Ericsson Lm Telephone (ERIC) Operating Income (2009 - 2026)
Ericsson Lm Telephone (ERIC) posted Operating Income of $918.57 million for Q3 2026, down 42.3% from $1.59 billion a year earlier but up 45.3% from the prior quarter.
Ericsson Lm Telephone (ERIC) Operating Income (2009 - 2026) Analysis & Trends
For the trailing twelve months through Sep 30, 2026, Operating Income at Ericsson Lm Telephone was $2.9 billion, down 18.4% year-over-year; for FY2025, it was $3.95 billion, up 866.2% from FY2024.
- Annual Operating Income shows a five-year compound annual growth rate of 5.4% (FY2020 to FY2025).
- In prior years, Ericsson Lm Telephone's Operating Income was $408.6 million in FY2024, -$1.92 billion in FY2023, $2.68 billion in FY2022 (-27.7%) and $3.71 billion in FY2021 (+22.3%).
- Quarterly Operating Income has run from a low of -$2.68 billion in Q3 2023 to a high of $1.59 billion in Q3 2025 over five years.
- On a year-over-year basis, Operating Income has declined in each of the last three quarters, with growth averaging 29.3% over the last seven quarters.
- The strongest year-over-year quarter for Operating Income in the past five years was Q3 2025, with growth of 187.4%; the weakest was Q1 2026, with a decline of 71.5%.
- According to Business Quant data, Operating Income for the three prior quarters was $632.32 million (Q2 2026), $158.1 million (Q1 2026) and $1.19 billion (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Op. Inc (Qtr) |
|---|---|---|---|---|---|
| 1 | Apple | 5,064.64 Bn | 4,810.10 Bn | 54.82 Bn | 35.63 Bn |
| 2 | Cisco Systems | 387.30 Bn | 323.23 Bn | 11.06 Bn | 4.26 Bn |
| 3 | Arista Networks | 233.88 Bn | 183.08 Bn | 2.33 Bn | 1.64 Bn |
| 4 | Dell Technologies | 213.96 Bn | 169.72 Bn | 9.83 Bn | 5.39 Bn |
| 5 | Sony | 164.26 Bn | 101.68 Bn | 7.96 Bn | 3.91 Bn |
| 6 | Sandisk | 123.84 Bn | 108.67 Bn | 9.38 Bn | 8.78 Bn |
| 7 | Seagate Technology Holdings | 115.23 Bn | 110.07 Bn | 2.43 Bn | 2.06 Bn |
| 8 | Western Digital | 108.25 Bn | 98.08 Bn | 2.53 Bn | 2.05 Bn |
| 9 | Hewlett Packard Enterprise | 63.71 Bn | 41.65 Bn | 4.93 Bn | 1.39 Bn |
| 10 | Ericsson Lm Telephone | 35.87 Bn | 13.48 Bn | 2.90 Bn | 918.57 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 918.57 Mn |
| Jun 30, 2026 | 632.32 Mn |
| Mar 31, 2026 | 158.10 Mn |
| Dec 31, 2025 | 1.19 Bn |
| Sep 30, 2025 | 1.59 Bn |
| Jun 30, 2025 | 660.73 Mn |
| Mar 31, 2025 | 555.62 Mn |
| Dec 31, 2024 | 740.43 Mn |
| Sep 30, 2024 | 554.31 Mn |
| Jun 30, 2024 | -1.27 Bn |
| Mar 31, 2024 | 395.18 Mn |
| Dec 31, 2023 | 549.38 Mn |
| Sep 30, 2023 | -2.68 Bn |
| Jun 30, 2023 | -29.67 Mn |
| Mar 31, 2023 | 292.04 Mn |
| Dec 31, 2022 | 732.82 Mn |
| Sep 30, 2022 | 676.01 Mn |
| Jun 30, 2022 | 745.01 Mn |
| Mar 31, 2022 | 508.55 Mn |
| Dec 31, 2021 | 1.34 Bn |
Ericsson Lm Telephone Operating Income 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=operating-income&ticker=ERIC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-income", "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=operating-income&ticker=ERIC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();