LG Display (LPL) Other Accumulated Expenses (2009 - 2026)
LG Display's Other Accumulated Expenses came in at $70.46 million for the quarter ended Jun 30, 2026, up 14.1% from $61.75 million a year earlier and up 23.4% from the prior quarter.
LG Display (LPL) Other Accumulated Expenses (2009 - 2026) Analysis & Trends
As of Dec 31, 2025, LG Display's Other Accumulated Expenses was $59.02 million, down 6.9% from the prior year.
- Other Accumulated Expenses carries a five-year compound annual growth rate of 10.3% (years ended Dec 2020 to Dec 2025).
- Going back by year, Other Accumulated Expenses was $63.4 million in the year ended Dec 31, 2024, -$25.31 million in the year ended Dec 31, 2023, $68.12 million in the year ended Dec 31, 2022 (+12.8%) and $60.36 million in the year ended Dec 31, 2021 (+67.1%).
- The figure for the quarter ended Jun 30, 2026 represents the highest quarterly Other Accumulated Expenses since the quarter ended Sep 30, 2022.
- Year-over-year, Other Accumulated Expenses increased in four of the last seven quarters, with growth averaging 14.0%.
- The fastest year-over-year change in Other Accumulated Expenses over five years came in the quarter ended Mar 31, 2022 (growth of 407.3%), and the weakest in the quarter ended Mar 31, 2023 (a decline of 75.9%).
- Business Quant data shows LPL's Other Accumulated Expenses at $57.11 million (quarter ended Mar 31, 2026), $59.02 million (quarter ended Dec 31, 2025) and $57 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 | 5,028.22 Bn | 4,775.71 Bn | 54.77 Bn |
| 2 | Cisco Systems | 420.88 Bn | 356.80 Bn | 11.06 Bn |
| 3 | Dell Technologies | 293.18 Bn | 248.94 Bn | 9.83 Bn |
| 4 | Arista Networks | 230.46 Bn | 183.91 Bn | 1.91 Bn |
| 5 | Sandisk | 201.65 Bn | 190.18 Bn | 7.58 Bn |
| 6 | Sony | 148.11 Bn | 85.38 Bn | 6.53 Bn |
| 7 | Seagate Technology Holdings | 144.57 Bn | 139.56 Bn | 1.90 Bn |
| 8 | Western Digital | 121.56 Bn | 109.69 Bn | 2.03 Bn |
| 9 | Hewlett Packard Enterprise | 74.47 Bn | 52.35 Bn | 4.93 Bn |
| 10 | LG Display | 2.68 Bn | -1.80 Bn | 509.35 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 68.56 Mn |
| Mar 31, 2026 | 55.05 Mn |
| Dec 31, 2025 | 59.35 Mn |
| Sep 30, 2025 | 56.40 Mn |
| Jun 30, 2025 | 63.36 Mn |
| Mar 31, 2025 | 36.18 Mn |
| Dec 31, 2024 | 60.14 Mn |
| Sep 30, 2024 | 55.97 Mn |
| Jun 30, 2024 | 40.89 Mn |
| Mar 31, 2024 | 37.99 Mn |
| Dec 31, 2023 | 65.79 Mn |
| Sep 30, 2023 | 61.39 Mn |
| Jun 30, 2023 | 50.70 Mn |
| Mar 31, 2023 | 58.51 Mn |
| Dec 31, 2022 | 69.54 Mn |
| Sep 30, 2022 | 86.12 Mn |
| Jun 30, 2022 | 80.24 Mn |
| Mar 31, 2022 | 246.01 Mn |
| Dec 31, 2021 | 60.04 Mn |
| Sep 30, 2021 | 45.46 Mn |
LG Display Other Accumulated Expenses 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=other-accumulated-expenses&ticker=LPL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-accumulated-expenses", "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=other-accumulated-expenses&ticker=LPL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();