LivaNova (LIVN) Revenue (2014 - 2026)
LivaNova's Revenue came in at $390.59 million for Q2 2026, up 10.8% from $352.52 million a year earlier and up 7.8% from the prior quarter.
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Analysis
LivaNova (LIVN) Revenue (2014 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, LivaNova reported Revenue of $1.47 billion, up 12.4% year-over-year; for FY2025, it was $1.39 billion, up 10.7% from FY2024.
- Revenue has increased in each of the last three years, with a five-year compound annual growth rate of 8.2% (FY2020 to FY2025).
- Going back by year, Revenue was $1.25 billion in FY2024 (+8.7%), $1.15 billion in FY2023 (+12.9%), $1.02 billion in FY2022 (-1.3%) and $1.04 billion in FY2021 (+10.8%).
- The Q2 2026 figure represents the highest quarterly Revenue in data going back to Q1 2016.
- Year-over-year, Revenue has increased for 15 consecutive quarters, with growth averaging 10.3% over the last eight quarters.
- The fastest year-over-year change in Revenue over five years came in Q2 2023 (growth of 15.6%), and the weakest in Q2 2022 (a decline of 3.9%).
- Business Quant data shows LIVN's Revenue at $362.26 million (Q1 2026), $360.92 million (Q4 2025) and $357.75 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Revenue (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 249.71 Bn | 228.86 Bn | 4.88 Bn | 11.99 Bn |
| 2 | Abbott Laboratories | 171.00 Bn | 142.08 Bn | 7.27 Bn | 12.59 Bn |
| 3 | Danaher | 155.79 Bn | 139.61 Bn | 3.61 Bn | 6.27 Bn |
| 4 | Intuitive Surgical | 143.91 Bn | 123.46 Bn | 1.96 Bn | 2.89 Bn |
| 5 | Medtronic | 110.42 Bn | 76.29 Bn | 6.34 Bn | 9.76 Bn |
| 6 | Stryker | 105.71 Bn | 91.82 Bn | 4.50 Bn | 6.59 Bn |
| 7 | Boston Scientific | 63.26 Bn | 58.27 Bn | 3.85 Bn | 5.44 Bn |
| 8 | Edwards Lifesciences | 49.80 Bn | 33.91 Bn | 1.35 Bn | 1.74 Bn |
| 9 | Becton Dickinson | 48.78 Bn | 45.93 Bn | 2.32 Bn | 4.98 Bn |
| 10 | LivaNova | 4.21 Bn | 1.87 Bn | 273.67 Mn | 390.59 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 390.59 Mn |
| Mar 31, 2026 | 362.26 Mn |
| Dec 31, 2025 | 360.92 Mn |
| Sep 30, 2025 | 357.75 Mn |
| Jun 30, 2025 | 352.52 Mn |
| Mar 31, 2025 | 316.86 Mn |
| Dec 31, 2024 | 321.83 Mn |
| Sep 30, 2024 | 318.12 Mn |
| Jun 30, 2024 | 318.58 Mn |
| Mar 31, 2024 | 294.91 Mn |
| Dec 31, 2023 | 310.13 Mn |
| Sep 30, 2023 | 286.11 Mn |
| Jun 30, 2023 | 293.88 Mn |
| Mar 31, 2023 | 263.42 Mn |
| Dec 31, 2022 | 274.87 Mn |
| Sep 30, 2022 | 252.61 Mn |
| Jun 30, 2022 | 254.15 Mn |
| Mar 31, 2022 | 240.18 Mn |
| Dec 31, 2021 | 270.06 Mn |
| Sep 30, 2021 | 253.22 Mn |
API Access
LivaNova Revenue 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=revenue&ticker=LIVN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "revenue", "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=revenue&ticker=LIVN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();