LivaNova (LIVN) Total Debt (2015 - 2026)
LivaNova (LIVN) recorded Total Debt of $293.49 million in Q2 2026, down 31.8% from $430.62 million a year earlier but up 2.0% from the prior quarter.
Analysis
LivaNova (LIVN) Total Debt (2015 - 2026) Analysis & Trends
At the end of FY2025, LivaNova reported Total Debt of $376.66 million, down 40.0% from FY2024.
- Annual Total Debt has a five-year compound annual growth rate of -10.5% (FY2020 to FY2025).
- Across earlier years, Total Debt came in at $627.63 million in FY2024 (+7.0%), $586.65 million in FY2023 (+8.3%), $541.5 million in FY2022 (+126.1%) and $239.52 million in FY2021 (-63.5%).
- Quarterly Total Debt has ranged from $238.57 million in Q3 2021 to $628.79 million in Q1 2025 over the past five years.
- On a year-over-year basis, Total Debt has declined for five consecutive quarters, with an average decline of 21.7% over the last eight quarters.
- Peak year-over-year performance for Total Debt in the last five years was growth of 126.3% in Q3 2022, against a decline of 63.5% in Q4 2021 at the low end.
- Per Business Quant, the preceding three quarters came in at $287.79 million (Q1 2026), $376.66 million (Q4 2025) and $434.47 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Debt (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 249.71 Bn | 228.86 Bn | 4.88 Bn | 42.55 Bn |
| 2 | Abbott Laboratories | 171.00 Bn | 142.08 Bn | 7.27 Bn | 32.61 Bn |
| 3 | Danaher | 155.79 Bn | 139.61 Bn | 3.61 Bn | 26.56 Bn |
| 4 | Intuitive Surgical | 143.91 Bn | 123.46 Bn | 1.96 Bn | - |
| 5 | Medtronic | 110.42 Bn | 76.29 Bn | 6.34 Bn | 28.15 Bn |
| 6 | Stryker | 105.71 Bn | 91.82 Bn | 4.50 Bn | 14.94 Bn |
| 7 | Boston Scientific | 63.26 Bn | 58.27 Bn | 3.85 Bn | 12.62 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 | 16.81 Bn |
| 10 | LivaNova | 4.21 Bn | 1.87 Bn | 273.67 Mn | 293.49 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 293.49 Mn |
| Mar 31, 2026 | 287.79 Mn |
| Dec 31, 2025 | 376.66 Mn |
| Sep 30, 2025 | 434.47 Mn |
| Jun 30, 2025 | 430.62 Mn |
| Mar 31, 2025 | 628.79 Mn |
| Dec 31, 2024 | 627.63 Mn |
| Sep 30, 2024 | 626.24 Mn |
| Jun 30, 2024 | 625.17 Mn |
| Mar 31, 2024 | 624.46 Mn |
| Dec 31, 2023 | 586.65 Mn |
| Sep 30, 2023 | 587.19 Mn |
| Jun 30, 2023 | 587.03 Mn |
| Mar 31, 2023 | 542.50 Mn |
| Dec 31, 2022 | 541.50 Mn |
| Sep 30, 2022 | 539.94 Mn |
| Jun 30, 2022 | 466.03 Mn |
| Mar 31, 2022 | 460.56 Mn |
| Dec 31, 2021 | 239.52 Mn |
| Sep 30, 2021 | 238.57 Mn |
API Access
LivaNova Total 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=total-debt&ticker=LIVN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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=total-debt&ticker=LIVN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();