LG Display (LPL) Selling, General & Administrative (2009 - 2026)
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Analysis
LG Display (LPL) Selling, General & Administrative (2009 - 2026) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Lumentum Holdings | 82.48 Bn | 79.74 Bn | 477.30 Mn | 91.20 Mn |
| 2 | Coherent | 62.13 Bn | 60.48 Bn | 787.08 Mn | 266.36 Mn |
| 3 | Zebra Technologies | 16.40 Bn | 16.24 Bn | 825.00 Mn | 114.00 Mn |
| 4 | Littelfuse | 10.36 Bn | 9.73 Bn | 306.06 Mn | 120.58 Mn |
| 5 | Vishay Intertechnology | 4.59 Bn | 3.29 Bn | 207.38 Mn | 153.86 Mn |
| 6 | Knowles | 3.04 Bn | 2.99 Bn | 74.60 Mn | 39.20 Mn |
| 7 | LG Display | 2.90 Bn | 2.73 Bn | 509.35 Mn | -280.30 Mn |
| 8 | Hesai | 2.58 Bn | 1.60 Bn | 50.88 Mn | 9.87 Mn |
| 9 | Bel Fuse | 2.45 Bn | 2.25 Bn | 83.97 Mn | 36.29 Mn |
| 10 | Ouster | 2.40 Bn | 2.14 Bn | 26.69 Mn | 18.20 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -280.30 Mn |
| Mar 31, 2026 | -129.13 Mn |
| Dec 31, 2025 | -212.07 Mn |
| Sep 30, 2025 | -172.64 Mn |
| Jun 30, 2025 | -129.55 Mn |
| Mar 31, 2025 | -166.26 Mn |
| Dec 31, 2024 | -203.60 Mn |
| Sep 30, 2024 | -279.86 Mn |
| Jun 30, 2024 | -159.24 Mn |
| Mar 31, 2024 | -167.91 Mn |
| Dec 31, 2023 | -177.68 Mn |
| Sep 30, 2023 | -168.04 Mn |
| Jun 30, 2023 | -167.99 Mn |
| Mar 31, 2023 | -176.11 Mn |
| Dec 31, 2022 | -177.19 Mn |
| Sep 30, 2022 | -178.82 Mn |
| Jun 30, 2022 | -179.39 Mn |
| Mar 31, 2022 | -187.58 Mn |
| Dec 31, 2021 | -211.02 Mn |
| Sep 30, 2021 | -203.75 Mn |
API Access
LG Display Selling, General & Administrative 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=selling-general-and-administrative&ticker=LPL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=LPL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();