LG Display (LPL) Amortization - Intangibles (2009 - 2023)
LG Display's (LPL) quarterly Amortization - Intangibles came in at $20.5 billion in Q4 2023, up 14.08% year-over-year from $17.9 billion in Q4 2022, and up 14.08% quarter-over-quarter from $17.9 billion in Q4 2022.
LG Display (LPL) Amortization - Intangibles (2009 - 2023) Analysis & Trends
LG Display (LPL) has reported Amortization - Intangibles for 15 consecutive years, with $20.5 billion the latest figure, recorded in Q4 2023.
- On a quarterly basis, Amortization - Intangibles rose 14.08% year-over-year to $20.5 billion in Q4 2023; TTM through Dec 2023 was $78.2 billion, a 1.06% increase from a year earlier, with the FY2023 full-year figure at $20.5 billion, up 14.08% from the prior year.
- Amortization - Intangibles was $20.5 billion for Q4 2023 at LG Display, up from $17.9 billion in the prior quarter.
- Over five years, Amortization - Intangibles peaked at $20.5 billion in Q4 2023 and troughed at $17.9 billion in Q4 2022.
- A 5-year average of $19.6 billion and a median of $19.8 billion in 2021 frame the typical range for Amortization - Intangibles.
- Across the five-year window, Amortization - Intangibles rose 21.07% in 2019 and fell 9.21% in 2022, its largest moves.
- Over 5 years, Amortization - Intangibles stood at $19.6 billion in 2019, then increased by 1.66% to $20.0 billion in 2020, then decreased by 1.05% to $19.8 billion in 2021, then decreased by 9.21% to $17.9 billion in 2022, then advanced by 14.08% to $20.5 billion in 2023.
- The last three Amortization - Intangibles figures came in at $20.5 billion (Q4 2023), $17.9 billion (Q4 2022), and $19.8 billion (Q4 2021), per Business Quant data.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Lumentum Holdings | 82.48 Bn | 79.74 Bn | 477.30 Mn |
| 2 | Coherent | 62.13 Bn | 60.48 Bn | 787.08 Mn |
| 3 | Zebra Technologies | 16.40 Bn | 16.24 Bn | 825.00 Mn |
| 4 | Littelfuse | 10.36 Bn | 9.73 Bn | 306.06 Mn |
| 5 | Vishay Intertechnology | 4.59 Bn | 3.29 Bn | 207.38 Mn |
| 6 | Knowles | 3.04 Bn | 2.99 Bn | 74.60 Mn |
| 7 | LG Display | 2.90 Bn | 2.73 Bn | 509.35 Mn |
| 8 | Hesai | 2.58 Bn | 1.60 Bn | 50.88 Mn |
| 9 | Bel Fuse | 2.45 Bn | 2.25 Bn | 83.97 Mn |
| 10 | Ouster | 2.40 Bn | 2.14 Bn | 26.69 Mn |
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2023 | 20.47 Bn |
| Dec 31, 2022 | 17.95 Bn |
| Dec 31, 2021 | 19.77 Bn |
| Dec 31, 2020 | 19.98 Bn |
| Dec 31, 2019 | 19.65 Bn |
| Dec 31, 2018 | 16.23 Bn |
| Dec 31, 2017 | 12.81 Bn |
| Dec 31, 2016 | 9.89 Bn |
| Dec 31, 2015 | 8.54 Bn |
| Dec 31, 2014 | 10.32 Bn |
| Dec 31, 2013 | 10.30 Bn |
| Dec 31, 2012 | 13.08 Bn |
| Dec 31, 2011 | 13.15 Bn |
| Dec 31, 2010 | 11.31 |
| Dec 31, 2009 | 8.30 Bn |
LG Display Amortization - Intangibles 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=amortization-intangibles&ticker=LPL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "amortization-intangibles", "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=amortization-intangibles&ticker=LPL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();