Bausch & Lomb (BLCO) EBITDA Margin (2021 - 2026)
Bausch & Lomb (BLCO) posted EBITDA Margin of 13.27% for Q2 2026, up 5.76 percentage points from 7.51% a year earlier and up 2.50 percentage points from the prior quarter.
Bausch & Lomb (BLCO) EBITDA Margin (2021 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, EBITDA Margin at Bausch & Lomb was 13.79%, up 4.28 percentage points year-over-year; for FY2025, it was 10.47%, down 2.01 percentage points from FY2024.
- Annual EBITDA Margin shows a five-year change of -10.11 percentage points (FY2020 to FY2025).
- In prior years, Bausch & Lomb's EBITDA Margin was 12.48% in FY2024 (+0.13 pp), 12.35% in FY2023 (-3.20 pp), 15.55% in FY2022 (-4.21 pp) and 19.76% in FY2021 (-0.81 pp).
- Quarterly EBITDA Margin has run from a low of 2.02% in Q1 2025 to a high of 20.23% in Q3 2021 over five years.
- On a year-over-year basis, EBITDA Margin increased in five of the last eight quarters, with an average year-over-year change of +0.88 percentage points.
- The strongest year-over-year quarter for EBITDA Margin in the past five years was Q1 2026, with a gain of 8.75 percentage points; the weakest was Q1 2025, with a drop of 8.53 percentage points.
- According to Business Quant data, EBITDA Margin for the three prior quarters was 10.77% (Q1 2026), 15.02% (Q4 2025) and 15.93% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 257.99 Bn | 237.02 Bn | 4.88 Bn | 24.20% |
| 2 | Abbott Laboratories | 175.01 Bn | 145.44 Bn | 7.27 Bn | 21.86% |
| 3 | Danaher | 164.93 Bn | 148.74 Bn | 3.61 Bn | 28.51% |
| 4 | Intuitive Surgical | 151.84 Bn | 131.26 Bn | 1.96 Bn | 41.08% |
| 5 | Medtronic | 119.05 Bn | 84.30 Bn | 6.34 Bn | 25.55% |
| 6 | Stryker | 113.89 Bn | 100.00 Bn | 4.50 Bn | 29.67% |
| 7 | Boston Scientific | 65.37 Bn | 60.13 Bn | 3.85 Bn | 28.17% |
| 8 | Becton Dickinson | 53.36 Bn | 50.51 Bn | 2.32 Bn | 24.62% |
| 9 | Edwards Lifesciences | 50.83 Bn | 34.83 Bn | 1.35 Bn | 31.93% |
| 10 | Bausch & Lomb | 6.11 Bn | 4.79 Bn | 867.00 Mn | 13.56% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 13.56% |
| Mar 31, 2026 | 11.01% |
| Dec 31, 2025 | 15.30% |
| Sep 30, 2025 | 16.24% |
| Jun 30, 2025 | 7.90% |
| Mar 31, 2025 | 2.46% |
| Dec 31, 2024 | 15.47% |
| Sep 30, 2024 | 13.21% |
| Jun 30, 2024 | 11.60% |
| Mar 31, 2024 | 11.01% |
| Dec 31, 2023 | 14.49% |
| Sep 30, 2023 | 14.00% |
| Jun 30, 2023 | 13.43% |
| Mar 31, 2023 | 9.88% |
| Dec 31, 2022 | 14.76% |
| Sep 30, 2022 | 15.07% |
| Jun 30, 2022 | 16.58% |
| Mar 31, 2022 | 16.76% |
| Dec 31, 2021 | 19.18% |
| Sep 30, 2021 | 20.23% |
Bausch & Lomb EBITDA 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=ebitda-margin&ticker=BLCO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda-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=ebitda-margin&ticker=BLCO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();