Ericsson Lm Telephone (ERIC) Operating Leases (2019 - 2026)
Ericsson Lm Telephone's Operating Leases came in at $627.32 million for Q3 2026, up 5.9% from $592.65 million a year earlier but down 2.5% from the prior quarter.
Ericsson Lm Telephone (ERIC) Operating Leases (2019 - 2026) Analysis & Trends
At the end of FY2025, Ericsson Lm Telephone's Operating Leases was $627.75 million, up 29.0% from FY2024.
- Operating Leases carries a five-year compound annual growth rate of -6.3% (FY2020 to FY2025).
- Going back by year, Operating Leases was $486.49 million in FY2024 (-7.1%), $523.51 million in FY2023 (-19.7%), $652.3 million in FY2022 (-16.6%) and $782.49 million in FY2021 (-9.8%).
- The five-year range for quarterly Operating Leases is $472.79 million (Q3 2024) to $782.49 million (Q4 2021).
- Year-over-year, Operating Leases has increased for seven 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 Q2 2026 (growth of 30.6%), and the weakest in Q1 2024 (a decline of 20.2%).
- Business Quant data shows ERIC's Operating Leases at $643.12 million (Q2 2026), $639 million (Q1 2026) and $627.75 million (Q4 2025) in the three quarters before Q3 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Apple | 5,090.84 Bn | 4,836.31 Bn | 54.82 Bn |
| 2 | Cisco Systems | 390.99 Bn | 326.92 Bn | 11.06 Bn |
| 3 | Arista Networks | 240.45 Bn | 189.65 Bn | 2.33 Bn |
| 4 | Dell Technologies | 219.04 Bn | 174.80 Bn | 9.83 Bn |
| 5 | Sony | 158.27 Bn | 38.21 Bn | - |
| 6 | Sandisk | 129.40 Bn | 114.23 Bn | 9.38 Bn |
| 7 | Seagate Technology Holdings | 114.31 Bn | 109.16 Bn | 2.43 Bn |
| 8 | Western Digital | 105.81 Bn | 95.63 Bn | 2.53 Bn |
| 9 | Hewlett Packard Enterprise | 63.81 Bn | 41.69 Bn | 4.93 Bn |
| 10 | Ericsson Lm Telephone | 35.23 Bn | 19.28 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();