LG Display (LPL) Accumulated Expenses (2009 - 2026)
LG Display's Accumulated Expenses came in at $421.36 million for the quarter ended Jun 30, 2026, up 6.9% from $394 million a year earlier and up 11.9% from the prior quarter.
LG Display (LPL) Accumulated Expenses (2009 - 2026) Analysis & Trends
As of Dec 31, 2025, LG Display's Accumulated Expenses was $541.21 million, up 18.7% from the prior year.
- Accumulated Expenses carries a five-year compound annual growth rate of -0.5% (years ended Dec 2020 to Dec 2025).
- Going back by year, Accumulated Expenses was $455.8 million in the year ended Dec 31, 2024, -$35.72 million in the year ended Dec 31, 2023, $566.76 million in the year ended Dec 31, 2022 (-45.0%) and $1.03 billion in the year ended Dec 31, 2021 (+85.9%).
- The five-year range for quarterly Accumulated Expenses is -$35.72 million (the quarter ended Dec 31, 2023) to $1.03 billion (the quarter ended Dec 31, 2021).
- Year-over-year, Accumulated Expenses has increased for four consecutive quarters, with an average decline of 1.9% over the last seven quarters.
- The fastest year-over-year change in Accumulated Expenses over five years came in the quarter ended Dec 31, 2021 (growth of 76.6%), and the weakest in the quarter ended Dec 31, 2022 (a decline of 47.8%).
- Business Quant data shows LPL's Accumulated Expenses at $376.7 million (quarter ended Mar 31, 2026), $541.21 million (quarter ended Dec 31, 2025) and $492.92 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 | 5,028.22 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 | 410.00 Mn |
| Mar 31, 2026 | 363.14 Mn |
| Dec 31, 2025 | 544.23 Mn |
| Sep 30, 2025 | 487.72 Mn |
| Jun 30, 2025 | 404.27 Mn |
| Mar 31, 2025 | 364.46 Mn |
| Dec 31, 2024 | 432.38 Mn |
| Sep 30, 2024 | 484.11 Mn |
| Jun 30, 2024 | 454.57 Mn |
| Mar 31, 2024 | 439.42 Mn |
| Dec 31, 2023 | 507.85 Mn |
| Sep 30, 2023 | 531.75 Mn |
| Jun 30, 2023 | 482.61 Mn |
| Mar 31, 2023 | 474.37 Mn |
| Dec 31, 2022 | 578.61 Mn |
| Sep 30, 2022 | 525.15 Mn |
| Jun 30, 2022 | 524.12 Mn |
| Mar 31, 2022 | 538.51 Mn |
| Dec 31, 2021 | 1.02 Bn |
| Sep 30, 2021 | 732.12 Mn |
LG Display 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=accumulated-expenses&ticker=LPL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "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=accumulated-expenses&ticker=LPL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();