LivaNova (LIVN) Other Non-Current Liabilities (2015 - 2026)
LivaNova's Other Non-Current Liabilities came in at $152.9 million for Q2 2026, up 190.1% from $52.7 million a year earlier and up 48.8% from the prior quarter.
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Analysis
LivaNova (LIVN) Other Non-Current Liabilities (2015 - 2026) Analysis & Trends
At the end of FY2025, LivaNova's Other Non-Current Liabilities was $92.08 million, up 9.3% from FY2024.
- Other Non-Current Liabilities carries a five-year compound annual growth rate of -5.5% (FY2020 to FY2025).
- Going back by year, Other Non-Current Liabilities was $84.22 million in FY2024 (+4.1%), $80.9 million in FY2023 (-11.6%), $91.56 million in FY2022 (+5.4%) and $86.83 million in FY2021 (-28.8%).
- The Q2 2026 figure represents the highest quarterly Other Non-Current Liabilities since Q1 2022.
- Year-over-year, Other Non-Current Liabilities has increased for three consecutive quarters, with growth averaging 15.7% over the last eight quarters.
- The fastest year-over-year change in Other Non-Current Liabilities over five years came in Q2 2026 (growth of 190.1%), and the weakest in Q2 2025 (a decline of 50.0%).
- Business Quant data shows LIVN's Other Non-Current Liabilities at $102.73 million (Q1 2026), $92.08 million (Q4 2025) and $64.52 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 250.06 Bn | 229.21 Bn | 4.88 Bn |
| 2 | Abbott Laboratories | 177.62 Bn | 148.71 Bn | 7.27 Bn |
| 3 | Danaher | 161.58 Bn | 145.40 Bn | 3.61 Bn |
| 4 | Intuitive Surgical | 153.84 Bn | 134.26 Bn | 2.08 Bn |
| 5 | Medtronic | 123.63 Bn | 89.50 Bn | 6.34 Bn |
| 6 | Stryker | 117.79 Bn | 103.90 Bn | 4.50 Bn |
| 7 | Boston Scientific | 66.71 Bn | 61.72 Bn | 3.85 Bn |
| 8 | Becton Dickinson | 54.60 Bn | 51.75 Bn | 2.32 Bn |
| 9 | Edwards Lifesciences | 51.95 Bn | 36.07 Bn | 1.35 Bn |
| 10 | LivaNova | 4.47 Bn | 2.14 Bn | 273.67 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 287.80 Mn |
| Mar 31, 2026 | 293.50 Mn |
| Dec 31, 2025 | 273.39 Mn |
| Sep 30, 2025 | 157.02 Mn |
| Jun 30, 2025 | 140.45 Mn |
| Mar 31, 2025 | 169.66 Mn |
| Dec 31, 2024 | 180.52 Mn |
| Sep 30, 2024 | 212.44 Mn |
| Jun 30, 2024 | 231.48 Mn |
| Mar 31, 2024 | 338.70 Mn |
| Dec 31, 2023 | 174.20 Mn |
| Sep 30, 2023 | 189.37 Mn |
| Jun 30, 2023 | 191.96 Mn |
| Mar 31, 2023 | 177.67 Mn |
| Dec 31, 2022 | 308.38 Mn |
| Sep 30, 2022 | 207.38 Mn |
| Jun 30, 2022 | 273.12 Mn |
| Mar 31, 2022 | 303.77 Mn |
| Dec 31, 2021 | 136.74 Mn |
| Sep 30, 2021 | 156.48 Mn |
API Access
LivaNova Other 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=other-non-current-liabilities&ticker=LIVN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-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=other-non-current-liabilities&ticker=LIVN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();