Loading page content
Data from FMP. Forecasts by Sigmanomics Forecast Engine.
ThailandThailand S&P Global Manufacturing PMI fell to 53.8 Points in August 2026
FMPMonthlyReleased September 2026
Thailand S&P Global Manufacturing PMI fell to 53.8 Points in August 2026, released September 2026, down 0.4 Points from July's 54.2 Points reading. The reading matched the 54.5 Points consensus.
Latest Release
53.800000
Actual
54.500000
Consensus
54.200000
Previous
Median Absolute Error
±1.21
across last 12 releases
Last Call
Sep 2026
Predicted: 55.35
Actual: 53.8
Error: +1.55
Sigmacast Σ-direction model: consensus + ½ × mean(surprise, trailing 90d).
CORRELATED SYMBOLS— markets that historically move with this indicator
| Symbol | Direction | Correlation | Asset Class | Co-movement | Action |
|---|---|---|---|---|---|
| XAU/USD | ▲ Direct | +0.64 | COMMODITIES | Moves with | → View |
| USD/THB | ▼ Inverse | −0.40 | FOREX | Moves against | → View |
| Hang Seng | ▲ Direct | +0.33 | INDEX | Moves with | → View |
Correlation based on 12-month rolling window. Click any symbol to view its Sigmanomics forecast page.
THE RELEASE
S&P Global Manufacturing PMI (Thailand) was reported at 53.80 Points in August 2026. This missed the market consensus of 54.50 Points by 0.70 Points. The reading fell from the previous value of 54.20 Points. Over the past 12 months, the indicator has averaged 54.63 Points, ranging from 52.60 Points to 57.40 Points across 10 releases.
WHY IT MATTERS
The trailing three releases averaged 53.53 Points, up from the prior three at 53.43 Points. Volatility over the past year (σ 1.63 Points) is higher than the prior year (σ 1.03 Points). In September readings over the past 3 years, S&P Global Manufacturing PMI has averaged 52.83 Points.
THE MODEL'S TAKE
Historically, this indicator is positively correlated with XAU/USD (Bullish XAU). A secondary relationship exists with USD/THB, negatively correlated (Bearish USD). Over the last 12 releases, the Sigmacast model's median absolute error is 1.21 Points.
WHAT TO WATCH NEXT
The next release is scheduled for October 1, 2026.
Auto-generated from current model state · Refreshes on each release · Last update September 2026.
SHARE
S&P Global Manufacturing PMI - TH
Loading chart data...
About S&P Global Manufacturing PMI — Thailand
DEFINITION
The S&P Global Manufacturing PMI is a widely recognized financial indicator that measures the performance of the manufacturing sector in major economies around the world. It provides valuable insights into the health and growth of the global manufacturing industry, serving as a key barometer for investors, businesses, and policymakers. The index is based on a monthly survey of purchasing managers, and its timely and accurate data is highly regarded for its ability to forecast economic trends and inform decision-making.
WHY THIS INDICATOR MATTERS
Sentiment surveys are forward-looking inputs that often lead hard data on output and hiring. Sharp swings can drive cross-asset repricing. The release is more useful as part of a longer-run signal than as a single-print catalyst. Released monthly.
WHAT CHANGED THIS MONTH
Latest reading (Aug 2026): actual 53.8 Points, consensus 54.5 Points. Prior reading (Jul 2026): 54.2 Points. Before that (May 2026): 52.6 Points.
WHAT'S NEXT
Sigmacast's 1-month forecast points to a similar reading versus the latest print, with the 3-month outlook diverging from that direction. The 1-month and 3-month horizons disagree, suggesting a mixed signal. Trend-driven dynamics are the primary tailwind in the current projection. This indicator correlates most strongly with XAU/USD (Bullish XAU, r=0.64) — a useful reference for commodities-focused traders.
Σ
EXPECTED ZONE
SIGMANOMICS MARKET FORECAST ENGINE
Multi-horizon symbol forecasts, Rolling-Surprise economic predictions, and programmatic API access.
Expected Zones · Trade Bias · Confidence Intervals · API Access · 1,456+ instruments
FOREXCRYPTOSTOCKSCOMMODITIESINDICESAPI
BLSBEAFMPWORLD BANKFRED
1,456+ instruments247 indicators530+ correlationsREST + GQL API
4,151 economic indicators127 countries covered6 data sources
FREDBLSEIAECBBOJFMP