LivaNova (LIVN) EV to EBIT (2016 - 2026)
LivaNova's (LIVN) EV to EBIT came in at 21.38 for Q2 2026, up 101.3% from 10.62 a year earlier and up 39.4% from the prior quarter.
LivaNova (LIVN) EV to EBIT (2016 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, EV to EBIT at LivaNova was 11.67, up 484.5% year-over-year; for FY2025, it was 13.68, down 15.5% from FY2024.
- In prior years, LivaNova's EV to EBIT was 16.18 in FY2024.
- The Q2 2026 figure stands as the highest quarterly EV to EBIT since Q3 2024.
- On a year-over-year basis, EV to EBIT increased in three of the last five quarters, with growth averaging 151.6%.
- According to Business Quant data, EV to EBIT for the three prior quarters was 15.34 (Q1 2026), 13.68 (Q4 2025) and 11.42 (Q3 2025).
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
| Date | Value |
|---|---|
| Jun 30, 2026 | 21.38 |
| Mar 31, 2026 | 15.34 |
| Dec 31, 2025 | 13.68 |
| Sep 30, 2025 | 11.42 |
| Jun 30, 2025 | 10.62 |
| Mar 31, 2025 | 8.69 |
| Dec 31, 2024 | 16.18 |
| Sep 30, 2024 | 620.44 |
| Sep 30, 2023 | 78.15 |
| Jun 30, 2022 | 39.22 |
| Mar 31, 2022 | 294.33 |
| Sep 30, 2018 | 125.84 |
| Jun 30, 2018 | 57.79 |
| Mar 31, 2018 | 47.28 |
| Dec 31, 2017 | 39.03 |
| Sep 30, 2017 | 52.85 |
| Jun 30, 2017 | 46.10 |
| Mar 31, 2017 | 38.10 |
| Dec 31, 2016 | 67.43 |
| Sep 30, 2016 | 144.10 |
LivaNova EV to EBIT 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=ev-to-ebit&ticker=LIVN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-ebit", "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=ev-to-ebit&ticker=LIVN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();