Compare Medela Potentia Tbk. (MDLA) vs Wilton Makmur Indonesia Tbk. (SQMI) Price & Performance
Price performance (Past 24H)
Key statistics
Key statistics
Medela Potentia Tbk. vs Wilton Makmur Indonesia Tbk. — how do they compare? Medela Potentia Tbk. trades at Rp208 (market cap 2.89T, 269K 24h volume), while Wilton Makmur Indonesia Tbk. trades at Rp59 (market cap 885.64B, 6.25M 24h volume). The key difference: Medela Potentia Tbk. is far larger — about 3.3× Wilton Makmur Indonesia Tbk.'s market cap, and Wilton Makmur Indonesia Tbk. is more actively traded (6.25M versus 269K). Which is the better fit depends on your goals.
| MDLA | SQMI | |
|---|---|---|
Market Cap | 2.89T | 885.64B |
Volume | 269K | 6.25M |
Lot | 2.69K | 62.55K |
Turnover | 55.76M | 366.43M |
Average Price | 207.28 | 58.59 |
Value | 55.76M | 366.43M |
Indicative Equilibrium Price | 208 | 59 |
Indicative Equilibrium Volume | 15 | 774 |
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 Medela Potentia Tbk.
PT Medela Potentia Tbk. (Company) was established based on Deed of Establishment No. 04 dated August 5, 2011, of Public Notary Evy Ferdiana, S.H, Notary of Bekasi Regency, domiciled in Lemah Abang. The Company started its operation activities in 2013.
Read more on MDLA →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 →
