LivaNova (LIVN) Cash & Equivalents (2014 - 2026)
LivaNova's Cash & Equivalents came in at $516.62 million for Q2 2026, down 13.0% from $593.64 million a year earlier and down 4.3% from the prior quarter.
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Analysis
LivaNova (LIVN) Cash & Equivalents (2014 - 2026) Analysis & Trends
At the end of FY2025, LivaNova's Cash & Equivalents was $635.55 million, up 48.2% from FY2024.
- Cash & Equivalents has increased in each of the last four years, with a five-year compound annual growth rate of 20.2% (FY2020 to FY2025).
- Going back by year, Cash & Equivalents was $428.86 million in FY2024 (+60.9%), $266.5 million in FY2023 (+24.4%), $214.17 million in FY2022 (+3.0%) and $207.99 million in FY2021 (-17.7%).
- The Q2 2026 figure represents the lowest quarterly Cash & Equivalents since Q4 2024.
- Year-over-year, Cash & Equivalents increased in six of the last eight quarters, with growth averaging 52.9%.
- The fastest year-over-year change in Cash & Equivalents over five years came in Q1 2025 (growth of 138.8%), and the weakest in Q2 2022 (a decline of 66.9%).
- Business Quant data shows LIVN's Cash & Equivalents at $539.71 million (Q1 2026), $635.55 million (Q4 2025) and $646.08 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 242.18 Bn | 221.33 Bn | 4.88 Bn | 4.06 Bn |
| 2 | Abbott Laboratories | 168.71 Bn | 139.79 Bn | 7.27 Bn | 5.10 Bn |
| 3 | Danaher | 150.46 Bn | 134.27 Bn | 3.61 Bn | 4.35 Bn |
| 4 | Intuitive Surgical | 138.71 Bn | 118.26 Bn | 1.96 Bn | 2.76 Bn |
| 5 | Medtronic | 110.54 Bn | 76.41 Bn | 6.34 Bn | 1.69 Bn |
| 6 | Stryker | 105.66 Bn | 91.78 Bn | 4.50 Bn | 3.39 Bn |
| 7 | Boston Scientific | 61.74 Bn | 56.75 Bn | 3.85 Bn | 539.00 Mn |
| 8 | Edwards Lifesciences | 49.09 Bn | 33.21 Bn | 1.35 Bn | 2.91 Bn |
| 9 | Becton Dickinson | 48.16 Bn | 45.31 Bn | 2.32 Bn | 708.00 Mn |
| 10 | LivaNova | 4.13 Bn | 1.79 Bn | 273.67 Mn | 516.62 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 516.62 Mn |
| Mar 31, 2026 | 539.71 Mn |
| Dec 31, 2025 | 635.55 Mn |
| Sep 30, 2025 | 646.08 Mn |
| Jun 30, 2025 | 593.64 Mn |
| Mar 31, 2025 | 738.44 Mn |
| Dec 31, 2024 | 428.86 Mn |
| Sep 30, 2024 | 346.37 Mn |
| Jun 30, 2024 | 329.24 Mn |
| Mar 31, 2024 | 309.19 Mn |
| Dec 31, 2023 | 266.50 Mn |
| Sep 30, 2023 | 233.94 Mn |
| Jun 30, 2023 | 222.94 Mn |
| Mar 31, 2023 | 214.34 Mn |
| Dec 31, 2022 | 214.17 Mn |
| Sep 30, 2022 | 231.11 Mn |
| Jun 30, 2022 | 109.02 Mn |
| Mar 31, 2022 | 128.74 Mn |
| Dec 31, 2021 | 207.99 Mn |
| Sep 30, 2021 | 181.85 Mn |
API Access
LivaNova Cash & Equivalents 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=cash-and-equivalents&ticker=LIVN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=LIVN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();