LG Display (LPL) Change in Taxes (2009 - 2026)
LG Display's (LPL) quarterly Change in Taxes came in at -$22.2 million in Q2 2026, up 72.93% year-over-year from -$12.9 million in Q2 2025, and down 6311.27% quarter-over-quarter from -$346888.9 in Q1 2026.
LG Display (LPL) Change in Taxes (2009 - 2026) Analysis & Trends
LG Display (LPL) has reported Change in Taxes for 5 consecutive years, with -$22.2 million the latest figure, recorded in Q2 2026.
- On a quarterly basis, Change in Taxes rose 72.93% year-over-year to -$22.2 million in Q2 2026; TTM through Jun 2026 was -$47.4 million, a 73.48% increase from a year earlier, with the FY2025 full-year figure at -$111.7 million, down 11.2% from the prior year.
- Change in Taxes was -$22.2 million for Q2 2026 at LG Display, down from -$346888.9 in the prior quarter.
- Over five years, Change in Taxes peaked at $78.5 million in Q3 2025 and troughed at -$142.6 million in Q3 2023.
- A 4-year average of -$32.5 million and a median of -$10.8 million in 2023 frame the typical range for Change in Taxes.
- The widest YoY moves for Change in Taxes: up 14394.51% in 2025, down 1009.69% in 2025.
- Over 4 years, Change in Taxes stood at -$14.1 million in 2023, then slumped by 551.9% to -$92.0 million in 2024, then fell by 12.34% to -$103.3 million in 2025, then soared by 78.47% to -$22.2 million in 2026.
- The last three Change in Taxes figures came in at -$22.2 million (Q2 2026), -$346888.9 (Q1 2026), and -$103.3 million (Q4 2025), per Business Quant data.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change in Taxes (Qtr) |
|---|---|---|---|---|---|
| 1 | Lumentum Holdings | 82.48 Bn | 79.74 Bn | 477.30 Mn | - |
| 2 | Coherent | 62.13 Bn | 60.48 Bn | 787.08 Mn | 39.27 Mn |
| 3 | Zebra Technologies | 16.40 Bn | 16.24 Bn | 825.00 Mn | -13.00 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 | -22.24 Mn |
| 8 | Hesai | 2.58 Bn | 1.60 Bn | 50.88 Mn | - |
| 9 | Bel Fuse | 2.45 Bn | 2.25 Bn | 83.97 Mn | 2.10 Mn |
| 10 | Ouster | 2.40 Bn | 2.14 Bn | 26.69 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -22.24 Mn |
| Mar 31, 2026 | -346,888.86 |
| Dec 31, 2025 | -103.30 Mn |
| Sep 30, 2025 | 78.49 Mn |
| Jun 30, 2025 | -82.17 Mn |
| Mar 31, 2025 | -4.01 Mn |
| Dec 31, 2024 | -91.95 Mn |
| Sep 30, 2024 | -549,115.14 |
| Jun 30, 2024 | -7.40 Mn |
| Mar 31, 2024 | -680,822.58 |
| Dec 31, 2023 | -14.11 Mn |
| Sep 30, 2023 | -142.59 Mn |
| Jun 30, 2023 | -63.54 Mn |
| Mar 31, 2023 | -692,234.53 |
| Dec 31, 2009 | -358.18 Mn |
| Sep 30, 2009 | 53.00 Mn |
| Jun 30, 2009 | 16.04 Mn |
| Mar 31, 2009 | -23.15 Mn |
LG Display Change in Taxes 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=change-in-taxes&ticker=LPL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-taxes", "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=change-in-taxes&ticker=LPL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();