LivaNova (LIVN) Interest Expenses (2015 - 2026)
LivaNova's Interest Expenses came in at $7.18 million for Q2 2026, down 51.9% from $14.93 million a year earlier and down 13.4% from the prior quarter.
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Analysis
LivaNova (LIVN) Interest Expenses (2015 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, LivaNova reported Interest Expenses of $37.19 million, down 39.9% year-over-year; for FY2025, it was $49.29 million, down 21.9% from FY2024.
- Interest Expenses carries a five-year compound annual growth rate of 3.8% (FY2020 to FY2025).
- Going back by year, Interest Expenses was $63.07 million in FY2024 (+7.2%), $58.85 million in FY2023 (+22.0%), $48.25 million in FY2022 (-3.8%) and $50.15 million in FY2021 (+22.8%).
- The Q2 2026 figure represents the lowest quarterly Interest Expenses since Q4 2021.
- Year-over-year, Interest Expenses has declined for six consecutive quarters, with an average decline of 20.2% over the last eight quarters.
- The fastest year-over-year change in Interest Expenses over five years came in Q4 2022 (growth of 110.6%), and the weakest in Q4 2021 (a decline of 59.3%).
- Business Quant data shows LIVN's Interest Expenses at $8.29 million (Q1 2026), $10.86 million (Q4 2025) and $10.86 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Int Expense (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 241.25 Bn | 220.40 Bn | 4.88 Bn | 401.00 Mn |
| 2 | Abbott Laboratories | 167.33 Bn | 138.41 Bn | 7.27 Bn | 351.00 Mn |
| 3 | Danaher | 148.83 Bn | 132.65 Bn | 3.61 Bn | 107.00 Mn |
| 4 | Intuitive Surgical | 142.00 Bn | 121.55 Bn | 1.96 Bn | - |
| 5 | Medtronic | 110.70 Bn | 76.57 Bn | 6.34 Bn | 186.00 Mn |
| 6 | Stryker | 104.72 Bn | 90.84 Bn | 4.50 Bn | 141.00 Mn |
| 7 | Boston Scientific | 62.66 Bn | 57.67 Bn | 3.85 Bn | 96.00 Mn |
| 8 | Edwards Lifesciences | 49.13 Bn | 33.24 Bn | 1.35 Bn | - |
| 9 | Becton Dickinson | 48.51 Bn | 45.66 Bn | 2.32 Bn | 132.00 Mn |
| 10 | LivaNova | 4.11 Bn | 1.77 Bn | 273.67 Mn | 7.18 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 7.18 Mn |
| Mar 31, 2026 | 8.29 Mn |
| Dec 31, 2025 | 10.86 Mn |
| Sep 30, 2025 | 10.86 Mn |
| Jun 30, 2025 | 14.93 Mn |
| Mar 31, 2025 | 15.29 Mn |
| Dec 31, 2024 | 15.77 Mn |
| Sep 30, 2024 | 15.88 Mn |
| Jun 30, 2024 | 15.53 Mn |
| Mar 31, 2024 | 15.89 Mn |
| Dec 31, 2023 | 15.62 Mn |
| Sep 30, 2023 | 14.99 Mn |
| Jun 30, 2023 | 14.81 Mn |
| Mar 31, 2023 | 13.44 Mn |
| Dec 31, 2022 | 13.36 Mn |
| Sep 30, 2022 | 12.66 Mn |
| Jun 30, 2022 | 14.39 Mn |
| Mar 31, 2022 | 7.84 Mn |
| Dec 31, 2021 | 6.35 Mn |
| Sep 30, 2021 | 11.36 Mn |
API Access
LivaNova 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=interest-expenses&ticker=LIVN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "interest-expenses", "ticker": "LIVN", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=interest-expenses&ticker=LIVN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();