Bausch & Lomb (BLCO) Net Margin (2021 - 2026)
Bausch & Lomb (BLCO) posted Net Margin of -1.00% for Q2 2026, up 3.85 percentage points from -4.85% a year earlier and up 4.70 percentage points from the prior quarter.
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Analysis
Bausch & Lomb (BLCO) Net Margin (2021 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Net Margin at Bausch & Lomb was -3.21%, up 2.37 percentage points year-over-year; for FY2025, it came in at -7.06%, down 0.44 percentage points from FY2024.
- Annual Net Margin has declined for four consecutive years, with a five-year change of -6.53 percentage points (FY2020 to FY2025).
- In prior years, Bausch & Lomb's Net Margin was -6.62% in FY2024 (-0.35 pp), -6.27% in FY2023 (-6.43 pp), 0.16% in FY2022 (-4.67 pp) and 4.83% in FY2021 (+5.36 pp).
- The Q2 2026 figure stands as the highest quarterly Net Margin since Q4 2024.
- On a year-over-year basis, Net Margin increased in five of the last eight quarters, with an average year-over-year change of +3.44 percentage points.
- The strongest year-over-year quarter for Net Margin in the past five years was Q1 2026, with a gain of 12.94 percentage points; the weakest was Q1 2023, with a drop of 11.92 percentage points.
- According to Business Quant data, Net Margin for the three prior quarters was -5.71% (Q1 2026), -4.13% (Q4 2025) and -2.19% (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Net Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 257.99 Bn | 237.02 Bn | 4.88 Bn | 14.47% |
| 2 | Abbott Laboratories | 175.01 Bn | 145.44 Bn | 7.27 Bn | 7.37% |
| 3 | Danaher | 164.93 Bn | 148.74 Bn | 3.61 Bn | 13.89% |
| 4 | Intuitive Surgical | 151.84 Bn | 131.26 Bn | 1.96 Bn | 28.29% |
| 5 | Medtronic | 119.05 Bn | 84.30 Bn | 6.34 Bn | 15.07% |
| 6 | Stryker | 113.89 Bn | 100.00 Bn | 4.50 Bn | 19.37% |
| 7 | Boston Scientific | 65.37 Bn | 60.13 Bn | 3.85 Bn | 16.67% |
| 8 | Becton Dickinson | 53.36 Bn | 50.51 Bn | 2.32 Bn | 7.57% |
| 9 | Edwards Lifesciences | 50.83 Bn | 34.83 Bn | 1.35 Bn | 13.89% |
| 10 | Bausch & Lomb | 6.11 Bn | 4.79 Bn | 867.00 Mn | -1.00% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -1.00% |
| Mar 31, 2026 | -5.71% |
| Dec 31, 2025 | -4.13% |
| Sep 30, 2025 | -2.19% |
| Jun 30, 2025 | -4.85% |
| Mar 31, 2025 | -18.65% |
| Dec 31, 2024 | -0.23% |
| Sep 30, 2024 | 0.33% |
| Jun 30, 2024 | -12.42% |
| Mar 31, 2024 | -15.20% |
| Dec 31, 2023 | -4.60% |
| Sep 30, 2023 | -8.34% |
| Jun 30, 2023 | -3.09% |
| Mar 31, 2023 | -9.67% |
| Dec 31, 2022 | -0.10% |
| Sep 30, 2022 | -1.91% |
| Jun 30, 2022 | 0.53% |
| Mar 31, 2022 | 2.25% |
| Dec 31, 2021 | 5.09% |
| Sep 30, 2021 | 6.32% |
API Access
Bausch & Lomb Net Margin 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=net-margin&ticker=BLCO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "net-margin", "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=net-margin&ticker=BLCO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();