LivaNova (LIVN) EBITDA (2015 - 2026)
LivaNova (LIVN) reported EBITDA of $64.9 million for Q2 2026, down 0.9% from $65.5 million a year earlier but up 19.4% from the prior quarter.
LivaNova (LIVN) EBITDA (2015 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, LivaNova's EBITDA came in at $240.14 million, up 11.9% year-over-year; for FY2025, it was $245.65 million, up 50.3% from FY2024.
- By year, EBITDA came in at $163.48 million in FY2024, -$17.55 million in FY2023, -$51.55 million in FY2022 and $25.73 million in FY2021.
- Five-year quarterly EBITDA spans a low of -$125.92 million in Q3 2022 and a high of $66.26 million in Q3 2025.
- Year over year, EBITDA gained in five of the last seven quarters, with growth averaging 77.3%.
- The high point for year-over-year EBITDA in five years was Q3 2021 (growth of 981.8%); the low point was Q1 2023 (a decline of 74.9%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $54.33 million (Q1 2026), $54.65 million (Q4 2025) and $66.26 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 249.71 Bn | 228.86 Bn | 4.88 Bn | 2.90 Bn |
| 2 | Abbott Laboratories | 171.00 Bn | 142.08 Bn | 7.27 Bn | 2.75 Bn |
| 3 | Danaher | 155.79 Bn | 139.61 Bn | 3.61 Bn | 1.79 Bn |
| 4 | Intuitive Surgical | 143.91 Bn | 123.46 Bn | 1.96 Bn | 1.19 Bn |
| 5 | Medtronic | 110.42 Bn | 76.29 Bn | 6.34 Bn | 2.49 Bn |
| 6 | Stryker | 105.71 Bn | 91.82 Bn | 4.50 Bn | 1.96 Bn |
| 7 | Boston Scientific | 63.26 Bn | 58.27 Bn | 3.85 Bn | 1.53 Bn |
| 8 | Edwards Lifesciences | 49.80 Bn | 33.91 Bn | 1.35 Bn | 555.90 Mn |
| 9 | Becton Dickinson | 48.78 Bn | 45.93 Bn | 2.32 Bn | 1.23 Bn |
| 10 | LivaNova | 4.21 Bn | 1.87 Bn | 273.67 Mn | 64.90 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 64.90 Mn |
| Mar 31, 2026 | 54.33 Mn |
| Dec 31, 2025 | 54.65 Mn |
| Sep 30, 2025 | 66.26 Mn |
| Jun 30, 2025 | 65.50 Mn |
| Mar 31, 2025 | 59.25 Mn |
| Dec 31, 2024 | 45.53 Mn |
| Sep 30, 2024 | 44.31 Mn |
| Jun 30, 2024 | 48.74 Mn |
| Mar 31, 2024 | 24.90 Mn |
| Dec 31, 2023 | -81.65 Mn |
| Sep 30, 2023 | 10.84 Mn |
| Jun 30, 2023 | 23.77 Mn |
| Mar 31, 2023 | 4.01 Mn |
| Dec 31, 2022 | 20.19 Mn |
| Sep 30, 2022 | -125.92 Mn |
| Jun 30, 2022 | 38.21 Mn |
| Mar 31, 2022 | 15.97 Mn |
| Dec 31, 2021 | 31.27 Mn |
| Sep 30, 2021 | 23.07 Mn |
LivaNova EBITDA 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=ebitda&ticker=LIVN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=LIVN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();