Ericsson Lm Telephone (ERIC) Return on Sales [ROS] (2009 - 2026)
Ericsson Lm Telephone (ERIC) posted Return on Sales [ROS] of 14.90% for Q3 2026, down 12.04 percentage points from 26.94% a year earlier but up 3.67 percentage points from the prior quarter.
Ericsson Lm Telephone (ERIC) Return on Sales [ROS] (2009 - 2026) Analysis & Trends
For the trailing twelve months through Sep 30, 2026, Return on Sales [ROS] at Ericsson Lm Telephone was 11.79%, up 2.90 percentage points year-over-year; for FY2025, it came in at 16.32%, up 14.58 percentage points from FY2024.
- Annual Return on Sales [ROS] shows a five-year change of +4.36 percentage points (FY2020 to FY2025).
- In prior years, Ericsson Lm Telephone's Return on Sales [ROS] was 1.74% in FY2024 (+9.46 pp), -7.72% in FY2023 (-17.67 pp), 9.95% in FY2022 (-3.73 pp) and 13.68% in FY2021 (+1.71 pp).
- Quarterly Return on Sales [ROS] has run from a low of -44.84% in Q3 2023 to a high of 26.94% in Q3 2025 over five years.
- On a year-over-year basis, Return on Sales [ROS] has declined in each of the last three quarters, with an average year-over-year change of +5.32 percentage points over the last eight quarters.
- The strongest year-over-year quarter for Return on Sales [ROS] in the past five years was Q3 2024, with a gain of 54.18 percentage points; the weakest was Q3 2023, with a drop of 55.29 percentage points.
- According to Business Quant data, Return on Sales [ROS] for the three prior quarters was 11.23% (Q2 2026), 2.93% (Q1 2026) and 16.11% (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Apple | 5,064.64 Bn | 4,810.10 Bn | 54.82 Bn | 31.13% |
| 2 | Cisco Systems | 387.30 Bn | 323.23 Bn | 11.06 Bn | 24.72% |
| 3 | Arista Networks | 233.88 Bn | 183.08 Bn | 2.33 Bn | 44.90% |
| 4 | Dell Technologies | 213.96 Bn | 169.72 Bn | 9.83 Bn | 11.46% |
| 5 | Sony | 164.26 Bn | 101.68 Bn | 7.96 Bn | 18.15% |
| 6 | Sandisk | 123.84 Bn | 108.67 Bn | 9.38 Bn | 79.59% |
| 7 | Seagate Technology Holdings | 115.23 Bn | 110.07 Bn | 2.43 Bn | 48.76% |
| 8 | Western Digital | 108.25 Bn | 98.08 Bn | 2.53 Bn | 46.70% |
| 9 | Hewlett Packard Enterprise | 63.71 Bn | 41.65 Bn | 4.93 Bn | 11.41% |
| 10 | Ericsson Lm Telephone | 35.87 Bn | 13.48 Bn | 2.90 Bn | 14.90% |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 14.90% |
| Jun 30, 2026 | 11.23% |
| Mar 31, 2026 | 2.93% |
| Dec 31, 2025 | 16.11% |
| Sep 30, 2025 | 26.94% |
| Jun 30, 2025 | 11.39% |
| Mar 31, 2025 | 10.78% |
| Dec 31, 2024 | 3.21% |
| Sep 30, 2024 | 9.34% |
| Jun 30, 2024 | -22.59% |
| Mar 31, 2024 | 7.69% |
| Dec 31, 2023 | 8.14% |
| Sep 30, 2023 | -44.84% |
| Jun 30, 2023 | -0.48% |
| Mar 31, 2023 | 4.87% |
| Dec 31, 2022 | 9.13% |
| Sep 30, 2022 | 10.46% |
| Jun 30, 2022 | 11.70% |
| Mar 31, 2022 | 8.62% |
| Dec 31, 2021 | 16.63% |
Ericsson Lm Telephone Return on Sales [ROS] 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=return-on-sales-%5Bros%5D&ticker=ERIC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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=return-on-sales-%5Bros%5D&ticker=ERIC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();