Bausch & Lomb (BLCO) Amortization - Intangibles (2021 - 2026)
Bausch & Lomb (BLCO) recorded Amortization - Intangibles of $57 million in Q2 2026, down 14.9% from $67 million a year earlier and unchanged from the prior quarter.
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Analysis
Bausch & Lomb (BLCO) Amortization - Intangibles (2021 - 2026) Analysis & Trends
On a TTM basis, Bausch & Lomb's Amortization - Intangibles came in at $238 million as of Jun 30, 2026, down 13.1% year-over-year; for FY2025, it came in at $258 million, down 10.4% from FY2024.
- Annual Amortization - Intangibles has a five-year compound annual growth rate of -4.4% (FY2020 to FY2025).
- Across earlier years, Amortization - Intangibles came in at $288 million in FY2024 (+20.0%), $240 million in FY2023 (-1.6%), $244 million in FY2022 (-16.4%) and $292 million in FY2021 (-9.6%).
- Quarterly Amortization - Intangibles has ranged from $47 million in Q3 2023 to $80 million in Q4 2023 over the past five years.
- On a year-over-year basis, Amortization - Intangibles has declined for seven consecutive quarters, with an average decline of 4.2% over the last eight quarters.
- Peak year-over-year performance for Amortization - Intangibles in the last five years was growth of 53.2% in Q3 2024, against a decline of 20.3% in Q3 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at $57 million (Q1 2026), $56 million (Q4 2025) and $68 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 249.71 Bn | 228.86 Bn | 4.88 Bn |
| 2 | Abbott Laboratories | 171.00 Bn | 142.08 Bn | 7.27 Bn |
| 3 | Danaher | 155.79 Bn | 139.61 Bn | 3.61 Bn |
| 4 | Intuitive Surgical | 143.91 Bn | 123.46 Bn | 1.96 Bn |
| 5 | Medtronic | 110.42 Bn | 76.29 Bn | 6.34 Bn |
| 6 | Stryker | 105.71 Bn | 91.82 Bn | 4.50 Bn |
| 7 | Boston Scientific | 63.26 Bn | 58.27 Bn | 3.85 Bn |
| 8 | Edwards Lifesciences | 49.80 Bn | 33.91 Bn | 1.35 Bn |
| 9 | Becton Dickinson | 48.78 Bn | 45.93 Bn | 2.32 Bn |
| 10 | Bausch & Lomb | 6.07 Bn | 4.81 Bn | 867.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 57.00 Mn |
| Mar 31, 2026 | 57.00 Mn |
| Dec 31, 2025 | 56.00 Mn |
| Sep 30, 2025 | 68.00 Mn |
| Jun 30, 2025 | 67.00 Mn |
| Mar 31, 2025 | 67.00 Mn |
| Dec 31, 2024 | 68.00 Mn |
| Sep 30, 2024 | 72.00 Mn |
| Jun 30, 2024 | 74.00 Mn |
| Mar 31, 2024 | 74.00 Mn |
| Dec 31, 2023 | 80.00 Mn |
| Sep 30, 2023 | 47.00 Mn |
| Jun 30, 2023 | 56.00 Mn |
| Mar 31, 2023 | 57.00 Mn |
| Dec 31, 2022 | 56.00 Mn |
| Sep 30, 2022 | 59.00 Mn |
| Jun 30, 2022 | 64.00 Mn |
| Mar 31, 2022 | 65.00 Mn |
| Dec 31, 2021 | 67.00 Mn |
| Sep 30, 2021 | 72.00 Mn |
API Access
Bausch & Lomb Amortization - Intangibles 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=amortization-intangibles&ticker=BLCO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "amortization-intangibles", "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=amortization-intangibles&ticker=BLCO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();