Ericsson Lm Telephone (ERIC) Selling, General & Administrative (2009 - 2026)
Ericsson Lm Telephone (ERIC) posted Selling, General & Administrative of -$826.43 million for the quarter ended Jun 30, 2026, compared with -$845.68 million a year earlier.
Ericsson Lm Telephone (ERIC) Selling, General & Administrative (2009 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Selling, General & Administrative at Ericsson Lm Telephone was -$3.5 billion; for the year ended Dec 31, 2025, it came in at -$3.44 billion.
- In prior years, Ericsson Lm Telephone's Selling, General & Administrative was -$4.89 billion in the year ended Dec 31, 2024, -$3.7 billion in the year ended Dec 31, 2023, -$3.54 billion in the year ended Dec 31, 2022 and -$3.15 billion in the year ended Dec 31, 2021.
- The figure for the quarter ended Jun 30, 2026 stands as the highest quarterly Selling, General & Administrative since the quarter ended Mar 31, 2025.
- According to Business Quant data, Selling, General & Administrative for the three prior quarters was -$891.31 million (quarter ended Mar 31, 2026), -$953.86 million (quarter ended Dec 31, 2025) and -$832.16 million (quarter ended Sep 30, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Apple | 4,865.08 Bn | 4,612.57 Bn | 54.77 Bn | 7.35 Bn |
| 2 | Cisco Systems | 424.71 Bn | 360.64 Bn | 11.06 Bn | 679.00 Mn |
| 3 | Dell Technologies | 344.52 Bn | 300.28 Bn | 9.83 Bn | 3.34 Bn |
| 4 | Arista Networks | 256.79 Bn | 210.25 Bn | 1.91 Bn | 33.80 Mn |
| 5 | Sandisk | 254.02 Bn | 242.55 Bn | 7.58 Bn | 197.00 Mn |
| 6 | Seagate Technology Holdings | 209.18 Bn | 204.17 Bn | 1.90 Bn | 147.00 Mn |
| 7 | Western Digital | 164.06 Bn | 152.19 Bn | 2.03 Bn | 138.00 Mn |
| 8 | Sony | 144.83 Bn | 95.22 Bn | 6.53 Bn | 3.57 Bn |
| 9 | Lumentum Holdings | 86.05 Bn | 77.87 Bn | 477.30 Mn | 91.20 Mn |
| 10 | Ericsson Lm Telephone | 30.85 Bn | 8.97 Bn | 2.58 Bn | -826.43 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -826.43 Mn |
| Mar 31, 2026 | -891.31 Mn |
| Dec 31, 2025 | -953.86 Mn |
| Sep 30, 2025 | -832.16 Mn |
| Jun 30, 2025 | -845.68 Mn |
| Mar 31, 2025 | -807.63 Mn |
| Dec 31, 2024 | -978.06 Mn |
| Sep 30, 2024 | -900.49 Mn |
| Jun 30, 2024 | -2.16 Bn |
| Mar 31, 2024 | -837.68 Mn |
| Dec 31, 2023 | -927.88 Mn |
| Sep 30, 2023 | -890.55 Mn |
| Jun 30, 2023 | -1.01 Bn |
| Mar 31, 2023 | -874.21 Mn |
| Dec 31, 2022 | -1.10 Bn |
| Sep 30, 2022 | -897.01 Mn |
| Jun 30, 2022 | -802.50 Mn |
| Mar 31, 2022 | -706.23 Mn |
| Dec 31, 2021 | -861.02 Mn |
| Sep 30, 2021 | -714.81 Mn |
Ericsson Lm Telephone Selling, General & Administrative 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=selling-general-and-administrative&ticker=ERIC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=ERIC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();