Organización Terpel S.A. (TERPEL.CL)
Energy · Oil & Gas Refining & Marketing · Latin America
Price in COP, last 5 years
- Last price
- COP 19,000 (Oct 22, 2026)
- 1-year return
- +35.2%
- 3-year annual return
- +57.8%
- 5-year annual return
- +31.1%
- 1-year volatility
- 31.2%
- Max drawdown (5Y)
- -35.2%
- Market cap (approx.)
- US$1.1B
- History available
- since Aug 19, 2014
About Organización Terpel S.A.
Organización Terpel S.A. (TERPEL.CL) is a stock from Colombia that trades on BVC (Colombia) in COP. It operates in the energy sector, Oil & Gas Refining & Marketing industry. It's part of the MSCI COLCAP.
Over the last year its price rose 35.2% in COP, with annual volatility of 31%: a moderately volatile asset. Its worst drop over the last five years was 35.2% from a peak.
If your currency isn't the COP, your real return will also depend on the exchange rate. In the optimizer you can choose your currency (USD, EUR, MXN, BRL, CLP, COP, PEN or ARS) and the calculation includes that currency risk.
How does it fit into a portfolio? What matters is not just its risk on its own, but how much it moves together with your other assets. Add it to your list and the optimizer will show you what weight the model would give it and why.
Other energy assets in Latin America
| Asset | 1 year | 1Y return | Volatility | Market cap | |
|---|---|---|---|---|---|
Petróleo Brasileiro S.A. - PetrobrasPETR3.SA · Stock · Energy | +118.2% | 31% | US$163.2B | ||
Petrobras ON (ADR)PBR · ADR · Energy | +123.5% | 35% | US$162.0B | ||
Petróleo Brasileiro S.A. - PetrobrasPETR4.SA · Stock · Energy | +110.2% | 29% | US$155.5B | ||
Petrobras PN (ADR)PBR-A · ADR · Energy | +113.5% | 34% | US$154.6B | ||
Ecopetrol S.A.ECOPETROL.CL · Stock · Energy | +64.7% | 40% | US$34.8B | ||
Ecopetrol (ADR)EC · ADR · Energy | +102.0% | 39% | US$34.7B | ||
YPF Sociedad AnónimaYPFD.BA · Stock · Energy | +102.9% | 40% | US$20.8B | ||
YPF (ADR)YPF · ADR · Energy | +97.9% | 45% | US$19.2B |
Disclaimer: Educational and simulation tool. It is not investment advice or a personalized recommendation. Past performance does not guarantee future results. Data for educational purposes; it may be delayed or contain errors.