LivaNova (LIVN) Operating Leases (2019 - 2026)
LivaNova (LIVN) posted Operating Leases of $49.67 million for Q2 2026, up 16.1% from $42.78 million a year earlier and up 6.4% from the prior quarter.
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Analysis
LivaNova (LIVN) Operating Leases (2019 - 2026) Analysis & Trends
At the end of FY2025, LivaNova's Operating Leases came in at $48.33 million, up 20.5% from FY2024.
- Annual Operating Leases shows a five-year compound annual growth rate of 2.7% (FY2020 to FY2025).
- In prior years, LivaNova's Operating Leases was $40.11 million in FY2024 (-11.6%), $45.39 million in FY2023 (+53.6%), $29.55 million in FY2022 (-17.7%) and $35.92 million in FY2021 (-14.9%).
- The Q2 2026 figure stands as the highest quarterly Operating Leases in data going back to Q1 2019.
- On a year-over-year basis, Operating Leases has increased in each of the last three quarters, with growth averaging 13.0% over the last eight quarters.
- The strongest year-over-year quarter for Operating Leases in the past five years was Q3 2024, with growth of 75.0%; the weakest was Q1 2022, with a decline of 27.1%.
- According to Business Quant data, Operating Leases for the three prior quarters was $46.7 million (Q1 2026), $48.33 million (Q4 2025) and $43.08 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 249.71 Bn | 228.86 Bn | 4.88 Bn |
| 2 | Abbott Laboratories | 171.00 Bn | 142.08 Bn | 7.27 Bn |
| 3 | Danaher | 155.79 Bn | 139.61 Bn | 3.61 Bn |
| 4 | Intuitive Surgical | 143.91 Bn | 123.46 Bn | 1.96 Bn |
| 5 | Medtronic | 110.42 Bn | 76.29 Bn | 6.34 Bn |
| 6 | Stryker | 105.71 Bn | 91.82 Bn | 4.50 Bn |
| 7 | Boston Scientific | 63.26 Bn | 58.27 Bn | 3.85 Bn |
| 8 | Edwards Lifesciences | 49.80 Bn | 33.91 Bn | 1.35 Bn |
| 9 | Becton Dickinson | 48.78 Bn | 45.93 Bn | 2.32 Bn |
| 10 | LivaNova | 4.21 Bn | 1.87 Bn | 273.67 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 49.67 Mn |
| Mar 31, 2026 | 46.70 Mn |
| Dec 31, 2025 | 48.33 Mn |
| Sep 30, 2025 | 43.08 Mn |
| Jun 30, 2025 | 42.78 Mn |
| Mar 31, 2025 | 40.33 Mn |
| Dec 31, 2024 | 40.11 Mn |
| Sep 30, 2024 | 44.08 Mn |
| Jun 30, 2024 | 43.51 Mn |
| Mar 31, 2024 | 43.72 Mn |
| Dec 31, 2023 | 45.39 Mn |
| Sep 30, 2023 | 25.19 Mn |
| Jun 30, 2023 | 27.23 Mn |
| Mar 31, 2023 | 28.78 Mn |
| Dec 31, 2022 | 29.55 Mn |
| Sep 30, 2022 | 28.24 Mn |
| Jun 30, 2022 | 31.86 Mn |
| Mar 31, 2022 | 30.88 Mn |
| Dec 31, 2021 | 35.92 Mn |
| Sep 30, 2021 | 38.69 Mn |
API Access
LivaNova Operating Leases 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=operating-leases&ticker=LIVN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-leases", "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=operating-leases&ticker=LIVN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();