LivaNova (LIVN) Restructuring Costs (2015 - 2021)
LivaNova (LIVN) posted Restructuring Costs of $6.09 million for Q1 2021, up 75.4% from $3.47 million a year earlier and up 537.9% from the prior quarter.
LivaNova (LIVN) Restructuring Costs (2015 - 2021) Analysis & Trends
For the trailing twelve months through Mar 31, 2021, Restructuring Costs at LivaNova was $10.19 million, down 57.0% year-over-year; for FY2020, it was $7.57 million, down 67.7% from FY2019.
- Annual Restructuring Costs shows a five-year compound annual growth rate of -32.9% (FY2015 to FY2020).
- In prior years, LivaNova's Restructuring Costs was $23.46 million in FY2019 (-3.9%), $24.42 million in FY2018 (+43.2%), $17.06 million in FY2017 (-54.4%) and $37.38 million in FY2016 (-33.0%).
- The Q1 2021 figure stands as the highest quarterly Restructuring Costs since Q4 2019.
- On a year-over-year basis, Restructuring Costs increased in three of the last eight quarters, with an average decline of 10.6%.
- The strongest year-over-year quarter for Restructuring Costs in the past five years was Q3 2018, with growth of 529.8%; the weakest was Q4 2016, with a decline of 99.7%.
- According to Business Quant data, Restructuring Costs for the three prior quarters was $955,000 (Q4 2020), $1.09 million (Q3 2020) and $2.05 million (Q2 2020).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 249.71 Bn | 228.86 Bn | 4.88 Bn |
| 2 | Abbott Laboratories | 171.00 Bn | 142.08 Bn | 7.27 Bn |
| 3 | Danaher | 155.79 Bn | 139.61 Bn | 3.61 Bn |
| 4 | Intuitive Surgical | 143.91 Bn | 123.46 Bn | 1.96 Bn |
| 5 | Medtronic | 110.42 Bn | 76.29 Bn | 6.34 Bn |
| 6 | Stryker | 105.71 Bn | 91.82 Bn | 4.50 Bn |
| 7 | Boston Scientific | 63.26 Bn | 58.27 Bn | 3.85 Bn |
| 8 | Edwards Lifesciences | 49.80 Bn | 33.91 Bn | 1.35 Bn |
| 9 | Becton Dickinson | 48.78 Bn | 45.93 Bn | 2.32 Bn |
| 10 | LivaNova | 4.21 Bn | 1.87 Bn | 273.67 Mn |
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2021 | 6.09 Mn |
| Dec 31, 2020 | 955,000.00 |
| Sep 30, 2020 | 1.09 Mn |
| Jun 30, 2020 | 2.05 Mn |
| Mar 31, 2020 | 3.47 Mn |
| Dec 31, 2019 | 9.11 Mn |
| Sep 30, 2019 | 6.72 Mn |
| Jun 30, 2019 | 4.38 Mn |
| Mar 31, 2019 | 3.25 Mn |
| Dec 31, 2018 | 4.39 Mn |
| Sep 30, 2018 | 12.66 Mn |
| Jun 30, 2018 | 4.41 Mn |
| Mar 31, 2018 | 2.96 Mn |
| Dec 31, 2017 | 3.25 Mn |
| Sep 30, 2017 | 2.01 Mn |
| Jun 30, 2017 | 3.51 Mn |
| Mar 31, 2017 | 10.03 Mn |
| Dec 31, 2016 | 158,000.00 |
| Sep 30, 2016 | 7.58 Mn |
| Jun 30, 2016 | 6.20 Mn |
LivaNova Restructuring Costs 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=restructuring-costs&ticker=LIVN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "restructuring-costs", "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=restructuring-costs&ticker=LIVN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();