Bausch & Lomb (BLCO) Research & Development (2021 - 2026)
Bausch & Lomb (BLCO) posted Research & Development of $114 million for Q2 2026, up 18.8% from $96 million a year earlier and up 12.9% from the prior quarter.
Bausch & Lomb (BLCO) Research & Development (2021 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Research & Development at Bausch & Lomb was $404 million, up 12.5% year-over-year; for FY2025, it was $371 million, up 8.2% from FY2024.
- Annual Research & Development has increased for five consecutive years, with a five-year compound annual growth rate of 8.0% (FY2020 to FY2025).
- In prior years, Bausch & Lomb's Research & Development was $343 million in FY2024 (+5.9%), $324 million in FY2023 (+5.5%), $307 million in FY2022 (+13.3%) and $271 million in FY2021 (+7.1%).
- The Q2 2026 figure stands as the highest quarterly Research & Development in data going back to Q1 2021.
- On a year-over-year basis, Research & Development has increased in each of the last eight quarters, with growth averaging 11.0% over the last eight quarters.
- The strongest year-over-year quarter for Research & Development in the past five years was Q3 2022, with growth of 22.2%; the weakest was Q2 2024, with a decline of 1.2%.
- According to Business Quant data, Research & Development for the three prior quarters was $101 million (Q1 2026), $94 million (Q4 2025) and $95 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | R&D (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 249.71 Bn | 228.86 Bn | 4.88 Bn | 364.00 Mn |
| 2 | Abbott Laboratories | 171.00 Bn | 142.08 Bn | 7.27 Bn | 892.00 Mn |
| 3 | Danaher | 155.79 Bn | 139.61 Bn | 3.61 Bn | 412.00 Mn |
| 4 | Intuitive Surgical | 143.91 Bn | 123.46 Bn | 1.96 Bn | 370.60 Mn |
| 5 | Medtronic | 110.42 Bn | 76.29 Bn | 6.34 Bn | 771.00 Mn |
| 6 | Stryker | 105.71 Bn | 91.82 Bn | 4.50 Bn | 434.00 Mn |
| 7 | Boston Scientific | 63.26 Bn | 58.27 Bn | 3.85 Bn | 554.00 Mn |
| 8 | Edwards Lifesciences | 49.80 Bn | 33.91 Bn | 1.35 Bn | 278.90 Mn |
| 9 | Becton Dickinson | 48.78 Bn | 45.93 Bn | 2.32 Bn | 258.00 Mn |
| 10 | Bausch & Lomb | 6.07 Bn | 4.81 Bn | 867.00 Mn | 114.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 114.00 Mn |
| Mar 31, 2026 | 101.00 Mn |
| Dec 31, 2025 | 94.00 Mn |
| Sep 30, 2025 | 95.00 Mn |
| Jun 30, 2025 | 96.00 Mn |
| Mar 31, 2025 | 86.00 Mn |
| Dec 31, 2024 | 93.00 Mn |
| Sep 30, 2024 | 84.00 Mn |
| Jun 30, 2024 | 84.00 Mn |
| Mar 31, 2024 | 82.00 Mn |
| Dec 31, 2023 | 80.00 Mn |
| Sep 30, 2023 | 82.00 Mn |
| Jun 30, 2023 | 85.00 Mn |
| Mar 31, 2023 | 77.00 Mn |
| Dec 31, 2022 | 78.00 Mn |
| Sep 30, 2022 | 77.00 Mn |
| Jun 30, 2022 | 75.00 Mn |
| Mar 31, 2022 | 77.00 Mn |
| Dec 31, 2021 | 70.00 Mn |
| Sep 30, 2021 | 63.00 Mn |
Bausch & Lomb Research & Development 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=research-and-development&ticker=BLCO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "research-and-development", "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=research-and-development&ticker=BLCO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();