Bausch & Lomb (BLCO) Total Liabilities (2021 - 2026)
Bausch & Lomb (BLCO) reported Total Liabilities of $7.42 billion for Q2 2026, up 1.2% from $7.32 billion a year earlier and up 1.2% from the prior quarter.
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Analysis
Bausch & Lomb (BLCO) Total Liabilities (2021 - 2026) Analysis & Trends
At the end of FY2025, Bausch & Lomb posted Total Liabilities of $7.5 billion, up 8.3% from FY2024.
- Total Liabilities has increased for four consecutive years, with a four-year compound annual growth rate of 51.6% (FY2021 to FY2025).
- By year, Total Liabilities came in at $6.93 billion in FY2024 (+6.2%), $6.52 billion in FY2023 (+61.3%), $4.04 billion in FY2022 (+184.5%) and $1.42 billion in FY2021.
- Five-year quarterly Total Liabilities spans a low of $1.42 billion in Q4 2021 and a high of $7.5 billion in Q4 2025.
- Year over year, Total Liabilities has now increased in each of the last 15 quarters, with growth averaging 6.8% over the last eight quarters.
- Across the past five years, year-over-year growth in Total Liabilities ran from 1.2% in Q2 2026 to 184.5% in Q4 2022.
- Per Business Quant data, the three quarters before Q2 2026 came in at $7.33 billion (Q1 2026), $7.5 billion (Q4 2025) and $7.33 billion (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 249.71 Bn | 228.86 Bn | 4.88 Bn | 60.49 Bn |
| 2 | Abbott Laboratories | 171.00 Bn | 142.08 Bn | 7.27 Bn | 57.45 Bn |
| 3 | Danaher | 155.79 Bn | 139.61 Bn | 3.61 Bn | 39.78 Bn |
| 4 | Intuitive Surgical | 143.91 Bn | 123.46 Bn | 1.96 Bn | 2.58 Bn |
| 5 | Medtronic | 110.42 Bn | 76.29 Bn | 6.34 Bn | 42.46 Bn |
| 6 | Stryker | 105.71 Bn | 91.82 Bn | 4.50 Bn | 23.94 Bn |
| 7 | Boston Scientific | 63.26 Bn | 58.27 Bn | 3.85 Bn | 20.04 Bn |
| 8 | Edwards Lifesciences | 49.80 Bn | 33.91 Bn | 1.35 Bn | 3.14 Bn |
| 9 | Becton Dickinson | 48.78 Bn | 45.93 Bn | 2.32 Bn | 26.32 Bn |
| 10 | Bausch & Lomb | 6.07 Bn | 4.81 Bn | 867.00 Mn | 7.42 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 7.42 Bn |
| Mar 31, 2026 | 7.33 Bn |
| Dec 31, 2025 | 7.50 Bn |
| Sep 30, 2025 | 7.33 Bn |
| Jun 30, 2025 | 7.32 Bn |
| Mar 31, 2025 | 7.00 Bn |
| Dec 31, 2024 | 6.93 Bn |
| Sep 30, 2024 | 6.85 Bn |
| Jun 30, 2024 | 6.67 Bn |
| Mar 31, 2024 | 6.56 Bn |
| Dec 31, 2023 | 6.52 Bn |
| Sep 30, 2023 | 6.19 Bn |
| Jun 30, 2023 | 4.29 Bn |
| Mar 31, 2023 | 4.12 Bn |
| Dec 31, 2022 | 4.04 Bn |
| Sep 30, 2022 | 3.90 Bn |
| Jun 30, 2022 | 4.03 Bn |
| Mar 31, 2022 | 3.69 Bn |
| Dec 31, 2021 | 1.42 Bn |
API Access
Bausch & Lomb Total 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-liabilities&ticker=BLCO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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-liabilities&ticker=BLCO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();