Bausch & Lomb (BLCO) Cost of Revenue (2021 - 2026)
Bausch & Lomb's Cost of Revenue was $527 million in Q2 2026, up 0.4% from $525 million a year earlier and up 9.1% from the prior quarter.
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Analysis
Bausch & Lomb (BLCO) Cost of Revenue (2021 - 2026) Analysis & Trends
On a trailing twelve-month basis, Bausch & Lomb's Cost of Revenue was $2.05 billion through Jun 30, 2026, up 4.1% year-over-year; for FY2025, it was $2.05 billion, up 9.5% from FY2024.
- Cost of Revenue has now increased for five consecutive years, with a five-year compound annual growth rate of 9.8% (FY2020 to FY2025).
- In earlier years, Cost of Revenue was $1.87 billion in FY2024 (+14.0%), $1.64 billion in FY2023 (+8.1%), $1.52 billion in FY2022 (+3.5%) and $1.47 billion in FY2021 (+14.2%).
- Quarterly Cost of Revenue has moved between $348 million (Q1 2022) and $533 million (Q4 2025) over five years.
- Compared with a year earlier, Cost of Revenue has increased for 18 straight quarters, with growth averaging 8.3% over the last eight quarters.
- Across the past five years, year-over-year growth in Cost of Revenue ran from 0.2% in Q1 2026 to 18.4% in Q3 2024.
- Per Business Quant data, BLCO's Cost of Revenue in the three quarters before Q2 2026 was $483 million (Q1 2026), $533 million (Q4 2025) and $510 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 242.18 Bn | 221.33 Bn | 4.88 Bn | 7.11 Bn |
| 2 | Abbott Laboratories | 168.71 Bn | 139.79 Bn | 7.27 Bn | 5.33 Bn |
| 3 | Danaher | 150.46 Bn | 134.27 Bn | 3.61 Bn | 2.65 Bn |
| 4 | Intuitive Surgical | 138.71 Bn | 118.26 Bn | 1.96 Bn | 931.90 Mn |
| 5 | Medtronic | 110.54 Bn | 76.41 Bn | 6.34 Bn | 3.42 Bn |
| 6 | Stryker | 105.66 Bn | 91.78 Bn | 4.50 Bn | 2.09 Bn |
| 7 | Boston Scientific | 61.74 Bn | 56.75 Bn | 3.85 Bn | 1.59 Bn |
| 8 | Edwards Lifesciences | 49.09 Bn | 33.21 Bn | 1.35 Bn | 392.40 Mn |
| 9 | Becton Dickinson | 48.16 Bn | 45.31 Bn | 2.32 Bn | 2.67 Bn |
| 10 | Bausch & Lomb | 6.10 Bn | 4.84 Bn | 867.00 Mn | 527.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 527.00 Mn |
| Mar 31, 2026 | 483.00 Mn |
| Dec 31, 2025 | 533.00 Mn |
| Sep 30, 2025 | 510.00 Mn |
| Jun 30, 2025 | 525.00 Mn |
| Mar 31, 2025 | 482.00 Mn |
| Dec 31, 2024 | 501.00 Mn |
| Sep 30, 2024 | 464.00 Mn |
| Jun 30, 2024 | 483.00 Mn |
| Mar 31, 2024 | 424.00 Mn |
| Dec 31, 2023 | 461.00 Mn |
| Sep 30, 2023 | 392.00 Mn |
| Jun 30, 2023 | 417.00 Mn |
| Mar 31, 2023 | 372.00 Mn |
| Dec 31, 2022 | 420.00 Mn |
| Sep 30, 2022 | 372.00 Mn |
| Jun 30, 2022 | 379.00 Mn |
| Mar 31, 2022 | 348.00 Mn |
| Dec 31, 2021 | 403.00 Mn |
| Sep 30, 2021 | 364.00 Mn |
API Access
Bausch & Lomb Cost of Revenue 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=cost-of-revenue&ticker=BLCO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cost-of-revenue", "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=cost-of-revenue&ticker=BLCO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();