LG Display (LPL) Selling, General & Administrative (2009 - 2026)
LG Display's Selling, General & Administrative came in at -$280.3 million for the quarter ended Jun 30, 2026, compared with -$129.55 million a year earlier.
LG Display (LPL) Selling, General & Administrative (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, LG Display reported Selling, General & Administrative of -$794.14 million; for the year ended Dec 31, 2025, it came in at -$669.39 million.
- Going back by year, Selling, General & Administrative was -$792.84 million in the year ended Dec 31, 2024, -$682.65 million in the year ended Dec 31, 2023, -$723.7 million in the year ended Dec 31, 2022 and -$776.92 million in the year ended Dec 31, 2021.
- The figure for the quarter ended Jun 30, 2026 represents the lowest quarterly Selling, General & Administrative since the quarter ended Dec 31, 2018.
- Business Quant data shows LPL's Selling, General & Administrative at -$129.13 million (quarter ended Mar 31, 2026), -$212.07 million (quarter ended Dec 31, 2025) and -$172.64 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) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Apple | 5,028.22 Bn | 4,775.71 Bn | 54.77 Bn | 7.35 Bn |
| 2 | Cisco Systems | 420.88 Bn | 356.80 Bn | 11.06 Bn | 679.00 Mn |
| 3 | Dell Technologies | 293.18 Bn | 248.94 Bn | 9.83 Bn | 3.34 Bn |
| 4 | Arista Networks | 230.46 Bn | 183.91 Bn | 1.91 Bn | 33.80 Mn |
| 5 | Sandisk | 201.65 Bn | 190.18 Bn | 7.58 Bn | 197.00 Mn |
| 6 | Sony | 148.11 Bn | 85.38 Bn | 6.53 Bn | 3.57 Bn |
| 7 | Seagate Technology Holdings | 144.57 Bn | 139.56 Bn | 1.90 Bn | 147.00 Mn |
| 8 | Western Digital | 121.56 Bn | 109.69 Bn | 2.03 Bn | 138.00 Mn |
| 9 | Hewlett Packard Enterprise | 74.47 Bn | 52.35 Bn | 4.93 Bn | 1.96 Bn |
| 10 | LG Display | 2.68 Bn | -1.80 Bn | 509.35 Mn | -280.30 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -280.30 Mn |
| Mar 31, 2026 | -129.13 Mn |
| Dec 31, 2025 | -212.07 Mn |
| Sep 30, 2025 | -172.64 Mn |
| Jun 30, 2025 | -129.55 Mn |
| Mar 31, 2025 | -166.26 Mn |
| Dec 31, 2024 | -203.60 Mn |
| Sep 30, 2024 | -279.86 Mn |
| Jun 30, 2024 | -159.24 Mn |
| Mar 31, 2024 | -167.91 Mn |
| Dec 31, 2023 | -177.68 Mn |
| Sep 30, 2023 | -168.04 Mn |
| Jun 30, 2023 | -167.99 Mn |
| Mar 31, 2023 | -176.11 Mn |
| Dec 31, 2022 | -177.19 Mn |
| Sep 30, 2022 | -178.82 Mn |
| Jun 30, 2022 | -179.39 Mn |
| Mar 31, 2022 | -187.58 Mn |
| Dec 31, 2021 | -211.02 Mn |
| Sep 30, 2021 | -203.75 Mn |
LG Display 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=LPL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "ticker": "LPL", "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=LPL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();