Ericsson Lm Telephone (ERIC) Goodwill (2009 - 2026)
Ericsson Lm Telephone (ERIC) recorded Goodwill of $5.27 billion in the quarter ended Jun 30, 2026, up 3.2% from $5.11 billion a year earlier but down 1.0% from the prior quarter.
Ericsson Lm Telephone (ERIC) Goodwill (2009 - 2026) Analysis & Trends
As of Dec 31, 2025, Ericsson Lm Telephone reported Goodwill of $4.79 billion, down 9.8% from the prior year.
- Annual Goodwill has a five-year compound annual growth rate of 4.7% (years ended Dec 2020 to Dec 2025).
- Across earlier years, Goodwill came in at $5.31 billion in the year ended Dec 31, 2024 (+6.3%), $5 billion in the year ended Dec 31, 2023 (-40.5%), $8.4 billion in the year ended Dec 31, 2022 (+88.4%) and $4.46 billion in the year ended Dec 31, 2021 (+17.0%).
- Quarterly Goodwill has ranged from $4.2 billion in the quarter ended Mar 31, 2022 to $8.83 billion in the quarter ended Sep 30, 2022 over the past five years.
- On a year-over-year basis, Goodwill rose in five of the last eight quarters, with an average decline of 0.1%.
- Peak year-over-year performance for Goodwill in the last five years was growth of 105.3% in the quarter ended Sep 30, 2022, against a decline of 40.5% in the quarter ended Sep 30, 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at $5.33 billion (quarter ended Mar 31, 2026), $4.98 billion (quarter ended Dec 31, 2025) and $5.05 billion (quarter ended Sep 30, 2025).
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
| Date | Value |
|---|---|
| Jun 30, 2026 | 5.27 Bn |
| Mar 31, 2026 | 5.33 Bn |
| Dec 31, 2025 | 4.98 Bn |
| Sep 30, 2025 | 5.05 Bn |
| Jun 30, 2025 | 5.11 Bn |
| Mar 31, 2025 | 4.83 Bn |
| Dec 31, 2024 | 5.22 Bn |
| Sep 30, 2024 | 5.01 Bn |
| Jun 30, 2024 | 5.10 Bn |
| Mar 31, 2024 | 5.42 Bn |
| Dec 31, 2023 | 4.97 Bn |
| Sep 30, 2023 | 5.25 Bn |
| Jun 30, 2023 | 8.47 Bn |
| Mar 31, 2023 | 8.11 Bn |
| Dec 31, 2022 | 7.89 Bn |
| Sep 30, 2022 | 8.83 Bn |
| Jun 30, 2022 | 4.30 Bn |
| Mar 31, 2022 | 4.20 Bn |
| Dec 31, 2021 | 4.32 Bn |
| Sep 30, 2021 | 4.30 Bn |
Ericsson Lm Telephone Goodwill 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=goodwill&ticker=ERIC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "goodwill", "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=goodwill&ticker=ERIC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();