Bausch & Lomb (BLCO) Total Current Liabilities (2021 - 2026)
Bausch & Lomb (BLCO) posted Total Current Liabilities of $1.89 billion for Q2 2026, up 2.7% from $1.84 billion a year earlier and up 3.8% from the prior quarter.
Bausch & Lomb (BLCO) Total Current Liabilities (2021 - 2026) Analysis & Trends
At the end of FY2025, Bausch & Lomb's Total Current Liabilities came in at $1.92 billion, up 10.5% from FY2024.
- Annual Total Current Liabilities has increased for four consecutive years, with a four-year compound annual growth rate of 15.0% (FY2021 to FY2025).
- In prior years, Bausch & Lomb's Total Current Liabilities was $1.74 billion in FY2024 (+10.1%), $1.58 billion in FY2023 (+21.8%), $1.3 billion in FY2022 (+17.9%) and $1.1 billion in FY2021.
- Quarterly Total Current Liabilities has run from a low of $1.09 billion in Q1 2022 to a high of $1.92 billion in Q4 2025 over five years.
- On a year-over-year basis, Total Current Liabilities has increased in each of the last 15 quarters, with growth averaging 10.1% over the last eight quarters.
- Across the past five years, year-over-year growth in Total Current Liabilities ran from 2.7% in Q2 2026 to 29.9% in Q3 2024.
- According to Business Quant data, Total Current Liabilities for the three prior quarters was $1.82 billion (Q1 2026), $1.92 billion (Q4 2025) and $1.9 billion (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 249.71 Bn | 228.86 Bn | 4.88 Bn | 15.07 Bn |
| 2 | Abbott Laboratories | 171.00 Bn | 142.08 Bn | 7.27 Bn | 17.81 Bn |
| 3 | Danaher | 155.79 Bn | 139.61 Bn | 3.61 Bn | 8.11 Bn |
| 4 | Intuitive Surgical | 143.91 Bn | 123.46 Bn | 1.96 Bn | 1.92 Bn |
| 5 | Medtronic | 110.42 Bn | 76.29 Bn | 6.34 Bn | 11.80 Bn |
| 6 | Stryker | 105.71 Bn | 91.82 Bn | 4.50 Bn | 6.68 Bn |
| 7 | Boston Scientific | 63.26 Bn | 58.27 Bn | 3.85 Bn | 6.43 Bn |
| 8 | Edwards Lifesciences | 49.80 Bn | 33.91 Bn | 1.35 Bn | 1.51 Bn |
| 9 | Becton Dickinson | 48.78 Bn | 45.93 Bn | 2.32 Bn | 9.40 Bn |
| 10 | Bausch & Lomb | 6.07 Bn | 4.81 Bn | 867.00 Mn | 1.89 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.89 Bn |
| Mar 31, 2026 | 1.82 Bn |
| Dec 31, 2025 | 1.92 Bn |
| Sep 30, 2025 | 1.90 Bn |
| Jun 30, 2025 | 1.84 Bn |
| Mar 31, 2025 | 1.73 Bn |
| Dec 31, 2024 | 1.74 Bn |
| Sep 30, 2024 | 1.80 Bn |
| Jun 30, 2024 | 1.68 Bn |
| Mar 31, 2024 | 1.62 Bn |
| Dec 31, 2023 | 1.58 Bn |
| Sep 30, 2023 | 1.39 Bn |
| Jun 30, 2023 | 1.33 Bn |
| Mar 31, 2023 | 1.25 Bn |
| Dec 31, 2022 | 1.30 Bn |
| Sep 30, 2022 | 1.20 Bn |
| Jun 30, 2022 | 1.27 Bn |
| Mar 31, 2022 | 1.09 Bn |
| Dec 31, 2021 | 1.10 Bn |
Bausch & Lomb Total 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-current-liabilities&ticker=BLCO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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-current-liabilities&ticker=BLCO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();