LivaNova (LIVN) Return on Sales [ROS] (2014 - 2026)
LivaNova (LIVN) recorded Return on Sales [ROS] of 12.67% in Q2 2026, down 2.70 percentage points from 15.37% a year earlier but up 1.22 percentage points from the prior quarter.
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Analysis
LivaNova (LIVN) Return on Sales [ROS] (2014 - 2026) Analysis & Trends
On a TTM basis, LivaNova's Return on Sales [ROS] came in at 12.74% as of Jun 30, 2026, down 0.65 percentage points year-over-year; for FY2025, it came in at 14.36%, up 4.07 percentage points from FY2024.
- Annual Return on Sales [ROS] has increased for three straight years, with a five-year change of +43.68 percentage points (FY2020 to FY2025).
- Across earlier years, Return on Sales [ROS] came in at 10.30% in FY2024 (+16.23 pp), -5.94% in FY2023 (+1.57 pp), -7.51% in FY2022 (-7.44 pp) and -0.08% in FY2021 (+29.24 pp).
- Quarterly Return on Sales [ROS] has ranged from -52.24% in Q3 2022 to 15.37% in Q2 2025 over the past five years.
- On a year-over-year basis, Return on Sales [ROS] rose in six of the last eight quarters, with an average year-over-year change of +7.46 percentage points.
- Peak year-over-year performance for Return on Sales [ROS] in the last five years was a gain of 101.55 percentage points in Q4 2021, against a drop of 58.73 percentage points in Q3 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at 11.45% (Q1 2026), 11.80% (Q4 2025) and 15.10% (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 242.18 Bn | 221.33 Bn | 4.88 Bn | 17.40% |
| 2 | Abbott Laboratories | 168.71 Bn | 139.79 Bn | 7.27 Bn | 13.44% |
| 3 | Danaher | 150.46 Bn | 134.27 Bn | 3.61 Bn | 17.99% |
| 4 | Intuitive Surgical | 138.71 Bn | 118.26 Bn | 1.96 Bn | 33.60% |
| 5 | Medtronic | 110.54 Bn | 76.41 Bn | 6.34 Bn | 18.08% |
| 6 | Stryker | 105.66 Bn | 91.78 Bn | 4.50 Bn | 25.18% |
| 7 | Boston Scientific | 61.74 Bn | 56.75 Bn | 3.85 Bn | 21.65% |
| 8 | Edwards Lifesciences | 49.09 Bn | 33.21 Bn | 1.35 Bn | 29.48% |
| 9 | Becton Dickinson | 48.16 Bn | 45.31 Bn | 2.32 Bn | 13.31% |
| 10 | LivaNova | 4.13 Bn | 1.79 Bn | 273.67 Mn | 12.67% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 12.67% |
| Mar 31, 2026 | 11.45% |
| Dec 31, 2025 | 11.80% |
| Sep 30, 2025 | 15.10% |
| Jun 30, 2025 | 15.37% |
| Mar 31, 2025 | 15.34% |
| Dec 31, 2024 | 11.50% |
| Sep 30, 2024 | 11.20% |
| Jun 30, 2024 | 12.61% |
| Mar 31, 2024 | 5.51% |
| Dec 31, 2023 | -28.37% |
| Sep 30, 2023 | 1.56% |
| Jun 30, 2023 | 5.91% |
| Mar 31, 2023 | -0.89% |
| Dec 31, 2022 | 5.08% |
| Sep 30, 2022 | -52.24% |
| Jun 30, 2022 | 12.49% |
| Mar 31, 2022 | 3.96% |
| Dec 31, 2021 | 9.17% |
| Sep 30, 2021 | 6.49% |
API Access
LivaNova Return on Sales [ROS] 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-sales-%5Bros%5D&ticker=LIVN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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-sales-%5Bros%5D&ticker=LIVN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();