Compare Panca Anugrah Wisesa Tbk. (MGLV) vs Wilton Makmur Indonesia Tbk. (SQMI) Price & Performance
Price performance (Past 24H)
Key statistics
Key statistics
Panca Anugrah Wisesa Tbk. vs Wilton Makmur Indonesia Tbk. — how do they compare? Panca Anugrah Wisesa Tbk. trades at Rp15,250 (market cap 28.57T, 1.93M 24h volume), while Wilton Makmur Indonesia Tbk. trades at Rp99 (market cap 1.55T, 181.17M 24h volume). The key difference: Panca Anugrah Wisesa Tbk. is far larger — about 18.4× Wilton Makmur Indonesia Tbk.'s market cap, and Wilton Makmur Indonesia Tbk. is more actively traded (181.17M versus 1.93M). Which is the better fit depends on your goals.
| MGLV | SQMI | |
|---|---|---|
Market Cap | 28.57T | 1.55T |
Volume | 1.93M | 181.17M |
Lot | 19.33K | 1.81M |
Turnover | 30.05B | 17.89B |
Average Price | 15,545.65 | 98.73 |
Value | 30.05B | 17.89B |
Indicative Equilibrium Price | 15,250 | 99 |
Indicative Equilibrium Volume | 201 | 37.95K |
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 Panca Anugrah Wisesa Tbk.
PT Panca Anugrah Wisesa Tbk (the Company) formerly PT Mitra Angrah Investama was established based on Deed of Establishment of Company No. 02 dated June 06, 2012 of Chilmiyati Rufaida, S.H., Notary in Bogor.
Read more on MGLV →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 →
