LivaNova (LIVN) Total Liabilities (2015 - 2026)
LivaNova (LIVN) posted Total Liabilities of $1.32 billion for Q2 2026, down 4.9% from $1.38 billion a year earlier but up 0.8% from the prior quarter.
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Analysis
LivaNova (LIVN) Total Liabilities (2015 - 2026) Analysis & Trends
At the end of FY2025, LivaNova's Total Liabilities came in at $1.41 billion, up 18.5% from FY2024.
- Annual Total Liabilities has increased for four consecutive years, with a five-year compound annual growth rate of 1.7% (FY2020 to FY2025).
- In prior years, LivaNova's Total Liabilities was $1.19 billion in FY2024 (+3.0%), $1.15 billion in FY2023 (+6.0%), $1.09 billion in FY2022 (+20.0%) and $906.31 million in FY2021 (-29.8%).
- Quarterly Total Liabilities has run from a low of $903.91 million in Q3 2021 to a high of $1.52 billion in Q1 2025 over five years.
- On a year-over-year basis, Total Liabilities increased in six of the last eight quarters, with growth averaging 8.1%.
- The strongest year-over-year quarter for Total Liabilities in the past five years was Q1 2025, with growth of 23.1%; the weakest was Q4 2021, with a decline of 29.8%.
- According to Business Quant data, Total Liabilities for the three prior quarters was $1.31 billion (Q1 2026), $1.41 billion (Q4 2025) and $1.4 billion (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 249.71 Bn | 228.86 Bn | 4.88 Bn | 60.49 Bn |
| 2 | Abbott Laboratories | 171.00 Bn | 142.08 Bn | 7.27 Bn | 57.45 Bn |
| 3 | Danaher | 155.79 Bn | 139.61 Bn | 3.61 Bn | 39.78 Bn |
| 4 | Intuitive Surgical | 143.91 Bn | 123.46 Bn | 1.96 Bn | 2.58 Bn |
| 5 | Medtronic | 110.42 Bn | 76.29 Bn | 6.34 Bn | 42.46 Bn |
| 6 | Stryker | 105.71 Bn | 91.82 Bn | 4.50 Bn | 23.94 Bn |
| 7 | Boston Scientific | 63.26 Bn | 58.27 Bn | 3.85 Bn | 20.04 Bn |
| 8 | Edwards Lifesciences | 49.80 Bn | 33.91 Bn | 1.35 Bn | 3.14 Bn |
| 9 | Becton Dickinson | 48.78 Bn | 45.93 Bn | 2.32 Bn | 26.32 Bn |
| 10 | LivaNova | 4.21 Bn | 1.87 Bn | 273.67 Mn | 1.32 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.32 Bn |
| Mar 31, 2026 | 1.31 Bn |
| Dec 31, 2025 | 1.41 Bn |
| Sep 30, 2025 | 1.40 Bn |
| Jun 30, 2025 | 1.38 Bn |
| Mar 31, 2025 | 1.52 Bn |
| Dec 31, 2024 | 1.19 Bn |
| Sep 30, 2024 | 1.21 Bn |
| Jun 30, 2024 | 1.21 Bn |
| Mar 31, 2024 | 1.24 Bn |
| Dec 31, 2023 | 1.15 Bn |
| Sep 30, 2023 | 1.10 Bn |
| Jun 30, 2023 | 1.10 Bn |
| Mar 31, 2023 | 1.07 Bn |
| Dec 31, 2022 | 1.09 Bn |
| Sep 30, 2022 | 1.07 Bn |
| Jun 30, 2022 | 1.05 Bn |
| Mar 31, 2022 | 1.13 Bn |
| Dec 31, 2021 | 906.31 Mn |
| Sep 30, 2021 | 903.91 Mn |
API Access
LivaNova Total 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-liabilities&ticker=LIVN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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-liabilities&ticker=LIVN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();