Bausch & Lomb (BLCO) Capital Expenditures (2021 - 2026)
Bausch & Lomb's Capital Expenditures was $71 million in Q2 2026, down 20.2% from $89 million a year earlier and down 29.0% from the prior quarter.
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Analysis
Bausch & Lomb (BLCO) Capital Expenditures (2021 - 2026) Analysis & Trends
On a trailing twelve-month basis, Bausch & Lomb's Capital Expenditures was $321 million through Jun 30, 2026, down 8.5% year-over-year; for FY2025, it came in at $349 million, up 19.9% from FY2024.
- Capital Expenditures has now increased for three consecutive years, with a five-year compound annual growth rate of 6.6% (FY2020 to FY2025).
- In earlier years, Capital Expenditures was $291 million in FY2024 (+60.8%), $181 million in FY2023 (+3.4%), $175 million in FY2022 (-9.3%) and $193 million in FY2021 (-23.7%).
- The Q2 2026 figure marks the lowest quarterly Capital Expenditures since Q3 2024.
- Compared with a year earlier, Capital Expenditures has declined for three straight quarters, with growth averaging 19.5% over the last eight quarters.
- The best year-over-year quarter for Capital Expenditures over five years was Q2 2024 (growth of 166.7%); the worst was Q3 2023 (a decline of 32.7%).
- Per Business Quant data, BLCO's Capital Expenditures in the three quarters before Q2 2026 was $100 million (Q1 2026), $76 million (Q4 2025) and $74 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Capex (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 249.71 Bn | 228.86 Bn | 4.88 Bn | 450.00 Mn |
| 2 | Abbott Laboratories | 171.00 Bn | 142.08 Bn | 7.27 Bn | 497.00 Mn |
| 3 | Danaher | 155.79 Bn | 139.61 Bn | 3.61 Bn | 269.00 Mn |
| 4 | Intuitive Surgical | 143.91 Bn | 123.46 Bn | 1.96 Bn | 112.60 Mn |
| 5 | Medtronic | 110.42 Bn | 76.29 Bn | 6.34 Bn | 503.00 Mn |
| 6 | Stryker | 105.71 Bn | 91.82 Bn | 4.50 Bn | 202.00 Mn |
| 7 | Boston Scientific | 63.26 Bn | 58.27 Bn | 3.85 Bn | 195.00 Mn |
| 8 | Edwards Lifesciences | 49.80 Bn | 33.91 Bn | 1.35 Bn | 66.90 Mn |
| 9 | Becton Dickinson | 48.78 Bn | 45.93 Bn | 2.32 Bn | 143.00 Mn |
| 10 | Bausch & Lomb | 6.07 Bn | 4.81 Bn | 867.00 Mn | 71.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 71.00 Mn |
| Mar 31, 2026 | 100.00 Mn |
| Dec 31, 2025 | 76.00 Mn |
| Sep 30, 2025 | 74.00 Mn |
| Jun 30, 2025 | 89.00 Mn |
| Mar 31, 2025 | 110.00 Mn |
| Dec 31, 2024 | 92.00 Mn |
| Sep 30, 2024 | 60.00 Mn |
| Jun 30, 2024 | 72.00 Mn |
| Mar 31, 2024 | 67.00 Mn |
| Dec 31, 2023 | 84.00 Mn |
| Sep 30, 2023 | 33.00 Mn |
| Jun 30, 2023 | 27.00 Mn |
| Mar 31, 2023 | 37.00 Mn |
| Dec 31, 2022 | 50.00 Mn |
| Sep 30, 2022 | 49.00 Mn |
| Jun 30, 2022 | 34.00 Mn |
| Mar 31, 2022 | 42.00 Mn |
| Dec 31, 2021 | 62.00 Mn |
| Sep 30, 2021 | 41.00 Mn |
API Access
Bausch & Lomb Capital Expenditures 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=capital-expenditures&ticker=BLCO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "capital-expenditures", "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=capital-expenditures&ticker=BLCO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();