Bausch & Lomb (BLCO) Total Non-Current Liabilities (2021 - 2026)
Bausch & Lomb's Total Non-Current Liabilities was $6.98 billion in Q2 2026, down 3.5% from $7.23 billion a year earlier but up 1.6% from the prior quarter.
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Analysis
Bausch & Lomb (BLCO) Total Non-Current Liabilities (2021 - 2026) Analysis & Trends
From Q4 2021 onward, Bausch & Lomb has reported Total Non-Current Liabilities for 19 quarters.
- Total Non-Current Liabilities has now increased for four consecutive years, with a four-year compound annual growth rate of 57.9% (FY2021 to FY2025).
- In earlier years, Total Non-Current Liabilities was $6.5 billion in FY2024 (+6.0%), $6.13 billion in FY2023 (+64.9%), $3.71 billion in FY2022 (+230.7%) and $1.12 billion in FY2021.
- Quarterly Total Non-Current Liabilities has moved between $1.12 billion (Q4 2021) and $7.23 billion (Q2 2025) over five years.
- Compared with a year earlier, Total Non-Current Liabilities was higher in six of the last eight quarters, with growth averaging 4.4%.
- The best year-over-year quarter for Total Non-Current Liabilities over five years was Q4 2022 (growth of 230.7%); the worst was Q2 2026 (a decline of 3.5%).
- Per Business Quant data, BLCO's Total Non-Current Liabilities in the three quarters before Q2 2026 was $6.87 billion (Q1 2026), $6.98 billion (Q4 2025) and $6.83 billion (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 249.71 Bn | 228.86 Bn | 4.88 Bn | 55.95 Bn |
| 2 | Abbott Laboratories | 171.00 Bn | 142.08 Bn | 7.27 Bn | - |
| 3 | Danaher | 155.79 Bn | 139.61 Bn | 3.61 Bn | 33.25 Bn |
| 4 | Intuitive Surgical | 143.91 Bn | 123.46 Bn | 1.96 Bn | - |
| 5 | Medtronic | 110.42 Bn | 76.29 Bn | 6.34 Bn | 40.46 Bn |
| 6 | Stryker | 105.71 Bn | 91.82 Bn | 4.50 Bn | 21.28 Bn |
| 7 | Boston Scientific | 63.26 Bn | 58.27 Bn | 3.85 Bn | 17.56 Bn |
| 8 | Edwards Lifesciences | 49.80 Bn | 33.91 Bn | 1.35 Bn | 2.57 Bn |
| 9 | Becton Dickinson | 48.78 Bn | 45.93 Bn | 2.32 Bn | 23.92 Bn |
| 10 | Bausch & Lomb | 6.07 Bn | 4.81 Bn | 867.00 Mn | 6.98 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 6.98 Bn |
| Mar 31, 2026 | 6.87 Bn |
| Dec 31, 2025 | 6.98 Bn |
| Sep 30, 2025 | 6.83 Bn |
| Jun 30, 2025 | 7.23 Bn |
| Mar 31, 2025 | 6.89 Bn |
| Dec 31, 2024 | 6.50 Bn |
| Sep 30, 2024 | 6.81 Bn |
| Jun 30, 2024 | 6.63 Bn |
| Mar 31, 2024 | 6.52 Bn |
| Dec 31, 2023 | 6.13 Bn |
| Sep 30, 2023 | 6.15 Bn |
| Jun 30, 2023 | 4.28 Bn |
| Mar 31, 2023 | 4.11 Bn |
| Dec 31, 2022 | 3.71 Bn |
| Sep 30, 2022 | 3.90 Bn |
| Jun 30, 2022 | 4.03 Bn |
| Mar 31, 2022 | 3.68 Bn |
| Dec 31, 2021 | 1.12 Bn |
API Access
Bausch & Lomb Total Non-Current Liabilities 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=total-non-current-liabilities&ticker=BLCO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "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=total-non-current-liabilities&ticker=BLCO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();