LivaNova (LIVN) Non-Current Debt (2015 - 2026)
LivaNova (LIVN) recorded Non-Current Debt of $289.91 million in Q2 2026, down 16.8% from $348.49 million a year earlier but up 1.7% from the prior quarter.
LivaNova (LIVN) Non-Current Debt (2015 - 2026) Analysis & Trends
At the end of FY2025, LivaNova reported Non-Current Debt of $345.19 million, down 37.2% from FY2024.
- Annual Non-Current Debt has a five-year compound annual growth rate of -11.7% (FY2020 to FY2025).
- Across earlier years, Non-Current Debt came in at $549.62 million in FY2024 (-3.3%), $568.54 million in FY2023 (+9.7%), $518.07 million in FY2022 and $9.85 million in FY2021 (-98.5%).
- Quarterly Non-Current Debt has ranged from $9.85 million in Q4 2021 to $605.43 million in Q2 2024 over the past five years.
- On a year-over-year basis, Non-Current Debt has declined for seven consecutive quarters, with an average decline of 24.1% over the last eight quarters.
- Peak year-over-year performance for Non-Current Debt in the last five years was growth of 23.5% in Q2 2023, against a decline of 98.5% in Q4 2021 at the low end.
- Per Business Quant, the preceding three quarters came in at $285.16 million (Q1 2026), $345.19 million (Q4 2025) and $349.03 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Debt (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 249.71 Bn | 228.86 Bn | 4.88 Bn | 39.18 Bn |
| 2 | Abbott Laboratories | 171.00 Bn | 142.08 Bn | 7.27 Bn | 29.60 Bn |
| 3 | Danaher | 155.79 Bn | 139.61 Bn | 3.61 Bn | 25.15 Bn |
| 4 | Intuitive Surgical | 143.91 Bn | 123.46 Bn | 1.96 Bn | - |
| 5 | Medtronic | 110.42 Bn | 76.29 Bn | 6.34 Bn | 25.62 Bn |
| 6 | Stryker | 105.71 Bn | 91.82 Bn | 4.50 Bn | 14.19 Bn |
| 7 | Boston Scientific | 63.26 Bn | 58.27 Bn | 3.85 Bn | 10.92 Bn |
| 8 | Edwards Lifesciences | 49.80 Bn | 33.91 Bn | 1.35 Bn | 598.70 Mn |
| 9 | Becton Dickinson | 48.78 Bn | 45.93 Bn | 2.32 Bn | 13.51 Bn |
| 10 | LivaNova | 4.21 Bn | 1.87 Bn | 273.67 Mn | 289.91 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 289.91 Mn |
| Mar 31, 2026 | 285.16 Mn |
| Dec 31, 2025 | 345.19 Mn |
| Sep 30, 2025 | 349.03 Mn |
| Jun 30, 2025 | 348.49 Mn |
| Mar 31, 2025 | 549.22 Mn |
| Dec 31, 2024 | 549.62 Mn |
| Sep 30, 2024 | 604.29 Mn |
| Jun 30, 2024 | 605.43 Mn |
| Mar 31, 2024 | 604.75 Mn |
| Dec 31, 2023 | 568.54 Mn |
| Sep 30, 2023 | 568.16 Mn |
| Jun 30, 2023 | 567.95 Mn |
| Mar 31, 2023 | 520.20 Mn |
| Dec 31, 2022 | 518.07 Mn |
| Sep 30, 2022 | 518.25 Mn |
| Jun 30, 2022 | 459.79 Mn |
| Mar 31, 2022 | 455.81 Mn |
| Dec 31, 2021 | 9.85 Mn |
| Sep 30, 2021 | 10.80 Mn |
LivaNova Non-Current Debt 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-current-debt&ticker=LIVN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-debt", "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-current-debt&ticker=LIVN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();