LG Display (LPL) Inventory Average (2009 - 2026)
LG Display's (LPL) quarterly Inventory Average came in at $2.0 billion in Q2 2026, down 2.98% year-over-year from $2.0 billion in Q2 2025, and up 8.2% quarter-over-quarter from $1.8 billion in Q1 2026.
LG Display (LPL) Inventory Average (2009 - 2026) Analysis & Trends
LG Display (LPL) has reported Inventory Average for 18 consecutive years, with $2.0 billion the latest figure, recorded in Q2 2026.
- On a quarterly basis, Inventory Average fell 2.98% year-over-year to $2.0 billion in Q2 2026; TTM through Jun 2026 was $2.0 billion, a 2.98% decrease from a year earlier, with the FY2025 full-year figure at $1.8 billion, up 69.2% from the prior year.
- Inventory Average was $2.0 billion for Q2 2026 at LG Display, up from $1.8 billion in the prior quarter.
- Over five years, Inventory Average peaked at $3.6 billion in Q2 2022 and troughed at $1.4 billion in Q1 2024.
- A 5-year average of $2.3 billion and a median of $2.2 billion in 2025 frame the typical range for Inventory Average.
- Across the five-year window, Inventory Average soared 59.91% in 2022 and tumbled 48.91% in 2023, its largest moves.
- Over 5 years, Inventory Average stood at $2.7 billion in 2022, then tumbled by 48.91% to $1.4 billion in 2023, then soared by 56.13% to $2.2 billion in 2024, then declined by 8.97% to $2.0 billion in 2025, then dropped by 0.54% to $2.0 billion in 2026.
- The last three Inventory Average figures came in at $2.0 billion (Q2 2026), $1.8 billion (Q1 2026), and $2.0 billion (Q4 2025), per Business Quant data.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Inventory Avg. (Qtr) |
|---|---|---|---|---|---|
| 1 | Lumentum Holdings | 82.48 Bn | 79.74 Bn | 477.30 Mn | 662.20 Mn |
| 2 | Coherent | 62.13 Bn | 60.48 Bn | 787.08 Mn | 2.35 Bn |
| 3 | Zebra Technologies | 16.40 Bn | 16.24 Bn | 825.00 Mn | 712.50 Mn |
| 4 | Littelfuse | 10.36 Bn | 9.73 Bn | 306.06 Mn | 426.34 Mn |
| 5 | Vishay Intertechnology | 4.59 Bn | 3.29 Bn | 207.38 Mn | 798.95 Mn |
| 6 | Knowles | 3.04 Bn | 2.99 Bn | 74.60 Mn | 141.65 Mn |
| 7 | LG Display | 2.90 Bn | 2.73 Bn | 509.35 Mn | 1.98 Bn |
| 8 | Hesai | 2.58 Bn | 1.60 Bn | 50.88 Mn | 116.32 Mn |
| 9 | Bel Fuse | 2.45 Bn | 2.25 Bn | 83.97 Mn | 190.73 Mn |
| 10 | Ouster | 2.40 Bn | 2.14 Bn | 26.69 Mn | 30.65 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.98 Bn |
| Mar 31, 2026 | 1.83 Bn |
| Dec 31, 2025 | 1.99 Bn |
| Sep 30, 2025 | 2.14 Bn |
| Jun 30, 2025 | 2.04 Bn |
| Mar 31, 2025 | 1.98 Bn |
| Dec 31, 2024 | 2.19 Bn |
| Sep 30, 2024 | 2.36 Bn |
| Jun 30, 2024 | 2.39 Bn |
| Mar 31, 2024 | 1.40 Bn |
| Dec 31, 2023 | 1.40 Bn |
| Sep 30, 2023 | 2.30 Bn |
| Jun 30, 2023 | 2.12 Bn |
| Mar 31, 2023 | 2.16 Bn |
| Dec 31, 2022 | 2.75 Bn |
| Sep 30, 2022 | 3.57 Bn |
| Jun 30, 2022 | 3.63 Bn |
| Mar 31, 2022 | 3.17 Bn |
| Dec 31, 2021 | 2.43 Bn |
| Sep 30, 2021 | 2.23 Bn |
LG Display Inventory Average 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-average&ticker=LPL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "inventory-average", "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-average&ticker=LPL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();