LivaNova (LIVN) Operating Expenses (2014 - 2026)
LivaNova (LIVN) reported Operating Expenses of $211.79 million for Q2 2026, up 14.5% from $184.97 million a year earlier and up 4.7% from the prior quarter.
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Analysis
LivaNova (LIVN) Operating Expenses (2014 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, LivaNova's Operating Expenses came in at $796.64 million, up 13.5% year-over-year; for FY2025, it came in at $734.58 million, up 6.2% from FY2024.
- Operating Expenses has a five-year compound annual growth rate of 3.9% (FY2020 to FY2025).
- By year, Operating Expenses came in at $691.39 million in FY2024 (-0.7%), $696.52 million in FY2023 (+11.4%), $625.05 million in FY2022 (-4.6%) and $655.32 million in FY2021 (+8.0%).
- The Q2 2026 figure ranks as the highest quarterly Operating Expenses in data going back to Q4 2015.
- Year over year, Operating Expenses has now increased in each of the last five quarters, with growth averaging 8.0% over the last eight quarters.
- The high point for year-over-year Operating Expenses in five years was Q1 2026 (growth of 21.1%); the low point was Q2 2022 (a decline of 14.0%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $202.26 million (Q1 2026), $195.49 million (Q4 2025) and $187.1 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 249.71 Bn | 228.86 Bn | 4.88 Bn | 9.91 Bn |
| 2 | Abbott Laboratories | 171.00 Bn | 142.08 Bn | 7.27 Bn | 10.90 Bn |
| 3 | Danaher | 155.79 Bn | 139.61 Bn | 3.61 Bn | 2.48 Bn |
| 4 | Intuitive Surgical | 143.91 Bn | 123.46 Bn | 1.96 Bn | 988.50 Mn |
| 5 | Medtronic | 110.42 Bn | 76.29 Bn | 6.34 Bn | 4.06 Bn |
| 6 | Stryker | 105.71 Bn | 91.82 Bn | 4.50 Bn | 2.84 Bn |
| 7 | Boston Scientific | 63.26 Bn | 58.27 Bn | 3.85 Bn | 2.67 Bn |
| 8 | Edwards Lifesciences | 49.80 Bn | 33.91 Bn | 1.35 Bn | 840.10 Mn |
| 9 | Becton Dickinson | 48.78 Bn | 45.93 Bn | 2.32 Bn | 4.32 Bn |
| 10 | LivaNova | 4.21 Bn | 1.87 Bn | 273.67 Mn | 211.79 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 211.79 Mn |
| Mar 31, 2026 | 202.26 Mn |
| Dec 31, 2025 | 195.49 Mn |
| Sep 30, 2025 | 187.10 Mn |
| Jun 30, 2025 | 184.97 Mn |
| Mar 31, 2025 | 167.03 Mn |
| Dec 31, 2024 | 173.95 Mn |
| Sep 30, 2024 | 176.23 Mn |
| Jun 30, 2024 | 169.87 Mn |
| Mar 31, 2024 | 171.35 Mn |
| Dec 31, 2023 | 164.07 Mn |
| Sep 30, 2023 | 181.34 Mn |
| Jun 30, 2023 | 177.00 Mn |
| Mar 31, 2023 | 174.12 Mn |
| Dec 31, 2022 | 164.54 Mn |
| Sep 30, 2022 | 150.36 Mn |
| Jun 30, 2022 | 150.71 Mn |
| Mar 31, 2022 | 159.44 Mn |
| Dec 31, 2021 | 168.53 Mn |
| Sep 30, 2021 | 151.18 Mn |
API Access
LivaNova Operating Expenses 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-expenses&ticker=LIVN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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-expenses&ticker=LIVN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();