I. Key Points
Core Logic: Monitor market transactions and factory pricing strategies.
II. Price List
| Product | Region | Sep 11 | Sep 4 | Change Rate |
|---|---|---|---|---|
| Propylene | East China | 10,000 | 9,525 | 4.99% |
| Acetone | East China | 9,325 | 7,600 | 22.70% |
| Isopropanol | East China | 9,250 | 8,050 | 14.91% |
| Notes: 1. Prices for acetone, propylene, and isopropanol refer to national standard premium grade products. 2. Listed prices are spot cash self-pickup prices in CNY/ton. 3. The two price points represent specific weekly snapshots from the past two working weeks prior to this week, not weekly averages. 4. The change rate reflects week-over-week fluctuation. |
III. Data List
Isopropanol Industry Supply and Demand Data
| Data Type | Sep 11 | Sep 4 | Change Rate | Weekly Outlook |
|---|---|---|---|---|
| Phenol-Acetone Plant Operating Rate | 76.5% | 76% | +0.5% | ↗ |
| Isopropanol Plant Operating Rate | 51.44% | 44.08% | +7.36% | ↗ |
| Notes: 1. Capacity utilization refers to the ratio of actual output to installed capacity, reflecting production levels. 2. Production profit values are industry-wide metrics, reflecting the overall profitability of major producers. |
IV. Market Outlook
Last week, the domestic isopropanol market surged significantly. Supported by rising feedstock costs, key producers continuously raised their quotes. Holders exhibited strong reluctance to sell, actively following the upward trend, which drove up the center of market negotiations. However, downstream users showed clear resistance to high raw material prices, resulting in limited follow-up on actual orders and insufficient transaction volume within the market. It is expected that the isopropanol market will maintain a consolidation phase at high levels today, with continued attention required on demand-side follow-through.
V. Data Calendar
| Data Item | Release Date | Previous Period | Current Period Trend Forecast |
|---|---|---|---|
| Isopropanol Plant Operating Rate | Thursday 17:00 PM | 51.44% | ↗ |
| Notes: 1. ↓↑ indicates significant volatility, highlighting data dimensions with fluctuations exceeding 3%. 2. ↗↘ indicates narrow-range fluctuations, highlighting data dimensions with fluctuations within 3%. 3. → indicates stability. |
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