867.00 Mn | -0.04 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -0.04 |
| Mar 31, 2026 | -0.20 |
| Dec 31, 2025 | -0.16 |
| Sep 30, 2025 | -0.08 |
| Jun 30, 2025 | -0.18 |
| Mar 31, 2025 | -0.60 |
| Dec 31, 2024 | -0.01 |
| Sep 30, 2024 | 0.01 |
| Jun 30, 2024 | -0.43 |
| Mar 31, 2024 | -0.48 |
| Dec 31, 2023 | -0.15 |
| Sep 30, 2023 | -0.24 |
| Jun 30, 2023 | -0.09 |
| Mar 31, 2023 | -0.26 |
| Dec 31, 2022 | 0.00 |
| Sep 30, 2022 | -0.05 |
| Jun 30, 2022 | 0.01 |
| Mar 31, 2022 | 0.06 |
| Dec 31, 2021 | 0.15 |
| Sep 30, 2021 | 0.17 |
API Access
Bausch & Lomb EPS (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=eps-diluted&ticker=BLCO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "eps-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=eps-diluted&ticker=BLCO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();