LivaNova (LIVN) Capital Expenditures (2015 - 2026)
LivaNova's Capital Expenditures was $31.55 million in Q2 2026, up 108.3% from $15.15 million a year earlier and up 120.8% from the prior quarter.
LivaNova (LIVN) Capital Expenditures (2015 - 2026) Analysis & Trends
On a trailing twelve-month basis, LivaNova's Capital Expenditures was $100.95 million through Jun 30, 2026, up 85.3% year-over-year; for FY2025, it was $81.05 million, up 72.1% from FY2024.
- Capital Expenditures has now increased for four consecutive years, with a five-year compound annual growth rate of 18.3% (FY2020 to FY2025).
- In earlier years, Capital Expenditures was $47.11 million in FY2024 (+34.7%), $34.98 million in FY2023 (+31.9%), $26.52 million in FY2022 (+4.1%) and $25.48 million in FY2021 (-27.3%).
- Quarterly Capital Expenditures has moved between $3.27 million (Q3 2021) and $32.23 million (Q4 2025) over five years.
- Compared with a year earlier, Capital Expenditures has increased for six straight quarters, with growth averaging 69.8% over the last eight quarters.
- The best year-over-year quarter for Capital Expenditures over five years was Q4 2025 (growth of 209.8%); the worst was Q3 2021 (a decline of 68.8%).
- Per Business Quant data, LIVN's Capital Expenditures in the three quarters before Q2 2026 was $14.29 million (Q1 2026), $32.23 million (Q4 2025) and $22.88 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Capex (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 249.71 Bn | 228.86 Bn | 4.88 Bn | 450.00 Mn |
| 2 | Abbott Laboratories | 171.00 Bn | 142.08 Bn | 7.27 Bn | 497.00 Mn |
| 3 | Danaher | 155.79 Bn | 139.61 Bn | 3.61 Bn | 269.00 Mn |
| 4 | Intuitive Surgical | 143.91 Bn | 123.46 Bn | 1.96 Bn | 112.60 Mn |
| 5 | Medtronic | 110.42 Bn | 76.29 Bn | 6.34 Bn | 503.00 Mn |
| 6 | Stryker | 105.71 Bn | 91.82 Bn | 4.50 Bn | 202.00 Mn |
| 7 | Boston Scientific | 63.26 Bn | 58.27 Bn | 3.85 Bn | 195.00 Mn |
| 8 | Edwards Lifesciences | 49.80 Bn | 33.91 Bn | 1.35 Bn | 66.90 Mn |
| 9 | Becton Dickinson | 48.78 Bn | 45.93 Bn | 2.32 Bn | 143.00 Mn |
| 10 | LivaNova | 4.21 Bn | 1.87 Bn | 273.67 Mn | 31.55 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 31.55 Mn |
| Mar 31, 2026 | 14.29 Mn |
| Dec 31, 2025 | 32.23 Mn |
| Sep 30, 2025 | 22.88 Mn |
| Jun 30, 2025 | 15.15 Mn |
| Mar 31, 2025 | 10.79 Mn |
| Dec 31, 2024 | 10.41 Mn |
| Sep 30, 2024 | 18.15 Mn |
| Jun 30, 2024 | 12.16 Mn |
| Mar 31, 2024 | 6.40 Mn |
| Dec 31, 2023 | 12.92 Mn |
| Sep 30, 2023 | 8.72 Mn |
| Jun 30, 2023 | 5.66 Mn |
| Mar 31, 2023 | 7.69 Mn |
| Dec 31, 2022 | 9.13 Mn |
| Sep 30, 2022 | 6.04 Mn |
| Jun 30, 2022 | 6.13 Mn |
| Mar 31, 2022 | 5.22 Mn |
| Dec 31, 2021 | 7.59 Mn |
| Sep 30, 2021 | 3.27 Mn |
LivaNova Capital Expenditures 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=capital-expenditures&ticker=LIVN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "capital-expenditures", "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=capital-expenditures&ticker=LIVN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();