China Petroleum & Chemical Valuation
Is 386 undervalued compared to its fair value, analyst forecasts and its price relative to the market?
Valuation Score
0/6Valuation Score 0/6
Share Price vs Fair Value
What is the Fair Price of 386 when looking at its future cash flows? For this estimate we use a Discounted Cash Flow model.
Key Valuation Metric
Which metric is best to use when looking at relative valuation for 386?
Key metric:
| What is 386's PE Ratio? | |
|---|---|
| PE Ratio | 9.8x |
| Earnings | CN¥49.36b |
| Market Cap | CN¥686.94b |
| Key Statistics | |
|---|---|
| Enterprise Value/Revenue | 0.4x |
| Enterprise Value/EBITDA | 6.8x |
| PEG Ratio | 1x |
Price to Earnings Ratio vs Peers
How does 386's PE Ratio compare to its peers?
| Company | Forward PE | Estimated Growth | Market Cap |
|---|---|---|---|
| Peer Average | 7.2x | ||
857 PetroChina | 6.3x | -3.3% | HK$1.6t |
1088 China Shenhua Energy | 10x | -2.3% | HK$814.8b |
883 CNOOC | 5.7x | -2.0% | HK$909.7b |
1898 China Coal Energy | 6.6x | 2.5% | HK$149.4b |
386 China Petroleum & Chemical | 9.8x | 10.1% | HK$738.2b |
Price to Earnings Ratio vs Industry
How does 386's PE Ratio compare vs other companies in the HK Oil and Gas Industry?
Price to Earnings Ratio vs Fair Ratio
What is 386's PE Ratio compared to its Fair PE Ratio? This is the expected PE Ratio taking into account the company's forecast earnings growth, profit margins and other risk factors.
| Fair Ratio | |
|---|---|
| Current PE Ratio | 9.8x |
| Fair PE Ratio | 10.3x |
Analyst Price Targets
What is the analyst 12-month forecast and do we have any statistical confidence in the consensus price target?
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Company Analysis and Financial Data Status
| Data | Last Updated (UTC time) |
|---|---|
| Company Analysis | 2025/02/02 06:42 |
| End of Day Share Price | 2025/01/28 00:00 |
| Earnings | 2024/09/30 |
| Annual Earnings | 2023/12/31 |
Data Sources
The data used in our company analysis is from S&P Global Market Intelligence LLC. The following data is used in our analysis model to generate this report. Data is normalised which can introduce a delay from the source being available.
| Package | Data | Timeframe | Example US Source * |
|---|---|---|---|
| Company Financials | 10 years |
| |
| Analyst Consensus Estimates | +3 years |
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| Market Prices | 30 years |
| |
| Ownership | 10 years |
| |
| Management | 10 years |
| |
| Key Developments | 10 years |
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* example for US securities, for non-US equivalent regulatory forms and sources are used.
Unless specified all financial data is based on a yearly period but updated quarterly. This is known as Trailing Twelve Month (TTM) or Last Twelve Month (LTM) Data. Learn more here.
Analysis Model and Snowflake
Details of the analysis model used to generate this report is available on our Github page, we also have guides on how to use our reports and tutorials on Youtube.
Learn about the world class team who designed and built the Simply Wall St analysis model.
Industry and Sector Metrics
Our industry and section metrics are calculated every 6 hours by Simply Wall St, details of our process are available on .
Analyst Sources
China Petroleum & Chemical Corporation is covered by 58 analysts. 14 of those analysts submitted the estimates of revenue or earnings used as inputs to our report. Analysts submissions are updated throughout the day.
| Analyst | Institution |
|---|---|
| Scott Lee Darling | Barclays |
| Bradley Way | BNP Paribas Securities (Asia) |
| Cho Ming Lau | BOCI Research Ltd. |