Bausch & Lomb (BLCO) Non Operating Interest Expenses (2022 - 2026)
Bausch & Lomb's Non Operating Interest Expenses came in at $93 million for Q2 2026, down 27.3% from $128 million a year earlier and down 4.1% from the prior quarter.
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Analysis
Bausch & Lomb (BLCO) Non Operating Interest Expenses (2022 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Bausch & Lomb reported Non Operating Interest Expenses of $389 million, down 7.4% year-over-year; for FY2025, it came in at $421 million, up 5.5% from FY2024.
- Non Operating Interest Expenses has increased in each of the last three years, with a three-year compound annual growth rate of 42.3% (FY2022 to FY2025).
- Going back by year, Non Operating Interest Expenses was $399 million in FY2024 (+41.0%), $283 million in FY2023 (+93.8%) and $146 million in FY2022.
- The Q2 2026 figure represents the lowest quarterly Non Operating Interest Expenses since Q3 2023.
- Year-over-year, Non Operating Interest Expenses increased in four of the last eight quarters, with growth averaging 3.5%.
- The fastest year-over-year change in Non Operating Interest Expenses over five years came in Q1 2023 (growth of 150.0%), and the weakest in Q2 2026 (a decline of 27.3%).
- Business Quant data shows BLCO's Non Operating Interest Expenses at $97 million (Q1 2026), $98 million (Q4 2025) and $101 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Operating Interest Expenses (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 249.71 Bn | 228.86 Bn | 4.88 Bn | 401.00 Mn |
| 2 | Abbott Laboratories | 171.00 Bn | 142.08 Bn | 7.27 Bn | 351.00 Mn |
| 3 | Danaher | 155.79 Bn | 139.61 Bn | 3.61 Bn | 107.00 Mn |
| 4 | Intuitive Surgical | 143.91 Bn | 123.46 Bn | 1.96 Bn | - |
| 5 | Medtronic | 110.42 Bn | 76.29 Bn | 6.34 Bn | 186.00 Mn |
| 6 | Stryker | 105.71 Bn | 91.82 Bn | 4.50 Bn | 141.00 Mn |
| 7 | Boston Scientific | 63.26 Bn | 58.27 Bn | 3.85 Bn | 96.00 Mn |
| 8 | Edwards Lifesciences | 49.80 Bn | 33.91 Bn | 1.35 Bn | - |
| 9 | Becton Dickinson | 48.78 Bn | 45.93 Bn | 2.32 Bn | 132.00 Mn |
| 10 | Bausch & Lomb | 6.07 Bn | 4.81 Bn | 867.00 Mn | 93.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 93.00 Mn |
| Mar 31, 2026 | 97.00 Mn |
| Dec 31, 2025 | 98.00 Mn |
| Sep 30, 2025 | 101.00 Mn |
| Jun 30, 2025 | 128.00 Mn |
| Mar 31, 2025 | 94.00 Mn |
| Dec 31, 2024 | 98.00 Mn |
| Sep 30, 2024 | 100.00 Mn |
| Jun 30, 2024 | 102.00 Mn |
| Mar 31, 2024 | 99.00 Mn |
| Dec 31, 2023 | 99.00 Mn |
| Sep 30, 2023 | 76.00 Mn |
| Jun 30, 2023 | 58.00 Mn |
| Mar 31, 2023 | 50.00 Mn |
| Dec 31, 2022 | 47.00 Mn |
| Sep 30, 2022 | 35.00 Mn |
| Jun 30, 2022 | 44.00 Mn |
| Mar 31, 2022 | 20.00 Mn |
API Access
Bausch & Lomb Non Operating Interest Expenses 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=non-operating-interest-expenses&ticker=BLCO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-interest-expenses", "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=non-operating-interest-expenses&ticker=BLCO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();