Ericsson Lm Telephone (ERIC) Operating Leases (2019 - 2026)
Ericsson Lm Telephone's Operating Leases came in at $667.04 million for the quarter ended Jun 30, 2026, up 38.4% from $481.87 million a year earlier but down 0.3% from the prior quarter.
Ericsson Lm Telephone (ERIC) Operating Leases (2019 - 2026) Analysis & Trends
As of Dec 31, 2025, Ericsson Lm Telephone's Operating Leases was $589.82 million, up 16.1% from the prior year.
- Operating Leases carries a five-year compound annual growth rate of -5.3% (years ended Dec 2020 to Dec 2025).
- Going back by year, Operating Leases was $508.07 million in the year ended Dec 31, 2024 (+3.1%), $492.64 million in the year ended Dec 31, 2023 (-27.2%), $677.09 million in the year ended Dec 31, 2022 (-18.0%) and $826.15 million in the year ended Dec 31, 2021 (+6.6%).
- The five-year range for quarterly Operating Leases is $457.64 million (the quarter ended Sep 30, 2024) to $815.03 million (the quarter ended Sep 30, 2021).
- Year-over-year, Operating Leases has increased for five consecutive quarters, with growth averaging 14.3% over the last eight quarters.
- The fastest year-over-year change in Operating Leases over five years came in the quarter ended Mar 31, 2026 (growth of 43.7%), and the weakest in the quarter ended Sep 30, 2023 (a decline of 23.5%).
- Business Quant data shows ERIC's Operating Leases at $669.11 million (quarter ended Mar 31, 2026), $613.72 million (quarter ended Dec 31, 2025) and $586.92 million (quarter ended Sep 30, 2025) in the three quarters before the quarter ended Jun 30, 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Apple | 5,049.76 Bn | 4,797.25 Bn | 54.77 Bn |
| 2 | Cisco Systems | 423.70 Bn | 359.63 Bn | 11.06 Bn |
| 3 | Dell Technologies | 311.75 Bn | 267.50 Bn | 9.83 Bn |
| 4 | Arista Networks | 229.79 Bn | 183.25 Bn | 1.91 Bn |
| 5 | Sandisk | 202.68 Bn | 191.20 Bn | 7.58 Bn |
| 6 | Seagate Technology Holdings | 152.61 Bn | 147.61 Bn | 1.90 Bn |
| 7 | Sony | 150.51 Bn | 87.77 Bn | 6.53 Bn |
| 8 | Western Digital | 128.55 Bn | 116.68 Bn | 2.03 Bn |
| 9 | Hewlett Packard Enterprise | 76.63 Bn | 54.50 Bn | 4.93 Bn |
| 10 | Ericsson Lm Telephone | 34.71 Bn | 12.33 Bn | 2.90 Bn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 627.32 Mn |
| Jun 30, 2026 | 643.12 Mn |
| Mar 31, 2026 | 639.00 Mn |
| Dec 31, 2025 | 627.75 Mn |
| Sep 30, 2025 | 592.65 Mn |
| Jun 30, 2025 | 492.25 Mn |
| Mar 31, 2025 | 496.59 Mn |
| Dec 31, 2024 | 486.49 Mn |
| Sep 30, 2024 | 472.79 Mn |
| Jun 30, 2024 | 483.65 Mn |
| Mar 31, 2024 | 494.03 Mn |
| Dec 31, 2023 | 523.51 Mn |
| Sep 30, 2023 | 518.44 Mn |
| Jun 30, 2023 | 560.81 Mn |
| Mar 31, 2023 | 619.40 Mn |
| Dec 31, 2022 | 652.30 Mn |
| Sep 30, 2022 | 647.29 Mn |
| Jun 30, 2022 | 693.47 Mn |
| Mar 31, 2022 | 761.94 Mn |
| Dec 31, 2021 | 782.49 Mn |
Ericsson Lm Telephone Operating Leases 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-leases&ticker=ERIC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-leases", "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-leases&ticker=ERIC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();