Bausch & Lomb (BLCO) Inventory (2021 - 2026)
Bausch & Lomb's Inventory came in at $999 million for Q2 2026, down 4.9% from $1.05 billion a year earlier but up 2.3% from the prior quarter.
Analysis
Bausch & Lomb (BLCO) Inventory (2021 - 2026) Analysis & Trends
At the end of FY2025, Bausch & Lomb's Inventory was $976 million, down 5.8% from FY2024.
- Inventory carries a four-year compound annual growth rate of 14.3% (FY2021 to FY2025).
- Going back by year, Inventory was $1.04 billion in FY2024 (+0.8%), $1.03 billion in FY2023 (+63.7%), $628 million in FY2022 (+9.8%) and $572 million in FY2021.
- The five-year range for quarterly Inventory is $572 million (Q4 2021) to $1.12 billion (Q3 2024).
- Year-over-year, Inventory has declined for six consecutive quarters, with growth averaging 2.2% over the last eight quarters.
- The fastest year-over-year change in Inventory over five years came in Q4 2023 (growth of 63.7%), and the weakest in Q3 2025 (a decline of 10.2%).
- Business Quant data shows BLCO's Inventory at $977 million (Q1 2026), $976 million (Q4 2025) and $1.01 billion (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Inventory (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 249.71 Bn | 228.86 Bn | 4.88 Bn | 5.63 Bn |
| 2 | Abbott Laboratories | 171.00 Bn | 142.08 Bn | 7.27 Bn | 7.32 Bn |
| 3 | Danaher | 155.79 Bn | 139.61 Bn | 3.61 Bn | 3.26 Bn |
| 4 | Intuitive Surgical | 143.91 Bn | 123.46 Bn | 1.96 Bn | 2.03 Bn |
| 5 | Medtronic | 110.42 Bn | 76.29 Bn | 6.34 Bn | 6.22 Bn |
| 6 | Stryker | 105.71 Bn | 91.82 Bn | 4.50 Bn | 5.52 Bn |
| 7 | Boston Scientific | 63.26 Bn | 58.27 Bn | 3.85 Bn | 3.24 Bn |
| 8 | Edwards Lifesciences | 49.80 Bn | 33.91 Bn | 1.35 Bn | 1.13 Bn |
| 9 | Becton Dickinson | 48.78 Bn | 45.93 Bn | 2.32 Bn | 3.32 Bn |
| 10 | Bausch & Lomb | 6.07 Bn | 4.81 Bn | 867.00 Mn | 999.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 999.00 Mn |
| Mar 31, 2026 | 977.00 Mn |
| Dec 31, 2025 | 976.00 Mn |
| Sep 30, 2025 | 1.01 Bn |
| Jun 30, 2025 | 1.05 Bn |
| Mar 31, 2025 | 1.03 Bn |
| Dec 31, 2024 | 1.04 Bn |
| Sep 30, 2024 | 1.12 Bn |
| Jun 30, 2024 | 1.07 Bn |
| Mar 31, 2024 | 1.07 Bn |
| Dec 31, 2023 | 1.03 Bn |
| Sep 30, 2023 | 754.00 Mn |
| Jun 30, 2023 | 699.00 Mn |
| Mar 31, 2023 | 697.00 Mn |
| Dec 31, 2022 | 628.00 Mn |
| Sep 30, 2022 | 605.00 Mn |
| Jun 30, 2022 | 606.00 Mn |
| Mar 31, 2022 | 598.00 Mn |
| Dec 31, 2021 | 572.00 Mn |
API Access
Bausch & Lomb Inventory 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=inventory&ticker=BLCO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "inventory", "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=inventory&ticker=BLCO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();