Ericsson Lm Telephone (ERIC) Restructuring Costs (2012 - 2023)
Ericsson Lm Telephone's Restructuring Costs came in at -$83.34 million for the quarter ended Sep 30, 2023, compared with -$9.5 million a year earlier.
Powered by 
Analysis
Ericsson Lm Telephone (ERIC) Restructuring Costs (2012 - 2023) Analysis & Trends
Over the trailing twelve months to Sep 30, 2023, Ericsson Lm Telephone reported Restructuring Costs of $8.11 billion, down 14.8% year-over-year; for the year ended Dec 31, 2016, it was $837.73 million.
- Going back by year, Restructuring Costs was -$0.33 in the year ended Dec 31, 2015 and -$0.06 in the year ended Dec 31, 2014.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Apple | 4,812.19 Bn | 4,559.68 Bn | 54.77 Bn |
| 2 | Cisco Systems | 421.99 Bn | 357.91 Bn | 11.06 Bn |
| 3 | Dell Technologies | 345.43 Bn | 301.18 Bn | 9.83 Bn |
| 4 | Arista Networks | 255.77 Bn | 209.23 Bn | 1.91 Bn |
| 5 | Sandisk | 252.54 Bn | 241.07 Bn | 7.58 Bn |
| 6 | Seagate Technology Holdings | 207.16 Bn | 202.15 Bn | 1.90 Bn |
| 7 | Western Digital | 163.71 Bn | 151.83 Bn | 2.03 Bn |
| 8 | Sony | 143.72 Bn | 94.11 Bn | 6.53 Bn |
| 9 | Lumentum Holdings | 86.25 Bn | 78.06 Bn | 477.30 Mn |
| 10 | Ericsson Lm Telephone | 31.42 Bn | 9.54 Bn | 2.58 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2023 | -83.34 Mn |
| Jun 30, 2023 | -294.84 Mn |
| Sep 30, 2022 | -9.50 Mn |
| Dec 31, 2017 | 8.50 Bn |
| Dec 31, 2016 | 837.73 Mn |
| Sep 30, 2016 | 187.87 Mn |
| Jun 30, 2016 | 463.13 Mn |
| Dec 31, 2015 | 593.52 Mn |
| Sep 30, 2015 | 719.95 Mn |
| Dec 31, 2014 | 196.29 Mn |
| Dec 31, 2013 | 684.50 Bn |
| Dec 31, 2012 | 518.55 Mn |
API Access
Ericsson Lm Telephone 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=ERIC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "restructuring-costs", "ticker": "ERIC", "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=ERIC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();