LivaNova (LIVN) Return on Capital Employed [ROCE] (2016 - 2026)
LivaNova's Return on Capital Employed [ROCE] came in at 10.02% for Q2 2026, down 0.27 percentage points from 10.29% a year earlier and down 0.67 percentage points from the prior quarter.
LivaNova (LIVN) Return on Capital Employed [ROCE] (2016 - 2026) Analysis & Trends
For FY2025, LivaNova's Return on Capital Employed [ROCE] was 11.41%, up 5.19 percentage points from FY2024.
- Return on Capital Employed [ROCE] has increased in each of the last three years, with a five-year change of +24.47 percentage points (FY2020 to FY2025).
- Going back by year, Return on Capital Employed [ROCE] was 6.22% in FY2024 (+9.60 pp), -3.38% in FY2023 (+0.56 pp), -3.94% in FY2022 (-3.89 pp) and -0.05% in FY2021 (+13.01 pp).
- The Q2 2026 figure represents the lowest quarterly Return on Capital Employed [ROCE] since Q1 2025.
- Year-over-year, Return on Capital Employed [ROCE] increased in six of the last eight quarters, with an average year-over-year change of +6.08 percentage points.
- The fastest year-over-year change in Return on Capital Employed [ROCE] over five years came in Q2 2022 (a gain of 21.67 percentage points), and the weakest in Q3 2021 (a drop of 9.16 percentage points).
- Business Quant data shows LIVN's Return on Capital Employed [ROCE] at 10.69% (Q1 2026), 11.24% (Q4 2025) and 11.37% (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROCE (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 242.18 Bn | 221.33 Bn | 4.88 Bn | 8.30% |
| 2 | Abbott Laboratories | 168.71 Bn | 139.79 Bn | 7.27 Bn | 7.98% |
| 3 | Danaher | 150.46 Bn | 134.27 Bn | 3.61 Bn | 6.42% |
| 4 | Intuitive Surgical | 138.71 Bn | 118.26 Bn | 1.96 Bn | 18.58% |
| 5 | Medtronic | 110.54 Bn | 76.41 Bn | 6.34 Bn | 8.34% |
| 6 | Stryker | 105.66 Bn | 91.78 Bn | 4.50 Bn | 13.69% |
| 7 | Boston Scientific | 61.74 Bn | 56.75 Bn | 3.85 Bn | 10.83% |
| 8 | Edwards Lifesciences | 49.09 Bn | 33.21 Bn | 1.35 Bn | 11.99% |
| 9 | Becton Dickinson | 48.16 Bn | 45.31 Bn | 2.32 Bn | 6.00% |
| 10 | LivaNova | 4.13 Bn | 1.79 Bn | 273.67 Mn | 10.02% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 10.02% |
| Mar 31, 2026 | 10.69% |
| Dec 31, 2025 | 11.24% |
| Sep 30, 2025 | 11.37% |
| Jun 30, 2025 | 10.29% |
| Mar 31, 2025 | 9.01% |
| Dec 31, 2024 | 6.08% |
| Sep 30, 2024 | 0.19% |
| Jun 30, 2024 | -1.26% |
| Mar 31, 2024 | -2.36% |
| Dec 31, 2023 | -3.35% |
| Sep 30, 2023 | 1.64% |
| Jun 30, 2023 | -5.07% |
| Mar 31, 2023 | -4.48% |
| Dec 31, 2022 | -3.92% |
| Sep 30, 2022 | -3.32% |
| Jun 30, 2022 | 3.90% |
| Mar 31, 2022 | 0.72% |
| Dec 31, 2021 | -0.05% |
| Sep 30, 2021 | -16.73% |
LivaNova Return on Capital Employed [ROCE] 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=return-on-capital-employed-%5Broce%5D&ticker=LIVN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-capital-employed-[roce]", "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=return-on-capital-employed-%5Broce%5D&ticker=LIVN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();