Ericsson Lm Telephone (ERIC) Cash & Equivalents (2009 - 2026)
Ericsson Lm Telephone's Cash & Equivalents came in at $5.11 billion for Q3 2026, up 12.8% from $4.53 billion a year earlier and up 19.1% from the prior quarter.
Ericsson Lm Telephone (ERIC) Cash & Equivalents (2009 - 2026) Analysis & Trends
At the end of FY2025, Ericsson Lm Telephone's Cash & Equivalents was $4.78 billion, up 20.0% from FY2024.
- Cash & Equivalents carries a five-year compound annual growth rate of -2.2% (FY2020 to FY2025).
- Going back by year, Cash & Equivalents was $3.98 billion in FY2024 (+12.8%), $3.53 billion in FY2023 (-3.8%), $3.67 billion in FY2022 (-38.6%) and $5.97 billion in FY2021 (+12.2%).
- The five-year range for quarterly Cash & Equivalents is $2.06 billion (Q2 2023) to $9.16 billion (Q2 2022).
- Year-over-year, Cash & Equivalents has increased for ten consecutive quarters, with growth averaging 24.1% over the last eight quarters.
- The fastest year-over-year change in Cash & Equivalents over five years came in Q2 2022 (growth of 80.3%), and the weakest in Q2 2023 (a decline of 77.6%).
- Business Quant data shows ERIC's Cash & Equivalents at $4.29 billion (Q2 2026), $5.47 billion (Q1 2026) and $4.78 billion (Q4 2025) in the three quarters before Q3 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Apple | 5,064.64 Bn | 4,810.10 Bn | 54.82 Bn | 36.31 Bn |
| 2 | Cisco Systems | 387.30 Bn | 323.23 Bn | 11.06 Bn | 7.22 Bn |
| 3 | Arista Networks | 233.88 Bn | 183.08 Bn | 2.33 Bn | 2.29 Bn |
| 4 | Dell Technologies | 213.96 Bn | 169.72 Bn | 9.83 Bn | 11.57 Bn |
| 5 | Sony | 164.26 Bn | 101.68 Bn | 7.96 Bn | 12.77 Bn |
| 6 | Sandisk | 123.84 Bn | 108.67 Bn | 9.38 Bn | 5.14 Bn |
| 7 | Seagate Technology Holdings | 115.23 Bn | 110.07 Bn | 2.43 Bn | 1.26 Bn |
| 8 | Western Digital | 108.25 Bn | 98.08 Bn | 2.53 Bn | 1.31 Bn |
| 9 | Hewlett Packard Enterprise | 63.71 Bn | 41.65 Bn | 4.93 Bn | 6.22 Bn |
| 10 | Ericsson Lm Telephone | 35.87 Bn | 13.48 Bn | 2.90 Bn | 5.11 Bn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 5.11 Bn |
| Jun 30, 2026 | 4.29 Bn |
| Mar 31, 2026 | 5.47 Bn |
| Dec 31, 2025 | 4.78 Bn |
| Sep 30, 2025 | 4.53 Bn |
| Jun 30, 2025 | 3.55 Bn |
| Mar 31, 2025 | 4.46 Bn |
| Dec 31, 2024 | 3.98 Bn |
| Sep 30, 2024 | 3.70 Bn |
| Jun 30, 2024 | 2.71 Bn |
| Mar 31, 2024 | 2.98 Bn |
| Dec 31, 2023 | 3.53 Bn |
| Sep 30, 2023 | 2.46 Bn |
| Jun 30, 2023 | 2.06 Bn |
| Mar 31, 2023 | 3.30 Bn |
| Dec 31, 2022 | 3.67 Bn |
| Sep 30, 2022 | 3.30 Bn |
| Jun 30, 2022 | 9.16 Bn |
| Mar 31, 2022 | 8.32 Bn |
| Dec 31, 2021 | 5.97 Bn |
Ericsson Lm Telephone Cash & Equivalents 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=cash-and-equivalents&ticker=ERIC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=ERIC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();