LivaNova (LIVN) Shares Outstanding (Diluted) (2014 - 2026)
LivaNova (LIVN) posted Shares Outstanding (Diluted) of 56.27 million for Q2 2026, up 2.9% from 54.71 million a year earlier and up 0.6% from the prior quarter.
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LivaNova (LIVN) Shares Outstanding (Diluted) (2014 - 2026) Analysis & Trends
For FY2025, LivaNova's Shares Outstanding (Diluted) came in at 54.55 million, unchanged from FY2024.
- Annual Shares Outstanding (Diluted) shows a five-year compound annual growth rate of 2.3% (FY2020 to FY2025).
- In prior years, LivaNova's Shares Outstanding (Diluted) was 54.57 million in FY2024 (+0.7%), 54.21 million in FY2023 (+1.4%), 53.47 million in FY2022 (+5.6%) and 50.63 million in FY2021 (+4.2%).
- The Q2 2026 figure stands as the highest quarterly Shares Outstanding (Diluted) in data going back to Q4 2015.
- On a year-over-year basis, Shares Outstanding (Diluted) increased in seven of the last eight quarters, with growth averaging 1.2%.
- The strongest year-over-year quarter for Shares Outstanding (Diluted) in the past five years was Q1 2022, with growth of 11.2%; the weakest was Q1 2023, with a decline of 0.5%.
- According to Business Quant data, Shares Outstanding (Diluted) for the three prior quarters was 55.94 million (Q1 2026), 54.55 million (Q4 2025) and 55.15 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 242.18 Bn | 221.33 Bn | 4.88 Bn | 371.00 Mn |
| 2 | Abbott Laboratories | 168.71 Bn | 139.79 Bn | 7.27 Bn | 1.74 Bn |
| 3 | Danaher | 150.46 Bn | 134.27 Bn | 3.61 Bn | 707.60 Mn |
| 4 | Intuitive Surgical | 138.71 Bn | 118.26 Bn | 1.96 Bn | 357.30 Mn |
| 5 | Medtronic | 110.54 Bn | 76.41 Bn | 6.34 Bn | 1.29 Bn |
| 6 | Stryker | 105.66 Bn | 91.78 Bn | 4.50 Bn | 386.00 Mn |
| 7 | Boston Scientific | 61.74 Bn | 56.75 Bn | 3.85 Bn | 1.47 Bn |
| 8 | Edwards Lifesciences | 49.09 Bn | 33.21 Bn | 1.35 Bn | 577.60 Mn |
| 9 | Becton Dickinson | 48.16 Bn | 45.31 Bn | 2.32 Bn | 275.16 Mn |
| 10 | LivaNova | 4.13 Bn | 1.79 Bn | 273.67 Mn | 56.27 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 56.27 Mn |
| Mar 31, 2026 | 55.94 Mn |
| Dec 31, 2025 | 54.55 Mn |
| Sep 30, 2025 | 55.15 Mn |
| Jun 30, 2025 | 54.71 Mn |
| Mar 31, 2025 | 54.42 Mn |
| Dec 31, 2024 | 54.57 Mn |
| Sep 30, 2024 | 54.59 Mn |
| Jun 30, 2024 | 54.59 Mn |
| Mar 31, 2024 | 54.01 Mn |
| Dec 31, 2023 | 54.21 Mn |
| Sep 30, 2023 | 53.99 Mn |
| Jun 30, 2023 | 53.98 Mn |
| Mar 31, 2023 | 53.90 Mn |
| Dec 31, 2022 | 53.47 Mn |
| Sep 30, 2022 | 53.53 Mn |
| Jun 30, 2022 | 54.08 Mn |
| Mar 31, 2022 | 54.18 Mn |
| Dec 31, 2021 | 50.63 Mn |
| Sep 30, 2021 | 51.58 Mn |
API Access
LivaNova Shares Outstanding (Diluted) 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=shares-outstanding-diluted&ticker=LIVN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "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=shares-outstanding-diluted&ticker=LIVN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();