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See how disruption spreads, and where resilience and opportunity can be found.
The Macro Insights solution connects trade, workforce, sentiment, and market data to reveal how disruption moves through goods, capital, and labor. It is curated to help investors and strategists trace macro shocks, measure exposure, and spot emerging risks and opportunities.
When sweeping tariff reforms reshaped the global economy in 2025, S&P Global’s Quantitative Research & Solutions team mapped how cost pressures spread through supply chains, from suppliers to customers to margins. That connected-data framework underpins Macro Insights, quantifying how disruption moves through the global economy.
What's included?
Quantitative Research
This research finds that companies are now expected to pay at least $1.2 trillion more in 2025 expenses than was anticipated on Jan. 1. Revenue expectations have risen, but earnings expectations have fallen, producing a 64-basis-point contraction in margin, according to 15,000 sell-side analysts contributing to the S&P Capital IQ and Visible Alpha Estimates. If the pattern holds for firms without sell-side coverage, the cost shock would exceed $1.2 trillion in lost profit.
Macro Insights Dashboard
At a glance:
(Headcount Analytics + ProntoNLP)
Layoffs at a company paired with cautious commentary in its earnings call point to margin pressure before it shows in quarterly results.
(Country Risk + Panjiva)
Rising instability in one country combined with trade data on critical commodities highlights which global manufacturers may soon face supply shortages.
(Panjiva + Business Relationships Analytics)
A logistics bottleneck traced through second- and third-tier supplier networks reveals companies and sectors most at risk of disruption.
(Visible Alpha + ProntoNLP)
Bullish analyst forecasts contrasted with management’s hedging on capital expenditure signal a likely disconnect in market expectations.
Date: Thursday, December 04, 2025
Business Relationships Analytics (BRA), developed by S&P Global and Redgraphs, maps over 600,000 entities and 1.6 million customer-supplier connections using regulatory filings and a patented AI-driven algortihm. It reveals hidden interdependencies across global networks, helping investors and analysts assess exposure, run stress tests, and uncover systemic risks.
The Economic & Country Risk datasets from S&P Global provide a comprehensive view of the forces shaping global markets. Covering more than 200 economies, they combine macroeconomic forecasts, industry outlooks, sovereign ESG metrics, banking sector data, and geopolitical intelligence to help investors identify emerging risks, test scenarios, and manage exposure.
S&P Capital IQ Estimates and Visible Alpha Estimates together offer the most complete view of sell-side forecasts and market sentiment. Combining the extensive coverage of more than 20,000 companies with detailed forecast models and assumptions from 200+ brokers, they provide intraday updates, historical context, and transparent insight into shifting expectations that shape investment decisions.
Headcount Analytics from S&P Global delivers a detailed view of global workforce trends across more than 220 million employees and 4.5 million companies. With monthly updates dating back to 2010, it provides insight into hiring, layoffs, tenure, and churn—helping investors and strategists evaluate organizational strength, benchmark performance, and identify signs of growth or stress.
Panjiva provides visibility into global trade flows and supply chain dependencies. Built from over 2 billion shipment records across 21+ countries, it uses machine learning and natural language processing to transform customs data into structured insights on company-to-company relationships, product movements, and potential points of disruption.
ProntoNLP applies a finance-tuned large language model to filings, transcripts, and other financial text to extract and score key performance indicators (KPIs). It identifies sentiment, uncertainty, and forward-looking language to uncover emerging risks, strategic pivots, and inflection points. With coverage of more than 20,000 U.S. companies, historical data back to 2010, and hourly updates, ProntoNLP delivers structured, low-correlation signals that enhance investment analysis.
Business Relationships Analytics (BRA), developed by S&P Global and Redgraphs, maps over 600,000 entities and 1.6 million customer-supplier connections using regulatory filings and a patented AI-driven algortihm. It reveals hidden interdependencies across global networks, helping investors and analysts assess exposure, run stress tests, and uncover systemic risks.
The Economic & Country Risk datasets from S&P Global provide a comprehensive view of the forces shaping global markets. Covering more than 200 economies, they combine macroeconomic forecasts, industry outlooks, sovereign ESG metrics, banking sector data, and geopolitical intelligence to help investors identify emerging risks, test scenarios, and manage exposure.
S&P Capital IQ Estimates and Visible Alpha Estimates together offer the most complete view of sell-side forecasts and market sentiment. Combining the extensive coverage of more than 20,000 companies with detailed forecast models and assumptions from 200+ brokers, they provide intraday updates, historical context, and transparent insight into shifting expectations that shape investment decisions.
Headcount Analytics from S&P Global delivers a detailed view of global workforce trends across more than 220 million employees and 4.5 million companies. With monthly updates dating back to 2010, it provides insight into hiring, layoffs, tenure, and churn—helping investors and strategists evaluate organizational strength, benchmark performance, and identify signs of growth or stress.
Panjiva provides visibility into global trade flows and supply chain dependencies. Built from over 2 billion shipment records across 21+ countries, it uses machine learning and natural language processing to transform customs data into structured insights on company-to-company relationships, product movements, and potential points of disruption.
ProntoNLP applies a finance-tuned large language model to filings, transcripts, and other financial text to extract and score key performance indicators (KPIs). It identifies sentiment, uncertainty, and forward-looking language to uncover emerging risks, strategic pivots, and inflection points. With coverage of more than 20,000 U.S. companies, historical data back to 2010, and hourly updates, ProntoNLP delivers structured, low-correlation signals that enhance investment analysis.
What’s included?