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 | 4,984.84 Bn | 4,732.33 Bn | 54.77 Bn |
| 2 | Cisco Systems | 425.48 Bn | 361.41 Bn | 11.06 Bn |
| 3 | Dell Technologies | 315.31 Bn | 271.07 Bn | 9.83 Bn |
| 4 | Arista Networks | 230.91 Bn | 184.37 Bn | 1.91 Bn |
| 5 | Sandisk | 201.66 Bn | 190.18 Bn | 7.58 Bn |
| 6 | Seagate Technology Holdings | 152.63 Bn | 147.62 Bn | 1.90 Bn |
| 7 | Sony | 150.03 Bn | 87.29 Bn | 6.53 Bn |
| 8 | Western Digital | 128.96 Bn | 117.09 Bn | 2.03 Bn |
| 9 | Hewlett Packard Enterprise | 77.92 Bn | 55.79 Bn | 4.93 Bn |
| 10 | Ericsson Lm Telephone | 35.05 Bn | 12.66 Bn | 2.90 Bn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 5.07 Bn |
| Jun 30, 2026 | 5.09 Bn |
| Mar 31, 2026 | 5.09 Bn |
| Dec 31, 2025 | 5.10 Bn |
| Sep 30, 2025 | 5.10 Bn |
| Jun 30, 2025 | 5.22 Bn |
| Mar 31, 2025 | 5.15 Bn |
| Dec 31, 2024 | 5.09 Bn |
| Sep 30, 2024 | 5.18 Bn |
| Jun 30, 2024 | 5.12 Bn |
| Mar 31, 2024 | 5.26 Bn |
| Dec 31, 2023 | 5.31 Bn |
| Sep 30, 2023 | 5.19 Bn |
| Jun 30, 2023 | 8.20 Bn |
| Mar 31, 2023 | 8.17 Bn |
| Dec 31, 2022 | 8.09 Bn |
| Sep 30, 2022 | 8.34 Bn |
| Jun 30, 2022 | 4.13 Bn |
| Mar 31, 2022 | 4.24 Bn |
| Dec 31, 2021 | 4.22 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();