LG Display (LPL) Amortizatization of Intangibles (2009)
LG Display's (LPL) quarterly Amortizatization of Intangibles came in at $28.6 million in Q4 2009, up 218.14% quarter-over-quarter from $9.0 million in Q3 2009.
LG Display (LPL) Amortizatization of Intangibles (2009) Analysis & Trends
LG Display (LPL) has reported Amortizatization of Intangibles for 1 consecutive years, with $28.6 million the latest figure, recorded in Q4 2009.
- On a quarterly basis, Amortizatization of Intangibles changed N/A year-over-year to $28.6 million in Q4 2009; TTM through Dec 2009 was $51.7 million, a N/A change from a year earlier, with the FY2018 full-year figure at $392.2 million, up 4.78% from the prior year.
- Amortizatization of Intangibles was $28.6 million for Q4 2009 at LG Display, up from $9.0 million in the prior quarter.
- Over five years, Amortizatization of Intangibles peaked at $28.6 million in Q4 2009 and troughed at $6.1 million in Q1 2009.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Amortizatization of Intangibles (Qtr) |
|---|---|---|---|---|---|
| 1 | Lumentum Holdings | 82.48 Bn | 79.74 Bn | 477.30 Mn | 36.00 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 | 843,000.00 |
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2009 | 28.58 Mn |
| Sep 30, 2009 | 8.98 Mn |
| Jun 30, 2009 | 8.04 Mn |
| Mar 31, 2009 | 6.14 Mn |
LG Display Amortizatization of 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=amortizatization-of-intangibles&ticker=LPL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "amortizatization-of-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=amortizatization-of-intangibles&ticker=LPL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();