LivaNova (LIVN) Accumulated Expenses (2015 - 2026)
LivaNova (LIVN) reported Accumulated Expenses of $103.83 million for Q2 2026, up 0.6% from $103.24 million a year earlier and up 1.2% from the prior quarter.
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Analysis
LivaNova (LIVN) Accumulated Expenses (2015 - 2026) Analysis & Trends
At the end of FY2025, LivaNova posted Accumulated Expenses of $94.57 million, down 20.2% from FY2024.
- Accumulated Expenses has a five-year compound annual growth rate of 1.4% (FY2020 to FY2025).
- By year, Accumulated Expenses came in at $118.49 million in FY2024 (+10.4%), $107.3 million in FY2023 (+31.7%), $81.48 million in FY2022 (-8.4%) and $88.94 million in FY2021 (+1.0%).
- The Q2 2026 figure ranks as the highest quarterly Accumulated Expenses since Q1 2025.
- Year over year, Accumulated Expenses gained in five of the last eight quarters, with growth averaging 1.4%.
- The high point for year-over-year Accumulated Expenses in five years was Q4 2023 (growth of 31.7%); the low point was Q4 2025 (a decline of 20.2%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $102.65 million (Q1 2026), $94.57 million (Q4 2025) and $92.23 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 242.18 Bn | 221.33 Bn | 4.88 Bn |
| 2 | Abbott Laboratories | 168.71 Bn | 139.79 Bn | 7.27 Bn |
| 3 | Danaher | 150.46 Bn | 134.27 Bn | 3.61 Bn |
| 4 | Intuitive Surgical | 138.71 Bn | 118.26 Bn | 1.96 Bn |
| 5 | Medtronic | 110.54 Bn | 76.41 Bn | 6.34 Bn |
| 6 | Stryker | 105.66 Bn | 91.78 Bn | 4.50 Bn |
| 7 | Boston Scientific | 61.74 Bn | 56.75 Bn | 3.85 Bn |
| 8 | Edwards Lifesciences | 49.09 Bn | 33.21 Bn | 1.35 Bn |
| 9 | Becton Dickinson | 48.16 Bn | 45.31 Bn | 2.32 Bn |
| 10 | LivaNova | 4.13 Bn | 1.79 Bn | 273.67 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 103.83 Mn |
| Mar 31, 2026 | 102.65 Mn |
| Dec 31, 2025 | 94.57 Mn |
| Sep 30, 2025 | 92.23 Mn |
| Jun 30, 2025 | 103.24 Mn |
| Mar 31, 2025 | 108.44 Mn |
| Dec 31, 2024 | 118.49 Mn |
| Sep 30, 2024 | 104.52 Mn |
| Jun 30, 2024 | 97.97 Mn |
| Mar 31, 2024 | 94.03 Mn |
| Dec 31, 2023 | 107.30 Mn |
| Sep 30, 2023 | 89.68 Mn |
| Jun 30, 2023 | 82.04 Mn |
| Mar 31, 2023 | 96.35 Mn |
| Dec 31, 2022 | 81.48 Mn |
| Sep 30, 2022 | 79.01 Mn |
| Jun 30, 2022 | 83.95 Mn |
| Mar 31, 2022 | 92.03 Mn |
| Dec 31, 2021 | 88.94 Mn |
| Sep 30, 2021 | 97.50 Mn |
API Access
LivaNova Accumulated 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=accumulated-expenses&ticker=LIVN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-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=accumulated-expenses&ticker=LIVN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();