Compare Lotte Chemical Titan Tbk. (FPNI) vs Wilton Makmur Indonesia Tbk. (SQMI) Price & Performance
Price performance (Past 24H)
Key statistics
Key statistics
Lotte Chemical Titan Tbk. vs Wilton Makmur Indonesia Tbk. — how do they compare? Lotte Chemical Titan Tbk. trades at Rp328 (market cap 1.83T), while Wilton Makmur Indonesia Tbk. trades at Rp57 (market cap 885.64B). The key difference: Lotte Chemical Titan Tbk. is far larger — about 2.1× Wilton Makmur Indonesia Tbk.'s market cap. Which is the better fit depends on your goals.
| FPNI | SQMI | |
|---|---|---|
Market Cap | 1.83T | 885.64B |
Returns comparison
Trailing returns across standard periods
Returns comparison
Trailing returns across standard periods
Top news
Latest headlines on both assets
Top news
Latest headlines on both assets
About Lotte Chemical Titan Tbk.
PT. Lotte Chemical Titan Tbk. (the Company) was established in the Republic of Indonesia under the name of P.T. Indofatra Plastik Industri based on Notarial Deed No. 19 of Rukmasanti Hardjasatya, S.H., dated December 9, 1987. Subsequently, its name was changed to P.T. Fatrapolindo Nusa Industri based on Notarial Deed No. 53 dated July 18, 1988 of the same notary. The Company conduct in Bi-axially Oriented Polypropylene/ BOPP Film industry. Start the commercial operation on 1990 by one line production. Now, the corporate have load capacity 20.000 ton/year.
Read more on FPNI →About Wilton Makmur Indonesia Tbk.
PT Renuka Coalindo Tbk (The Company) was initially established under the name PT Sanex Qianjiang Motor International. Sanex Qianjiang Motor International Tbk (the company) was established on 21 March 2000 based on Notaries Deed dated No. 180 and the deed of establishment was approved by the the Ministry of Justice dated July 24, 2000. The Company started the business activities with import Completely Built Up motorcycle from Chinese. The company considered public response and the potential market for motorcycle product in Indonesia then improved activity to establish motorcycle fabrication and distribution.
Read more on SQMI →
