Ericsson Lm Telephone (ERIC) Change in Property, Plant and Equipment (2009 - 2026)
Ericsson Lm Telephone's Change in Property, Plant and Equipment came in at $96.38 million for Q3 2026, up 67.2% from $57.63 million a year earlier and up 36.7% from the prior quarter.
Ericsson Lm Telephone (ERIC) Change in Property, Plant and Equipment (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Sep 30, 2026, Ericsson Lm Telephone reported Change in Property, Plant and Equipment of $332.13 million, up 30.2% year-over-year; for FY2025, it was -$249.13 million.
- Going back by year, Change in Property, Plant and Equipment was -$210.69 million in FY2024, -$295.77 million in FY2023, -$419.88 million in FY2022 and -$414.06 million in FY2021.
- The Q3 2026 figure represents the highest quarterly Change in Property, Plant and Equipment since Q4 2022.
- Year-over-year, Change in Property, Plant and Equipment increased in five of the last eight quarters, with growth averaging 21.8%.
- The fastest year-over-year change in Change in Property, Plant and Equipment over five years came in Q4 2022 (growth of 77.3%), and the weakest in Q1 2024 (a decline of 53.4%).
- Business Quant data shows ERIC's Change in Property, Plant and Equipment at $70.51 million (Q2 2026), $69.03 million (Q1 2026) and $96.23 million (Q4 2025) in the three quarters before Q3 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change in PP&E (Qtr) |
|---|---|---|---|---|---|
| 1 | Apple | 5,079.97 Bn | 4,827.46 Bn | 54.77 Bn | -2.46 Bn |
| 2 | Cisco Systems | 420.25 Bn | 356.18 Bn | 11.06 Bn | -390.00 Mn |
| 3 | Dell Technologies | 292.20 Bn | 247.96 Bn | 9.83 Bn | -1.24 Bn |
| 4 | Arista Networks | 217.24 Bn | 170.70 Bn | 1.91 Bn | -29.70 Mn |
| 5 | Sandisk | 180.75 Bn | 169.27 Bn | 7.58 Bn | -43.00 Mn |
| 6 | Sony | 160.45 Bn | 100.21 Bn | 6.53 Bn | 895.49 Mn |
| 7 | Seagate Technology Holdings | 142.99 Bn | 137.98 Bn | 1.90 Bn | -156.00 Mn |
| 8 | Western Digital | 128.64 Bn | 118.47 Bn | 2.53 Bn | -227.00 Mn |
| 9 | Hewlett Packard Enterprise | 75.30 Bn | 53.18 Bn | 4.93 Bn | -653.00 Mn |
| 10 | Ericsson Lm Telephone | 35.94 Bn | 13.55 Bn | 2.90 Bn | 96.38 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 96.38 Mn |
| Jun 30, 2026 | 70.51 Mn |
| Mar 31, 2026 | 69.03 Mn |
| Dec 31, 2025 | 96.23 Mn |
| Sep 30, 2025 | 57.63 Mn |
| Jun 30, 2025 | 62.13 Mn |
| Mar 31, 2025 | 71.95 Mn |
| Dec 31, 2024 | 63.36 Mn |
| Sep 30, 2024 | 55.30 Mn |
| Jun 30, 2024 | 69.37 Mn |
| Mar 31, 2024 | 44.14 Mn |
| Dec 31, 2023 | 71.12 Mn |
| Sep 30, 2023 | 80.38 Mn |
| Jun 30, 2023 | 80.65 Mn |
| Mar 31, 2023 | 94.63 Mn |
| Dec 31, 2022 | 147.25 Mn |
| Sep 30, 2022 | 111.92 Mn |
| Jun 30, 2022 | 113.57 Mn |
| Mar 31, 2022 | 91.76 Mn |
| Dec 31, 2021 | 83.05 Mn |
Ericsson Lm Telephone Change in Property, Plant and Equipment 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=change-in-property-plant-and-equipment&ticker=ERIC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-property-plant-and-equipment", "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=change-in-property-plant-and-equipment&ticker=ERIC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();