LG Display (LPL) Exchange Rate Effect (2010 - 2026)
LG Display (LPL) recorded Exchange Rate Effect of $25.18 million in the quarter ended Jun 30, 2026, compared with -$83.9 million a year earlier and down 48.6% from the prior quarter.
Powered by 
Analysis
LG Display (LPL) Exchange Rate Effect (2010 - 2026) Analysis & Trends
On a TTM basis, LG Display's Exchange Rate Effect came in at $140.82 million as of Jun 30, 2026; for the year ended Dec 31, 2025, it came in at -$12.5 million.
- Across earlier years, Exchange Rate Effect came in at $149.66 million in the year ended Dec 31, 2024, -$8.65 million in the year ended Dec 31, 2023, $20.35 million in the year ended Dec 31, 2022 (-92.0%) and $252.89 million in the year ended Dec 31, 2021.
- Quarterly Exchange Rate Effect has ranged from -$89.12 million in the quarter ended Dec 31, 2022 to $115.89 million in the quarter ended Dec 31, 2024 over the past five years.
- Peak year-over-year performance for Exchange Rate Effect in the last five years was growth of 420.1% in the quarter ended Sep 30, 2021, against a decline of 90.5% in the quarter ended Mar 31, 2025 at the low end.
- Per Business Quant, the preceding three quarters came in at $49.01 million (quarter ended Mar 31, 2026), $30.01 million (quarter ended Dec 31, 2025) and $36.63 million (quarter ended Sep 30, 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | FX Effect (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 | 28.00 Mn |
| 3 | Dell Technologies | 293.18 Bn | 248.94 Bn | 9.83 Bn | -22.00 Mn |
| 4 | Arista Networks | 230.46 Bn | 183.91 Bn | 1.91 Bn | -1.00 Mn |
| 5 | Sandisk | 201.65 Bn | 190.18 Bn | 7.58 Bn | - |
| 6 | Sony | 148.11 Bn | 85.38 Bn | 6.53 Bn | 650.39 Mn |
| 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 | -30.00 Mn |
| 10 | LG Display | 2.68 Bn | -1.80 Bn | 509.35 Mn | 25.18 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 25.18 Mn |
| Mar 31, 2026 | 49.01 Mn |
| Dec 31, 2025 | 30.01 Mn |
| Sep 30, 2025 | 36.63 Mn |
| Jun 30, 2025 | -83.90 Mn |
| Mar 31, 2025 | 3.60 Mn |
| Dec 31, 2024 | 115.89 Mn |
| Sep 30, 2024 | -40.23 Mn |
| Jun 30, 2024 | 37.45 Mn |
| Mar 31, 2024 | 37.82 Mn |
| Dec 31, 2023 | -27.86 Mn |
| Sep 30, 2023 | 40.56 Mn |
| Jun 30, 2023 | -59.46 Mn |
| Mar 31, 2023 | 39.43 Mn |
| Dec 31, 2022 | -89.12 Mn |
| Sep 30, 2022 | 40.44 Mn |
| Jun 30, 2022 | 33.62 Mn |
| Mar 31, 2022 | 42.20 Mn |
| Dec 31, 2021 | 22.17 Mn |
| Sep 30, 2021 | 113.26 Mn |
API Access
LG Display Exchange Rate Effect 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=exchange-rate-effect&ticker=LPL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "exchange-rate-effect", "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=exchange-rate-effect&ticker=LPL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();