Bausch & Lomb (BLCO) Long-Term Debt Repayments (2022 - 2026)
Bausch & Lomb (BLCO) posted Long-Term Debt Repayments of $35 million for Q2 2026, down 98.9% from $3.06 billion a year earlier and down 98.8% from the prior quarter.
Powered by 
Analysis
Bausch & Lomb (BLCO) Long-Term Debt Repayments (2022 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Long-Term Debt Repayments at Bausch & Lomb was $2.87 billion, down 16.6% year-over-year; for FY2025, it came in at $3.1 billion, up 620.0% from FY2024.
- Annual Long-Term Debt Repayments shows a three-year compound annual growth rate of 519.8% (FY2022 to FY2025).
- In prior years, Bausch & Lomb's Long-Term Debt Repayments was $430 million in FY2024 (+167.1%), $161 million in FY2023 and $13 million in FY2022.
- Quarterly Long-Term Debt Repayments has run from a low of $6 million in Q3 2022 to a high of $3.06 billion in Q2 2025 over five years.
- The strongest year-over-year quarter for Long-Term Debt Repayments in the past five years was Q1 2024, with growth of 866.7%; the weakest was Q2 2026, with a decline of 98.9%.
- According to Business Quant data, Long-Term Debt Repayments for the three prior quarters was $2.81 billion (Q1 2026), $19 million (Q4 2025) and $7 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 257.99 Bn | 237.02 Bn | 4.88 Bn | - |
| 2 | Abbott Laboratories | 175.01 Bn | 145.44 Bn | 7.27 Bn | 1.41 Bn |
| 3 | Danaher | 164.93 Bn | 148.74 Bn | 3.61 Bn | - |
| 4 | Intuitive Surgical | 151.84 Bn | 131.26 Bn | 1.96 Bn | - |
| 5 | Medtronic | 119.05 Bn | 84.30 Bn | 6.34 Bn | - |
| 6 | Stryker | 113.89 Bn | 100.00 Bn | 4.50 Bn | - |
| 7 | Boston Scientific | 65.37 Bn | 60.13 Bn | 3.85 Bn | - |
| 8 | Becton Dickinson | 53.36 Bn | 50.51 Bn | 2.32 Bn | 2.00 Bn |
| 9 | Edwards Lifesciences | 50.83 Bn | 34.83 Bn | 1.35 Bn | - |
| 10 | Bausch & Lomb | 6.11 Bn | 4.79 Bn | 867.00 Mn | 35.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 35.00 Mn |
| Mar 31, 2026 | 2.81 Bn |
| Dec 31, 2025 | 19.00 Mn |
| Sep 30, 2025 | 7.00 Mn |
| Jun 30, 2025 | 3.06 Bn |
| Mar 31, 2025 | 10.00 Mn |
| Dec 31, 2024 | 357.00 Mn |
| Sep 30, 2024 | 8.00 Mn |
| Jun 30, 2024 | 7.00 Mn |
| Mar 31, 2024 | 58.00 Mn |
| Dec 31, 2023 | 7.00 Mn |
| Sep 30, 2023 | 141.00 Mn |
| Jun 30, 2023 | 7.00 Mn |
| Mar 31, 2023 | 6.00 Mn |
| Dec 31, 2022 | 7.00 Mn |
| Sep 30, 2022 | 6.00 Mn |
API Access
Bausch & Lomb Long-Term Debt Repayments 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=long-term-debt-repayments&ticker=BLCO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-repayments", "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=long-term-debt-repayments&ticker=BLCO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();