LG Display (LPL) Accumulated Expenses (2009 - 2026)
LG Display's (LPL) quarterly Accumulated Expenses came in at $421.4 million in Q2 2026, up 6.94% year-over-year from $394.0 million in Q2 2025, and up 11.85% quarter-over-quarter from $376.7 million in Q1 2026.
LG Display (LPL) Accumulated Expenses (2009 - 2026) Analysis & Trends
LG Display (LPL) has reported Accumulated Expenses for 18 consecutive years, with $421.4 million the latest figure, recorded in Q2 2026.
- On a quarterly basis, Accumulated Expenses rose 6.94% year-over-year to $421.4 million in Q2 2026; TTM through Jun 2026 was $421.4 million, a 6.94% increase from a year earlier, with the FY2025 full-year figure at $541.2 million, up 18.74% from the prior year.
- Accumulated Expenses was $421.4 million for Q2 2026 at LG Display, up from $376.7 million in the prior quarter.
- Over five years, Accumulated Expenses peaked at $561.8 million in Q3 2022 and troughed at -$35.7 million in Q4 2023.
- A 5-year average of $449.3 million and a median of $475.3 million in 2024 frame the typical range for Accumulated Expenses.
- Across the five-year window, Accumulated Expenses slumped 106.65% in 2023 and soared 1376.05% in 2024, its largest moves.
- Over 5 years, Accumulated Expenses stood at $537.1 million in 2022, then plunged by 106.65% to -$35.7 million in 2023, then soared by 1376.05% to $455.8 million in 2024, then climbed by 18.74% to $541.2 million in 2025, then retreated by 22.15% to $421.4 million in 2026.
- The last three Accumulated Expenses figures came in at $421.4 million (Q2 2026), $376.7 million (Q1 2026), and $541.2 million (Q4 2025), per Business Quant data.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Lumentum Holdings | 82.48 Bn | 79.74 Bn | 477.30 Mn |
| 2 | Coherent | 62.13 Bn | 60.48 Bn | 787.08 Mn |
| 3 | Zebra Technologies | 16.40 Bn | 16.24 Bn | 825.00 Mn |
| 4 | Littelfuse | 10.36 Bn | 9.73 Bn | 306.06 Mn |
| 5 | Vishay Intertechnology | 4.59 Bn | 3.29 Bn | 207.38 Mn |
| 6 | Knowles | 3.04 Bn | 2.99 Bn | 74.60 Mn |
| 7 | LG Display | 2.90 Bn | 2.73 Bn | 509.35 Mn |
| 8 | Hesai | 2.58 Bn | 1.60 Bn | 50.88 Mn |
| 9 | Bel Fuse | 2.45 Bn | 2.25 Bn | 83.97 Mn |
| 10 | Ouster | 2.40 Bn | 2.14 Bn | 26.69 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 421.36 Mn |
| Mar 31, 2026 | 376.70 Mn |
| Dec 31, 2025 | 541.21 Mn |
| Sep 30, 2025 | 492.92 Mn |
| Jun 30, 2025 | 394.00 Mn |
| Mar 31, 2025 | 369.52 Mn |
| Dec 31, 2024 | 455.80 Mn |
| Sep 30, 2024 | 467.81 Mn |
| Jun 30, 2024 | 460.37 Mn |
| Mar 31, 2024 | 446.69 Mn |
| Dec 31, 2023 | -35.72 Mn |
| Sep 30, 2023 | 546.13 Mn |
| Jun 30, 2023 | 485.90 Mn |
| Mar 31, 2023 | 482.70 Mn |
| Dec 31, 2022 | 537.08 Mn |
| Sep 30, 2022 | 561.79 Mn |
| Jun 30, 2022 | 542.54 Mn |
| Mar 31, 2022 | 541.26 Mn |
| Dec 31, 2021 | 1.03 Bn |
| Sep 30, 2021 | 751.21 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();