Bausch & Lomb (BLCO) Cash from Operations (2021 - 2026)
Bausch & Lomb's Cash from Operations came in at $153 million for Q2 2026, up 337.1% from $35 million a year earlier and up 378.1% from the prior quarter.
Bausch & Lomb (BLCO) Cash from Operations (2021 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Bausch & Lomb reported Cash from Operations of $458 million, up 146.2% year-over-year; for FY2025, it came in at $283 million, up 22.0% from FY2024.
- Cash from Operations carries a five-year compound annual growth rate of -11.5% (FY2020 to FY2025).
- Going back by year, Cash from Operations was $232 million in FY2024, -$17 million in FY2023, $345 million in FY2022 (-60.5%) and $873 million in FY2021 (+67.2%).
- The Q2 2026 figure represents the highest quarterly Cash from Operations since Q3 2024.
- Year-over-year, Cash from Operations increased in five of the last six quarters, with growth averaging 207.5%.
- The fastest year-over-year change in Cash from Operations over five years came in Q4 2025 (growth of 518.2%), and the weakest in Q1 2022 (a decline of 98.4%).
- Business Quant data shows BLCO's Cash from Operations at $32 million (Q1 2026), $136 million (Q4 2025) and $137 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash from Ops. (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 249.71 Bn | 228.86 Bn | 4.88 Bn | 2.13 Bn |
| 2 | Abbott Laboratories | 171.00 Bn | 142.08 Bn | 7.27 Bn | 2.49 Bn |
| 3 | Danaher | 155.79 Bn | 139.61 Bn | 3.61 Bn | 1.53 Bn |
| 4 | Intuitive Surgical | 143.91 Bn | 123.46 Bn | 1.96 Bn | 1.06 Bn |
| 5 | Medtronic | 110.42 Bn | 76.29 Bn | 6.34 Bn | 1.79 Bn |
| 6 | Stryker | 105.71 Bn | 91.82 Bn | 4.50 Bn | 1.26 Bn |
| 7 | Boston Scientific | 63.26 Bn | 58.27 Bn | 3.85 Bn | 1.47 Bn |
| 8 | Edwards Lifesciences | 49.80 Bn | 33.91 Bn | 1.35 Bn | 651.90 Mn |
| 9 | Becton Dickinson | 48.78 Bn | 45.93 Bn | 2.32 Bn | 776.00 Mn |
| 10 | Bausch & Lomb | 6.07 Bn | 4.81 Bn | 867.00 Mn | 153.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 153.00 Mn |
| Mar 31, 2026 | 32.00 Mn |
| Dec 31, 2025 | 136.00 Mn |
| Sep 30, 2025 | 137.00 Mn |
| Jun 30, 2025 | 35.00 Mn |
| Mar 31, 2025 | -25.00 Mn |
| Dec 31, 2024 | 22.00 Mn |
| Sep 30, 2024 | 154.00 Mn |
| Jun 30, 2024 | 15.00 Mn |
| Mar 31, 2024 | 41.00 Mn |
| Dec 31, 2023 | 15.00 Mn |
| Sep 30, 2023 | 48.00 Mn |
| Jun 30, 2023 | -24.00 Mn |
| Mar 31, 2023 | -56.00 Mn |
| Dec 31, 2022 | 159.00 Mn |
| Sep 30, 2022 | 27.00 Mn |
| Jun 30, 2022 | 156.00 Mn |
| Mar 31, 2022 | 3.00 Mn |
| Dec 31, 2021 | 162.00 Mn |
| Sep 30, 2021 | 273.00 Mn |
Bausch & Lomb Cash from Operations 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=cash-from-operations&ticker=BLCO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-from-operations", "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=cash-from-operations&ticker=BLCO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();