Bausch & Lomb (BLCO) EBITDA (2021 - 2026)
Bausch & Lomb's EBITDA came in at $185 million for Q2 2026, up 92.7% from $96 million a year earlier and up 38.1% from the prior quarter.
Powered by 
Analysis
Bausch & Lomb (BLCO) EBITDA (2021 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Bausch & Lomb reported EBITDA of $734 million, up 57.8% year-over-year; for FY2025, it was $534 million, down 10.7% from FY2024.
- EBITDA carries a five-year compound annual growth rate of -5.3% (FY2020 to FY2025).
- Going back by year, EBITDA was $598 million in FY2024 (+16.8%), $512 million in FY2023 (-12.6%), $586 million in FY2022 (-21.2%) and $744 million in FY2021 (+6.0%).
- The five-year range for quarterly EBITDA is $23 million (Q1 2025) to $211 million (Q4 2025).
- Year-over-year, EBITDA has increased for four consecutive quarters, with growth averaging 68.8% over the last eight quarters.
- The fastest year-over-year change in EBITDA over five years came in Q1 2026 (growth of 482.6%), and the weakest in Q1 2025 (a decline of 80.2%).
- Business Quant data shows BLCO's EBITDA at $134 million (Q1 2026), $211 million (Q4 2025) and $204 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 257.99 Bn | 237.02 Bn | 4.88 Bn | 2.90 Bn |
| 2 | Abbott Laboratories | 175.01 Bn | 145.44 Bn | 7.27 Bn | 2.75 Bn |
| 3 | Danaher | 164.93 Bn | 148.74 Bn | 3.61 Bn | 1.79 Bn |
| 4 | Intuitive Surgical | 151.84 Bn | 131.26 Bn | 1.96 Bn | 1.19 Bn |
| 5 | Medtronic | 119.05 Bn | 84.30 Bn | 6.34 Bn | 2.49 Bn |
| 6 | Stryker | 113.89 Bn | 100.00 Bn | 4.50 Bn | 1.96 Bn |
| 7 | Boston Scientific | 65.37 Bn | 60.13 Bn | 3.85 Bn | 1.53 Bn |
| 8 | Becton Dickinson | 53.36 Bn | 50.51 Bn | 2.32 Bn | 1.23 Bn |
| 9 | Edwards Lifesciences | 50.83 Bn | 34.83 Bn | 1.35 Bn | 555.90 Mn |
| 10 | Bausch & Lomb | 6.11 Bn | 4.79 Bn | 867.00 Mn | 189.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 189.00 Mn |
| Mar 31, 2026 | 137.00 Mn |
| Dec 31, 2025 | 215.00 Mn |
| Sep 30, 2025 | 208.00 Mn |
| Jun 30, 2025 | 101.00 Mn |
| Mar 31, 2025 | 28.00 Mn |
| Dec 31, 2024 | 198.00 Mn |
| Sep 30, 2024 | 158.00 Mn |
| Jun 30, 2024 | 141.00 Mn |
| Mar 31, 2024 | 121.00 Mn |
| Dec 31, 2023 | 170.00 Mn |
| Sep 30, 2023 | 141.00 Mn |
| Jun 30, 2023 | 139.00 Mn |
| Mar 31, 2023 | 92.00 Mn |
| Dec 31, 2022 | 147.00 Mn |
| Sep 30, 2022 | 142.00 Mn |
| Jun 30, 2022 | 156.00 Mn |
| Mar 31, 2022 | 149.00 Mn |
| Dec 31, 2021 | 192.00 Mn |
| Sep 30, 2021 | 192.00 Mn |
API Access
Bausch & Lomb EBITDA 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&ticker=BLCO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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&ticker=BLCO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();