LivaNova (LIVN) Shares Outstanding (2014 - 2026)
LivaNova (LIVN) recorded Shares Outstanding of 54.97 million in Q2 2026, up 0.7% from 54.58 million a year earlier and up 0.5% from the prior quarter.
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Analysis
LivaNova (LIVN) Shares Outstanding (2014 - 2026) Analysis & Trends
For FY2025, LivaNova reported Shares Outstanding of 54.55 million, up 0.6% from FY2024.
- Annual Shares Outstanding has increased for six straight years, with a five-year compound annual growth rate of 2.3% (FY2020 to FY2025).
- Across earlier years, Shares Outstanding came in at 54.24 million in FY2024 (+0.6%), 53.94 million in FY2023 (+0.9%), 53.47 million in FY2022 (+5.6%) and 50.63 million in FY2021 (+4.2%).
- The Q2 2026 figure is the highest quarterly Shares Outstanding in data going back to Q4 2015.
- On a year-over-year basis, Shares Outstanding has increased for 26 consecutive quarters, with growth averaging 0.6% over the last eight quarters.
- The year-over-year growth in Shares Outstanding has ranged between 0.5% (Q1 2026) and 9.4% (Q1 2022) over the last five years.
- Per Business Quant, the preceding three quarters came in at 54.69 million (Q1 2026), 54.55 million (Q4 2025) and 54.63 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 241.25 Bn | 220.40 Bn | 4.88 Bn | 371.00 Mn |
| 2 | Abbott Laboratories | 167.33 Bn | 138.41 Bn | 7.27 Bn | 1.74 Bn |
| 3 | Danaher | 148.83 Bn | 132.65 Bn | 3.61 Bn | 705.30 Mn |
| 4 | Intuitive Surgical | 142.00 Bn | 121.55 Bn | 1.96 Bn | 354.10 Mn |
| 5 | Medtronic | 110.70 Bn | 76.57 Bn | 6.34 Bn | 1.28 Bn |
| 6 | Stryker | 104.72 Bn | 90.84 Bn | 4.50 Bn | 383.50 Mn |
| 7 | Boston Scientific | 62.66 Bn | 57.67 Bn | 3.85 Bn | 1.47 Bn |
| 8 | Edwards Lifesciences | 49.13 Bn | 33.24 Bn | 1.35 Bn | 576.40 Mn |
| 9 | Becton Dickinson | 48.51 Bn | 45.66 Bn | 2.32 Bn | 274.79 Mn |
| 10 | LivaNova | 4.11 Bn | 1.77 Bn | 273.67 Mn | 54.97 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 54.97 Mn |
| Mar 31, 2026 | 54.69 Mn |
| Dec 31, 2025 | 54.55 Mn |
| Sep 30, 2025 | 54.63 Mn |
| Jun 30, 2025 | 54.58 Mn |
| Mar 31, 2025 | 54.42 Mn |
| Dec 31, 2024 | 54.24 Mn |
| Sep 30, 2024 | 54.35 Mn |
| Jun 30, 2024 | 54.24 Mn |
| Mar 31, 2024 | 54.01 Mn |
| Dec 31, 2023 | 53.94 Mn |
| Sep 30, 2023 | 53.99 Mn |
| Jun 30, 2023 | 53.80 Mn |
| Mar 31, 2023 | 53.62 Mn |
| Dec 31, 2022 | 53.47 Mn |
| Sep 30, 2022 | 53.53 Mn |
| Jun 30, 2022 | 53.51 Mn |
| Mar 31, 2022 | 53.30 Mn |
| Dec 31, 2021 | 50.63 Mn |
| Sep 30, 2021 | 51.58 Mn |
API Access
LivaNova Shares Outstanding 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&ticker=LIVN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding", "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&ticker=LIVN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();