Live Nation Entertainment (LYV) Restructuring Costs (2011 - 2016)
Live Nation Entertainment (LYV) posted Restructuring Costs of $1.14 million for Q1 2016, compared with -$527,000 a year earlier and down 86.5% from the prior quarter.
Live Nation Entertainment (LYV) Restructuring Costs (2011 - 2016) Analysis & Trends
For the trailing twelve months through Mar 31, 2016, Restructuring Costs at Live Nation Entertainment was $15.76 million, up 103.8% year-over-year; for FY2015, it came in at $14.1 million, up 40.1% from FY2014.
- Annual Restructuring Costs has increased for three consecutive years, though with a five-year compound annual growth rate of -8.8% (FY2010 to FY2015).
- In prior years, Live Nation Entertainment's Restructuring Costs was $10.06 million in FY2014 (+56.3%), $6.44 million in FY2013 (+91.1%), $3.37 million in FY2012 (-58.1%) and $8.05 million in FY2011 (-64.0%).
- Quarterly Restructuring Costs has run from a low of -$1.87 million in Q2 2012 to a high of $8.43 million in Q4 2015 over five years.
- On a year-over-year basis, Restructuring Costs increased in four of the last six quarters, with growth averaging 87.8%.
- The strongest year-over-year quarter for Restructuring Costs in the past five years was Q4 2012, with growth of 988.2%; the weakest was Q3 2012, with a decline of 65.5%.
- According to Business Quant data, Restructuring Costs for the three prior quarters was $8.43 million (Q4 2015), $3.44 million (Q3 2015) and $2.76 million (Q2 2015).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Live Nation Entertainment | 40.51 Bn | 9.58 Bn | 1.94 Bn |
| 2 | TKO Group Holdings | 34.58 Bn | 31.54 Bn | 990.96 Mn |
| 3 | Liberty Media | 19.43 Bn | 14.75 Bn | 329.00 Mn |
| 4 | Liberty Live Holdings | 8.93 Bn | 6.98 Bn | 30.26 Mn |
| 5 | Madison Square Garden Entertainment | 3.31 Bn | 2.50 Bn | 75.84 Mn |
| 6 | Amc Entertainment Holdings | 2.37 Bn | 456.31 Mn | 1.05 Bn |
| 7 | Emerald Holding | 997.46 Mn | 523.66 Mn | 99.50 Mn |
| 8 | Marcus | 882.04 Mn | 813.63 Mn | 106.56 Mn |
| 9 | Reading International | 41.78 Mn | 12.09 Mn | 14.10 Mn |
| 10 | Nip | 31.30 Mn | -28,742.19 Bn | - |
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2016 | 1.14 Mn |
| Dec 31, 2015 | 8.43 Mn |
| Sep 30, 2015 | 3.44 Mn |
| Jun 30, 2015 | 2.76 Mn |
| Mar 31, 2015 | -527,000.00 |
| Dec 31, 2014 | 4.60 Mn |
| Sep 30, 2014 | 2.33 Mn |
| Jun 30, 2014 | 1.33 Mn |
| Mar 31, 2014 | 1.80 Mn |
| Dec 31, 2013 | 1.11 Mn |
| Sep 30, 2013 | 2.35 Mn |
| Jun 30, 2013 | 1.77 Mn |
| Mar 31, 2013 | 1.21 Mn |
| Dec 31, 2012 | 2.04 Mn |
| Sep 30, 2012 | 1.90 Mn |
| Jun 30, 2012 | -1.87 Mn |
| Mar 31, 2012 | 1.31 Mn |
| Dec 31, 2011 | 187,000.00 |
| Sep 30, 2011 | 5.49 Mn |
| Jun 30, 2011 | 706,000.00 |
Live Nation Entertainment 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=LYV&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "restructuring-costs", "ticker": "LYV", "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=LYV&period=max&api_key=YOUR_API_KEY");
const data = await res.json();