Ericsson Lm Telephone (ERIC) EV to EBITDA (2009 - 2026)
Ericsson Lm Telephone's EV to EBITDA was 1.55 in the quarter ended Jun 30, 2026, up 30.1% from 1.19 a year earlier and up 4.5% from the prior quarter.
Ericsson Lm Telephone (ERIC) EV to EBITDA (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Ericsson Lm Telephone's EV to EBITDA was 0.75 through Jun 30, 2026, up 41.1% year-over-year; for the year ended Dec 31, 2025, it came in at 5.62, down 28.0% from the prior year.
- In earlier years, EV to EBITDA was 7.81 in the year ended Dec 31, 2024 (+1.9%), 7.66 in the year ended Dec 31, 2023 (+92.6%), 3.98 in the year ended Dec 31, 2022 (-34.8%) and 6.10 in the year ended Dec 31, 2021 (-29.4%).
- The figure for the quarter ended Jun 30, 2026 marks the highest quarterly EV to EBITDA since the quarter ended Sep 30, 2021.
- Compared with a year earlier, EV to EBITDA has increased for eight straight quarters, with growth averaging 43.5% over the last eight quarters.
- The best year-over-year quarter for EV to EBITDA over five years was the quarter ended Jun 30, 2025 (growth of 70.8%); the worst was the quarter ended Dec 31, 2021 (a decline of 83.3%).
- Per Business Quant data, ERIC's EV to EBITDA in the three quarters before the quarter ended Jun 30, 2026 was 1.48 (quarter ended Mar 31, 2026), 1.31 (quarter ended Dec 31, 2025) and 1.11 (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 | 1.55 |
| Mar 31, 2026 | 1.48 |
| Dec 31, 2025 | 1.31 |
| Sep 30, 2025 | 1.11 |
| Jun 30, 2025 | 1.19 |
| Mar 31, 2025 | 0.92 |
| Dec 31, 2024 | 0.98 |
| Sep 30, 2024 | 0.95 |
| Jun 30, 2024 | 0.70 |
| Mar 31, 2024 | 0.66 |
| Dec 31, 2023 | 0.77 |
| Sep 30, 2023 | 0.56 |
| Jun 30, 2023 | 0.74 |
| Mar 31, 2023 | 0.76 |
| Dec 31, 2022 | 0.74 |
| Sep 30, 2022 | 0.72 |
| Jun 30, 2022 | 0.69 |
| Mar 31, 2022 | 1.03 |
| Dec 31, 2021 | 1.40 |
| Sep 30, 2021 | 1.90 |
Ericsson Lm Telephone EV to EBITDA 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=ev-to-ebitda&ticker=ERIC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-ebitda", "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=ev-to-ebitda&ticker=ERIC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();