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Data from FMP. Forecasts by Sigmanomics Forecast Engine.
IndiaIndia S&P Global Composite PMI climbed to 56.7 Points in September 2026
FMPMonthlyReleased October 2026
India S&P Global Composite PMI climbed to 56.7 Points in September 2026, released October 2026, up 0.8 Points from August's 55.9 Points reading. The reading matched the 56.2 Points consensus.
Latest Release
56.700000
Actual
56.200000
Consensus
55.900000
Previous
Median Absolute Error
±0.67
across last 12 releases
Last Call
Oct 2026
Predicted: 56.33
Actual: 56.7
Error: -0.37
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 |
|---|---|---|---|---|---|
| Nikkei 225 | ▲ Direct | +0.59 | INDEX | Moves with | → View |
| S&P 500 | ▼ Inverse | −0.41 | INDEX | Moves against | → View |
| USD/INR | ▲ Direct | +0.31 | FOREX | Moves with | → View |
Correlation based on 12-month rolling window. Click any symbol to view its Sigmanomics forecast page.
THE RELEASE
S&P Global Composite PMI (India) was reported at 56.70 Points in September 2026. This beat the market consensus of 56.20 Points by 0.50 Points. The reading rose from the previous value of 55.90 Points. Over the past 12 months, the indicator has averaged 56.14 Points, ranging from 54.30 Points to 59.30 Points across 10 releases. This is classified as a medium-impact indicator released on a monthly basis.
WHY IT MATTERS
The trailing three releases averaged 56.37 Points, up from the prior three at 54.40 Points.
THE MODEL'S TAKE
Historically, this indicator is positively correlated with Nikkei 225 (Bullish Nikkei 225). A secondary relationship exists with S&P 500, negatively correlated (Bearish S&P 500). Over the last 12 releases, the Sigmacast model's median absolute error is 0.67 Points.
WHAT TO WATCH NEXT
The next release is scheduled for November 23, 2026. Same-country events in the next 14 days include Inflation Rate YoY (Nov 12).
Auto-generated from current model state · Refreshes on each release · Last update October 2026.
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S&P Global Composite PMI - IN
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About S&P Global Composite PMI — India
DEFINITION
The S&P Global Composite PMI is a widely recognized financial indicator that measures the overall economic health of a country by combining the manufacturing and services sectors. It provides valuable insights into the current state of the economy, as well as future trends, and is used by investors, policymakers, and businesses to make informed decisions. With its comprehensive and timely data, the S&P Global Composite PMI is a crucial tool for understanding the performance of the global economy.
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. Surprises against consensus can drive short-term moves, particularly when the print breaks an established trend. Released monthly.
WHAT CHANGED THIS MONTH
Latest reading (Oct 2026): actual 56.7 Points, consensus 56.2 Points. Prior reading (Sep 2026): 55.9 Points. Before that (Sep 2026): 56.5 Points.
WHAT'S NEXT
Sigmacast's 1-month forecast points to a similar reading versus the latest print, with the 3-month outlook reinforcing that direction. Both horizons are aligned bullish for this indicator, suggesting a consistent trend signal. Trend-driven dynamics are the primary tailwind in the current projection. This indicator correlates most strongly with Nikkei 225 (Bullish Nikkei 225, r=0.59) — a useful reference for index-focused traders.
Σ
EXPECTED ZONE
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Economic Calendar - IN Events
| Friday, October 30, 2026 | Actual | Previous | Consensus | Sigmanomics Rolling-Surprise Forecast | Impact | ||
|---|---|---|---|---|---|---|---|
| 10:30 | IN | Government Budget Value | -7144.1 | -7102.5 | -6800 | -6972.05 | Low |
| Monday, November 2, 2026 | Actual | Previous | Consensus | Sigmanomics Rolling-Surprise Forecast | Impact | ||
| 05:00 | IN | S&P Global Manufacturing PMI | 54.9 | 54.7 | 54.50 | Low | |