LivaNova (LIVN) Non Operating Interest Expenses (2015 - 2026)
LivaNova's Non Operating Interest Expenses was $7.18 million in Q2 2026, down 51.9% from $14.93 million a year earlier and down 13.4% from the prior quarter.
LivaNova (LIVN) Non Operating Interest Expenses (2015 - 2026) Analysis & Trends
On a trailing twelve-month basis, LivaNova's Non Operating Interest Expenses was $37.19 million through Jun 30, 2026, down 39.9% year-over-year; for FY2025, it came in at $49.29 million, down 21.9% from FY2024.
- Non Operating Interest Expenses shows a five-year compound annual growth rate of 3.8% (FY2020 to FY2025).
- In earlier years, Non Operating 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 marks the lowest quarterly Non Operating Interest Expenses since Q4 2021.
- Compared with a year earlier, Non Operating Interest Expenses has declined for six straight quarters, with an average decline of 20.2% over the last eight quarters.
- The best year-over-year quarter for Non Operating Interest Expenses over five years was Q4 2022 (growth of 110.6%); the worst was Q4 2021 (a decline of 59.3%).
- Per Business Quant data, LIVN's Non Operating Interest Expenses in the three quarters before Q2 2026 was $8.29 million (Q1 2026), $10.86 million (Q4 2025) and $10.86 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Operating Interest Expenses (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 242.18 Bn | 221.33 Bn | 4.88 Bn | 401.00 Mn |
| 2 | Abbott Laboratories | 168.71 Bn | 139.79 Bn | 7.27 Bn | 351.00 Mn |
| 3 | Danaher | 150.46 Bn | 134.27 Bn | 3.61 Bn | 107.00 Mn |
| 4 | Intuitive Surgical | 138.71 Bn | 118.26 Bn | 1.96 Bn | - |
| 5 | Medtronic | 110.54 Bn | 76.41 Bn | 6.34 Bn | 186.00 Mn |
| 6 | Stryker | 105.66 Bn | 91.78 Bn | 4.50 Bn | 141.00 Mn |
| 7 | Boston Scientific | 61.74 Bn | 56.75 Bn | 3.85 Bn | 96.00 Mn |
| 8 | Edwards Lifesciences | 49.09 Bn | 33.21 Bn | 1.35 Bn | - |
| 9 | Becton Dickinson | 48.16 Bn | 45.31 Bn | 2.32 Bn | 132.00 Mn |
| 10 | LivaNova | 4.13 Bn | 1.79 Bn | 273.67 Mn | 7.18 Mn |
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 |
LivaNova 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=LIVN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-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=non-operating-interest-expenses&ticker=LIVN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();