LivaNova (LIVN) Total Non-Current Liabilities (2015 - 2026)
LivaNova's Total Non-Current Liabilities came in at $1.16 billion for Q2 2026, down 12.7% from $1.33 billion a year earlier and down 3.3% from the prior quarter.
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Analysis
LivaNova (LIVN) Total Non-Current Liabilities (2015 - 2026) Analysis & Trends
At the end of FY2025, LivaNova's Total Non-Current Liabilities was $1.31 billion, up 19.2% from FY2024.
- Total Non-Current Liabilities has increased in each of the last four years, with a five-year compound annual growth rate of 2.4% (FY2020 to FY2025).
- Going back by year, Total Non-Current Liabilities was $1.1 billion in FY2024 (+2.9%), $1.07 billion in FY2023 (+7.6%), $995.59 million in FY2022 (+21.5%) and $819.48 million in FY2021 (-29.9%).
- The Q2 2026 figure represents the lowest quarterly Total Non-Current Liabilities since Q4 2024.
- Year-over-year, Total Non-Current Liabilities increased in six of the last eight quarters, with growth averaging 8.8%.
- The fastest year-over-year change in Total Non-Current Liabilities over five years came in Q1 2025 (growth of 27.0%), and the weakest in Q4 2021 (a decline of 29.9%).
- Business Quant data shows LIVN's Total Non-Current Liabilities at $1.2 billion (Q1 2026), $1.31 billion (Q4 2025) and $1.34 billion (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 250.71 Bn | 229.74 Bn | 4.88 Bn | 55.95 Bn |
| 2 | Abbott Laboratories | 178.38 Bn | 148.81 Bn | 7.27 Bn | - |
| 3 | Danaher | 161.61 Bn | 145.42 Bn | 3.61 Bn | 33.25 Bn |
| 4 | Intuitive Surgical | 154.15 Bn | 134.44 Bn | 2.08 Bn | - |
| 5 | Medtronic | 123.21 Bn | 88.46 Bn | 6.34 Bn | 38.93 Bn |
| 6 | Stryker | 117.50 Bn | 103.61 Bn | 4.50 Bn | 20.88 Bn |
| 7 | Boston Scientific | 67.50 Bn | 62.26 Bn | 3.85 Bn | 17.56 Bn |
| 8 | Becton Dickinson | 54.80 Bn | 51.95 Bn | 2.32 Bn | 23.92 Bn |
| 9 | Edwards Lifesciences | 51.78 Bn | 35.79 Bn | 1.35 Bn | 2.19 Bn |
| 10 | LivaNova | 4.46 Bn | 2.12 Bn | 273.67 Mn | 1.03 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.03 Bn |
| Mar 31, 2026 | 1.01 Bn |
| Dec 31, 2025 | 1.13 Bn |
| Sep 30, 2025 | 1.24 Bn |
| Jun 30, 2025 | 1.24 Bn |
| Mar 31, 2025 | 1.35 Bn |
| Dec 31, 2024 | 1.01 Bn |
| Sep 30, 2024 | 999.48 Mn |
| Jun 30, 2024 | 979.16 Mn |
| Mar 31, 2024 | 899.36 Mn |
| Dec 31, 2023 | 977.74 Mn |
| Sep 30, 2023 | 914.57 Mn |
| Jun 30, 2023 | 908.99 Mn |
| Mar 31, 2023 | 889.87 Mn |
| Dec 31, 2022 | 778.77 Mn |
| Sep 30, 2022 | 858.54 Mn |
| Jun 30, 2022 | 781.12 Mn |
| Mar 31, 2022 | 821.26 Mn |
| Dec 31, 2021 | 769.57 Mn |
| Sep 30, 2021 | 747.44 Mn |
API Access
LivaNova Total Non-Current Liabilities 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-non-current-liabilities&ticker=LIVN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "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-non-current-liabilities&ticker=LIVN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();