Bausch & Lomb (BLCO) Operating Expenses (2021 - 2026)
Bausch & Lomb's Operating Expenses came in at $1.31 billion for Q2 2026, up 1.7% from $1.29 billion a year earlier and up 8.3% from the prior quarter.
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Analysis
Bausch & Lomb (BLCO) Operating Expenses (2021 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Bausch & Lomb reported Operating Expenses of $5 billion, up 3.0% year-over-year; for FY2025, it came in at $4.99 billion, up 7.8% from FY2024.
- Operating Expenses has increased in each of the last five years, with a five-year compound annual growth rate of 9.6% (FY2020 to FY2025).
- Going back by year, Operating Expenses was $4.63 billion in FY2024 (+15.3%), $4.02 billion in FY2023 (+12.8%), $3.56 billion in FY2022 (+3.6%) and $3.44 billion in FY2021 (+9.0%).
- The Q2 2026 figure represents the highest quarterly Operating Expenses in data going back to Q1 2021.
- Year-over-year, Operating Expenses increased in seven of the last eight quarters, with growth averaging 7.2%.
- The fastest year-over-year change in Operating Expenses over five years came in Q2 2024 (growth of 20.0%), and the weakest in Q1 2026 (a decline of 0.7%).
- Business Quant data shows BLCO's Operating Expenses at $1.21 billion (Q1 2026), $1.29 billion (Q4 2025) and $1.19 billion (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 249.71 Bn | 228.86 Bn | 4.88 Bn | 9.91 Bn |
| 2 | Abbott Laboratories | 171.00 Bn | 142.08 Bn | 7.27 Bn | 10.90 Bn |
| 3 | Danaher | 155.79 Bn | 139.61 Bn | 3.61 Bn | 2.48 Bn |
| 4 | Intuitive Surgical | 143.91 Bn | 123.46 Bn | 1.96 Bn | 988.50 Mn |
| 5 | Medtronic | 110.42 Bn | 76.29 Bn | 6.34 Bn | 4.06 Bn |
| 6 | Stryker | 105.71 Bn | 91.82 Bn | 4.50 Bn | 2.84 Bn |
| 7 | Boston Scientific | 63.26 Bn | 58.27 Bn | 3.85 Bn | 2.67 Bn |
| 8 | Edwards Lifesciences | 49.80 Bn | 33.91 Bn | 1.35 Bn | 840.10 Mn |
| 9 | Becton Dickinson | 48.78 Bn | 45.93 Bn | 2.32 Bn | 4.32 Bn |
| 10 | Bausch & Lomb | 6.07 Bn | 4.81 Bn | 867.00 Mn | 1.31 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.31 Bn |
| Mar 31, 2026 | 1.21 Bn |
| Dec 31, 2025 | 1.29 Bn |
| Sep 30, 2025 | 1.19 Bn |
| Jun 30, 2025 | 1.29 Bn |
| Mar 31, 2025 | 1.22 Bn |
| Dec 31, 2024 | 1.19 Bn |
| Sep 30, 2024 | 1.15 Bn |
| Jun 30, 2024 | 1.19 Bn |
| Mar 31, 2024 | 1.09 Bn |
| Dec 31, 2023 | 1.12 Bn |
| Sep 30, 2023 | 967.00 Mn |
| Jun 30, 2023 | 992.00 Mn |
| Mar 31, 2023 | 933.00 Mn |
| Dec 31, 2022 | 945.00 Mn |
| Sep 30, 2022 | 896.00 Mn |
| Jun 30, 2022 | 885.00 Mn |
| Mar 31, 2022 | 835.00 Mn |
| Dec 31, 2021 | 909.00 Mn |
| Sep 30, 2021 | 855.00 Mn |
API Access
Bausch & Lomb Operating Expenses 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=operating-expenses&ticker=BLCO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=BLCO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();