LivaNova (LIVN) Research & Development (2014 - 2026)
LivaNova's Research & Development was $53.66 million in Q2 2026, up 13.7% from $47.19 million a year earlier but down 8.6% from the prior quarter.
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Analysis
LivaNova (LIVN) Research & Development (2014 - 2026) Analysis & Trends
On a trailing twelve-month basis, LivaNova's Research & Development was $213.06 million through Jun 30, 2026, up 20.3% year-over-year; for FY2025, it came in at $185.76 million, up 1.8% from FY2024.
- Research & Development shows a five-year compound annual growth rate of 4.0% (FY2020 to FY2025).
- In earlier years, Research & Development was $182.51 million in FY2024 (-5.8%), $193.82 million in FY2023 (+24.4%), $155.81 million in FY2022 (-15.1%) and $183.41 million in FY2021 (+20.0%).
- Quarterly Research & Development has moved between $34.23 million (Q2 2022) and $58.7 million (Q1 2026) over five years.
- Compared with a year earlier, Research & Development has increased for three straight quarters, with growth averaging 9.5% over the last eight quarters.
- The best year-over-year quarter for Research & Development over five years was Q1 2026 (growth of 55.0%); the worst was Q2 2022 (a decline of 34.9%).
- Per Business Quant data, LIVN's Research & Development in the three quarters before Q2 2026 was $58.7 million (Q1 2026), $52.12 million (Q4 2025) and $48.58 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | R&D (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 249.71 Bn | 228.86 Bn | 4.88 Bn | 364.00 Mn |
| 2 | Abbott Laboratories | 171.00 Bn | 142.08 Bn | 7.27 Bn | 892.00 Mn |
| 3 | Danaher | 155.79 Bn | 139.61 Bn | 3.61 Bn | 412.00 Mn |
| 4 | Intuitive Surgical | 143.91 Bn | 123.46 Bn | 1.96 Bn | 370.60 Mn |
| 5 | Medtronic | 110.42 Bn | 76.29 Bn | 6.34 Bn | 771.00 Mn |
| 6 | Stryker | 105.71 Bn | 91.82 Bn | 4.50 Bn | 434.00 Mn |
| 7 | Boston Scientific | 63.26 Bn | 58.27 Bn | 3.85 Bn | 554.00 Mn |
| 8 | Edwards Lifesciences | 49.80 Bn | 33.91 Bn | 1.35 Bn | 278.90 Mn |
| 9 | Becton Dickinson | 48.78 Bn | 45.93 Bn | 2.32 Bn | 258.00 Mn |
| 10 | LivaNova | 4.21 Bn | 1.87 Bn | 273.67 Mn | 53.66 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 53.66 Mn |
| Mar 31, 2026 | 58.70 Mn |
| Dec 31, 2025 | 52.12 Mn |
| Sep 30, 2025 | 48.58 Mn |
| Jun 30, 2025 | 47.19 Mn |
| Mar 31, 2025 | 37.88 Mn |
| Dec 31, 2024 | 43.31 Mn |
| Sep 30, 2024 | 48.81 Mn |
| Jun 30, 2024 | 44.74 Mn |
| Mar 31, 2024 | 45.66 Mn |
| Dec 31, 2023 | 46.17 Mn |
| Sep 30, 2023 | 46.54 Mn |
| Jun 30, 2023 | 51.12 Mn |
| Mar 31, 2023 | 49.99 Mn |
| Dec 31, 2022 | 44.93 Mn |
| Sep 30, 2022 | 35.73 Mn |
| Jun 30, 2022 | 34.23 Mn |
| Mar 31, 2022 | 40.92 Mn |
| Dec 31, 2021 | 44.10 Mn |
| Sep 30, 2021 | 42.13 Mn |
API Access
LivaNova Research & Development 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=research-and-development&ticker=LIVN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "research-and-development", "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=research-and-development&ticker=LIVN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();