LivaNova (LIVN) Amortization - Intangibles (2015 - 2021)
LivaNova (LIVN) posted Amortization - Intangibles of $6.7 million for Q1 2021, down 34.8% from $10.27 million a year earlier and down 25.3% from the prior quarter.
LivaNova (LIVN) Amortization - Intangibles (2015 - 2021) Analysis & Trends
For the trailing twelve months through Mar 31, 2021, Amortization - Intangibles at LivaNova was $34.74 million, down 15.9% year-over-year; for FY2020, it came in at $38.31 million, down 5.1% from FY2019.
- Annual Amortization - Intangibles shows a five-year compound annual growth rate of 40.4% (FY2015 to FY2020).
- In prior years, LivaNova's Amortization - Intangibles was $40.38 million in FY2019 (+8.6%), $37.19 million in FY2018 (+12.2%), $33.14 million in FY2017 (+6.8%) and $31.04 million in FY2016 (+341.5%).
- The Q1 2021 figure stands as the lowest quarterly Amortization - Intangibles since Q4 2016.
- On a year-over-year basis, Amortization - Intangibles has declined in each of the last three quarters, with an average decline of 2.9% over the last eight quarters.
- The strongest year-over-year quarter for Amortization - Intangibles in the past five years was Q2 2017, with growth of 29.0%; the weakest was Q1 2017, with a decline of 49.9%.
- According to Business Quant data, Amortization - Intangibles for the three prior quarters was $8.97 million (Q4 2020), $9.69 million (Q3 2020) and $9.39 million (Q2 2020).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 242.18 Bn | 221.33 Bn | 4.88 Bn |
| 2 | Abbott Laboratories | 168.71 Bn | 139.79 Bn | 7.27 Bn |
| 3 | Danaher | 150.46 Bn | 134.27 Bn | 3.61 Bn |
| 4 | Intuitive Surgical | 138.71 Bn | 118.26 Bn | 1.96 Bn |
| 5 | Medtronic | 110.54 Bn | 76.41 Bn | 6.34 Bn |
| 6 | Stryker | 105.66 Bn | 91.78 Bn | 4.50 Bn |
| 7 | Boston Scientific | 61.74 Bn | 56.75 Bn | 3.85 Bn |
| 8 | Edwards Lifesciences | 49.09 Bn | 33.21 Bn | 1.35 Bn |
| 9 | Becton Dickinson | 48.16 Bn | 45.31 Bn | 2.32 Bn |
| 10 | LivaNova | 4.13 Bn | 1.79 Bn | 273.67 Mn |
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2021 | 6.70 Mn |
| Dec 31, 2020 | 8.97 Mn |
| Sep 30, 2020 | 9.69 Mn |
| Jun 30, 2020 | 9.39 Mn |
| Mar 31, 2020 | 10.27 Mn |
| Dec 31, 2019 | 10.69 Mn |
| Sep 30, 2019 | 11.15 Mn |
| Jun 30, 2019 | 9.23 Mn |
| Mar 31, 2019 | 9.32 Mn |
| Dec 31, 2018 | 9.12 Mn |
| Sep 30, 2018 | 9.46 Mn |
| Jun 30, 2018 | 9.82 Mn |
| Mar 31, 2018 | 8.80 Mn |
| Dec 31, 2017 | 8.53 Mn |
| Sep 30, 2017 | 8.54 Mn |
| Jun 30, 2017 | 8.12 Mn |
| Mar 31, 2017 | 7.96 Mn |
| Dec 31, 2016 | -2.92 Mn |
| Sep 30, 2016 | 11.78 Mn |
| Jun 30, 2016 | 6.29 Mn |
LivaNova Amortization - Intangibles 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=amortization-intangibles&ticker=LIVN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "amortization-intangibles", "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=amortization-intangibles&ticker=LIVN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();