LG Display (LPL) Inventory (2009 - 2026)
LG Display (LPL) posted Inventory of $2.06 billion for the quarter ended Jun 30, 2026, up 0.5% from $2.05 billion a year earlier and up 8.1% from the prior quarter.
LG Display (LPL) Inventory (2009 - 2026) Analysis & Trends
As of Dec 31, 2025, LG Display's Inventory came in at $1.76 billion, down 8.3% from the prior year.
- Annual Inventory shows a five-year compound annual growth rate of -0.9% (years ended Dec 2020 to Dec 2025).
- In prior years, LG Display's Inventory was $1.92 billion in the year ended Dec 31, 2024 (+650.7%), $255.64 million in the year ended Dec 31, 2023 (-88.6%), $2.23 billion in the year ended Dec 31, 2022 (-21.1%) and $2.83 billion in the year ended Dec 31, 2021 (+53.5%).
- Quarterly Inventory has run from a low of $255.64 million in the quarter ended Dec 31, 2023 to a high of $3.76 billion in the quarter ended Jun 30, 2022 over five years.
- On a year-over-year basis, Inventory increased in two of the last eight quarters, with growth averaging 74.4%.
- The strongest year-over-year quarter for Inventory in the past five years was the quarter ended Dec 31, 2024, with growth of 650.7%; the weakest was the quarter ended Dec 31, 2023, with a decline of 87.9%.
- According to Business Quant data, Inventory for the three prior quarters was $1.91 billion (quarter ended Mar 31, 2026), $1.76 billion (quarter ended Dec 31, 2025) and $2.23 billion (quarter ended Sep 30, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Inventory (Qtr) |
|---|---|---|---|---|---|
| 1 | Apple | 5,028.22 Bn | 4,775.71 Bn | 54.77 Bn | 11.09 Bn |
| 2 | Cisco Systems | 420.88 Bn | 356.80 Bn | 11.06 Bn | 5.69 Bn |
| 3 | Dell Technologies | 293.18 Bn | 248.94 Bn | 9.83 Bn | 21.29 Bn |
| 4 | Arista Networks | 230.46 Bn | 183.91 Bn | 1.91 Bn | 2.54 Bn |
| 5 | Sandisk | 201.65 Bn | 190.18 Bn | 7.58 Bn | 2.70 Bn |
| 6 | Sony | 148.11 Bn | 85.38 Bn | 6.53 Bn | 8.43 Bn |
| 7 | Seagate Technology Holdings | 144.57 Bn | 139.56 Bn | 1.90 Bn | 1.57 Bn |
| 8 | Western Digital | 121.56 Bn | 109.69 Bn | 2.03 Bn | 1.51 Bn |
| 9 | Hewlett Packard Enterprise | 74.47 Bn | 52.35 Bn | 4.93 Bn | 11.82 Bn |
| 10 | LG Display | 2.68 Bn | -1.80 Bn | 509.35 Mn | 2.01 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.01 Bn |
| Mar 31, 2026 | 1.84 Bn |
| Dec 31, 2025 | 1.77 Bn |
| Sep 30, 2025 | 2.21 Bn |
| Jun 30, 2025 | 2.10 Bn |
| Mar 31, 2025 | 2.01 Bn |
| Dec 31, 2024 | 1.82 Bn |
| Sep 30, 2024 | 2.55 Bn |
| Jun 30, 2024 | 2.22 Bn |
| Mar 31, 2024 | 2.50 Bn |
| Dec 31, 2023 | 1.98 Bn |
| Sep 30, 2023 | 2.48 Bn |
| Jun 30, 2023 | 2.03 Bn |
| Mar 31, 2023 | 2.17 Bn |
| Dec 31, 2022 | 2.28 Bn |
| Sep 30, 2022 | 3.16 Bn |
| Jun 30, 2022 | 3.63 Bn |
| Mar 31, 2022 | 3.49 Bn |
| Dec 31, 2021 | 2.82 Bn |
| Sep 30, 2021 | 1.98 Bn |
LG Display Inventory 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=inventory&ticker=LPL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "inventory", "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=inventory&ticker=LPL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();