LG Display (LPL) Receivables (2009 - 2026)
LG Display's Receivables was $1.59 billion in the quarter ended Jun 30, 2026, down 7.1% from $1.71 billion a year earlier and down 2.0% from the prior quarter.
LG Display (LPL) Receivables (2009 - 2026) Analysis & Trends
As of Dec 31, 2025, Receivables at LG Display came in at $1.88 billion, down 36.5% from the prior year.
- Receivables shows a five-year compound annual growth rate of -9.6% (years ended Dec 2020 to Dec 2025).
- In earlier years, Receivables was $2.96 billion in the year ended Dec 31, 2024 (+15.4%), $2.57 billion in the year ended Dec 31, 2023 (+30.6%), $1.97 billion in the year ended Dec 31, 2022 (-50.5%) and $3.97 billion in the year ended Dec 31, 2021 (+27.6%).
- The figure for the quarter ended Jun 30, 2026 marks the lowest quarterly Receivables since the quarter ended Dec 31, 2023.
- Compared with a year earlier, Receivables has declined for three straight quarters, with growth averaging 8.7% over the last eight quarters.
- The best year-over-year quarter for Receivables over five years was the quarter ended Dec 31, 2024 (growth of 149.9%); the worst was the quarter ended Dec 31, 2022 (a decline of 53.1%).
- Per Business Quant data, LPL's Receivables in the three quarters before the quarter ended Jun 30, 2026 was $1.62 billion (quarter ended Mar 31, 2026), $1.76 billion (quarter ended Dec 31, 2025) and $2.47 billion (quarter ended Sep 30, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Apple | 5,020.54 Bn | 4,766.00 Bn | 54.82 Bn | 83.71 Bn |
| 2 | Cisco Systems | 371.11 Bn | 307.04 Bn | 11.06 Bn | 9.40 Bn |
| 3 | Arista Networks | 215.34 Bn | 164.54 Bn | 2.33 Bn | 2.33 Bn |
| 4 | Dell Technologies | 212.13 Bn | 167.88 Bn | 9.83 Bn | 22.92 Bn |
| 5 | Sony | 161.14 Bn | 95.68 Bn | 7.96 Bn | - |
| 6 | Sandisk | 122.92 Bn | 107.75 Bn | 9.38 Bn | 94.00 Bn |
| 7 | Seagate Technology Holdings | 105.29 Bn | 100.14 Bn | 2.43 Bn | 1.94 Bn |
| 8 | Western Digital | 96.46 Bn | 86.29 Bn | 2.53 Bn | 2.23 Bn |
| 9 | Hewlett Packard Enterprise | 59.75 Bn | 37.63 Bn | 4.93 Bn | 6.57 Bn |
| 10 | LG Display | 2.54 Bn | -1.94 Bn | 509.35 Mn | 1.55 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.55 Bn |
| Mar 31, 2026 | 1.57 Bn |
| Dec 31, 2025 | 1.77 Bn |
| Sep 30, 2025 | 2.45 Bn |
| Jun 30, 2025 | 1.76 Bn |
| Mar 31, 2025 | 2.45 Bn |
| Dec 31, 2024 | 2.64 Bn |
| Sep 30, 2024 | 2.43 Bn |
| Jun 30, 2024 | 2.76 Bn |
| Mar 31, 2024 | 2.24 Bn |
| Dec 31, 2023 | 2.53 Bn |
| Sep 30, 2023 | 1.81 Bn |
| Jun 30, 2023 | 2.72 Bn |
| Mar 31, 2023 | 2.00 Bn |
| Dec 31, 2022 | 1.88 Bn |
| Sep 30, 2022 | 2.19 Bn |
| Jun 30, 2022 | 2.27 Bn |
| Mar 31, 2022 | 3.20 Bn |
| Dec 31, 2021 | 3.95 Bn |
| Sep 30, 2021 | 4.45 Bn |
LG Display Receivables 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=receivables&ticker=LPL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables", "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=receivables&ticker=LPL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();