[PMMA Daily Review] PMMA Pellet Market Remains Quiet
1 Today's Summary
①、 Today PMMA particles The market is operating steadily. 。
②、 Today's domestic PMMA particle utilization rate is 50%.
2 Spot Overview
Table 1 Domestic PMMA Particle Price Summary (Unit: Yuan/Ton)
|
market |
Product |
6 the 4th of the month |
June 5 |
Change Value |
Price Change Percentage |
|
East China |
PMMA particles |
12800-16300 |
12800-16300 |
0/ 0 |
0.00%/ 0.00 % |
|
Upstream raw materials |
|||||
|
East China |
MMA |
12400 |
12400 |
0 |
0.00% |
|
East China |
Methyl acrylate |
8800 |
8700 |
-100 |
-1.14% |
|
Data Source:Longzhong Information |
|||||
Based on the East China market, PMMA pellets closed today at RMB 12,800–16,300/ton. As the weekend approaches, overall market trading remains subdued. Traders are quoting prices flexibly in line with market conditions, and most are reluctant to sell, with few offering goods at low prices. Downstream buyers are only maintaining rigid demand purchases, showing weak enthusiasm for stockpiling, and actual transactions in the market are relatively scarce.
|
Figure 1: Domestic PMMA Price Trend in 2026 (CNY/Ton) |
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|
|
|
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Data source: Longzhong Information |
|
3 Production Dynamics
PMMA particle capacity utilization was 50%, down 3% month-on-month.
|
Figure 2 Trend Chart of Domestic PMMA Particle Capacity Utilization Rate |
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|
|
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Data source: Longzhong Information |
|
4. Price Forecast
In the short term, the PMMA particle market is expected to remain weak. Although holders are reluctant to sell at lower prices, downstream rigid demand continues to be sluggish and restocking willingness is insufficient, making prices prone to slight declines and range-bound downward movement.
5 Data Calendar
Table 2 Domestic PMMA Particle Data Overview (Unit: 10,000 tons)
|
data |
Release Date |
Last period data |
Current Trend Forecast |
|
Capacity utilization rate of the PMMA particle industry |
Thursday 5:00 AM |
53% |
↘ |
|
Profit |
Thursday 5:00 PM |
1839 |
↘ |
|
Data source: Longzhong Information Note: 1. Treat ↓↑ as significant volatility, highlighting data dimensions with price changes exceeding 3%. 2. Treat ↗↘ as narrow fluctuations, highlighting data with increases or decreases within 0–3%. |
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