Bausch & Lomb (BLCO) Payables (2021 - 2026)
Bausch & Lomb (BLCO) posted Payables of $426 million for Q2 2026, down 5.1% from $449 million a year earlier but up 4.7% from the prior quarter.
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Analysis
Bausch & Lomb (BLCO) Payables (2021 - 2026) Analysis & Trends
At the end of FY2025, Bausch & Lomb's Payables came in at $388 million, down 0.3% from FY2024.
- Annual Payables shows a four-year compound annual growth rate of 12.9% (FY2021 to FY2025).
- In prior years, Bausch & Lomb's Payables was $389 million in FY2024 (-25.5%), $522 million in FY2023 (+41.1%), $370 million in FY2022 (+54.8%) and $239 million in FY2021.
- Quarterly Payables has run from a low of $239 million in Q4 2021 to a high of $522 million in Q4 2023 over five years.
- On a year-over-year basis, Payables has declined in each of the last four quarters, with an average decline of 1.6% over the last eight quarters.
- The strongest year-over-year quarter for Payables in the past five years was Q1 2023, with growth of 55.0%; the weakest was Q4 2024, with a decline of 25.5%.
- According to Business Quant data, Payables for the three prior quarters was $407 million (Q1 2026), $388 million (Q4 2025) and $395 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Payables (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 249.71 Bn | 228.86 Bn | 4.88 Bn | 3.27 Bn |
| 2 | Abbott Laboratories | 171.00 Bn | 142.08 Bn | 7.27 Bn | 5.89 Bn |
| 3 | Danaher | 155.79 Bn | 139.61 Bn | 3.61 Bn | 1.82 Bn |
| 4 | Intuitive Surgical | 143.91 Bn | 123.46 Bn | 1.96 Bn | 277.20 Mn |
| 5 | Medtronic | 110.42 Bn | 76.29 Bn | 6.34 Bn | 2.70 Bn |
| 6 | Stryker | 105.71 Bn | 91.82 Bn | 4.50 Bn | 2.00 Bn |
| 7 | Boston Scientific | 63.26 Bn | 58.27 Bn | 3.85 Bn | 1.23 Bn |
| 8 | Edwards Lifesciences | 49.80 Bn | 33.91 Bn | 1.35 Bn | 210.50 Mn |
| 9 | Becton Dickinson | 48.78 Bn | 45.93 Bn | 2.32 Bn | 6.11 Bn |
| 10 | Bausch & Lomb | 6.07 Bn | 4.81 Bn | 867.00 Mn | 426.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 426.00 Mn |
| Mar 31, 2026 | 407.00 Mn |
| Dec 31, 2025 | 388.00 Mn |
| Sep 30, 2025 | 395.00 Mn |
| Jun 30, 2025 | 449.00 Mn |
| Mar 31, 2025 | 427.00 Mn |
| Dec 31, 2024 | 389.00 Mn |
| Sep 30, 2024 | 455.00 Mn |
| Jun 30, 2024 | 405.00 Mn |
| Mar 31, 2024 | 426.00 Mn |
| Dec 31, 2023 | 522.00 Mn |
| Sep 30, 2023 | 364.00 Mn |
| Jun 30, 2023 | 348.00 Mn |
| Mar 31, 2023 | 389.00 Mn |
| Dec 31, 2022 | 370.00 Mn |
| Sep 30, 2022 | 295.00 Mn |
| Jun 30, 2022 | 357.00 Mn |
| Mar 31, 2022 | 251.00 Mn |
| Dec 31, 2021 | 239.00 Mn |
API Access
Bausch & Lomb Payables 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=payables&ticker=BLCO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "payables", "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=payables&ticker=BLCO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();