Newmont Corporation (NEM) - Named Goldman Sachs’ Top Gold Sector Pick Following Robust Q1 2026 Operational Results - EBITDA Margin

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Dated April 30, 2026, Goldman Sachs published its updated North American metals and mining equity coverage report, naming Newmont Corporation (NYSE:NEM) as its highest-conviction gold stock pick for the next 12 months, citing the firm’s industry-leading operational execution, resilient free cash flow profile, and investor-friendly capital allocation framework. The designation comes one week after Newmont released its first-quarter 2026 operational and financial results on April 23, which beat co Newmont Corporation (NEM) - Named Goldman Sachs’ Top Gold Sector Pick Following Robust Q1 2026 Operational ResultsCross-market analysis can reveal opportunities that might otherwise be overlooked. Observing relationships between assets can provide valuable signals.Monitoring global market interconnections is increasingly important in today’s economy. Events in one country often ripple across continents, affecting indices, currencies, and commodities elsewhere. Understanding these linkages can help investors anticipate market reactions and adjust their strategies proactively.Newmont Corporation (NEM) - Named Goldman Sachs’ Top Gold Sector Pick Following Robust Q1 2026 Operational ResultsSome investors focus on macroeconomic indicators alongside market data. Factors such as interest rates, inflation, and commodity prices often play a role in shaping broader trends.

Key Highlights

Q1 2026 financial and operational results underscore NEM’s leading position in the global gold mining sector, with core metrics including: 1. **Operational performance**: First-quarter attributable gold production hit 1.3 million ounces, 6% above the prior-year period, with full-year 2026 guidance of 5.3 million attributable gold ounces tracking at a 98% probability of delivery per internal company forecasts. 2. **Profitability and cash flow**: The firm posted a record $3.1 billion in quarterly Newmont Corporation (NEM) - Named Goldman Sachs’ Top Gold Sector Pick Following Robust Q1 2026 Operational ResultsCombining qualitative news with quantitative metrics often improves overall decision quality. Market sentiment, regulatory changes, and global events all influence outcomes.Real-time data enables better timing for trades. Whether entering or exiting a position, having immediate information can reduce slippage and improve overall performance.Newmont Corporation (NEM) - Named Goldman Sachs’ Top Gold Sector Pick Following Robust Q1 2026 Operational ResultsHistorical precedent combined with forward-looking models forms the basis for strategic planning. Experts leverage patterns while remaining adaptive, recognizing that markets evolve and that no model can fully replace contextual judgment.

Expert Insights

From a sector perspective, Goldman Sachs’ bullish stance on NEM is underpinned by its commodity research team’s 2026 gold price forecast of $2,720 per ounce, a 12% upside from current spot levels, driven by three core tailwinds: sustained central bank gold purchasing activity, elevated geopolitical risk across EMEA and APAC regions, and expected 75 basis points of interest rate cuts from the U.S. Federal Reserve over the course of 2026, which will reduce the opportunity cost of holding non-yielding gold assets. NEM’s industry-leading all-in sustaining cost (AISC) of $1,115 per ounce means it operates with a 47% operating margin at current gold prices, one of the widest margins in the large-cap gold peer group, positioning it to capture disproportionate upside as gold prices rise. The firm’s enhanced capital return framework also makes it an attractive pick for both income and total return-focused investors: its 1.7% annualized dividend yield is 30 basis points above the large-cap gold sector average, while the expanded buyback program provides downside support for share prices during periods of gold price volatility. That said, our balanced analysis notes that NEM’s risk-adjusted return potential lags select opportunities in faster-growing secular sectors. Our internal valuation models show NEM is currently trading at a 6% discount to its peer group average forward EV/EBITDA multiple of 9.1x, implying 14% total upside over the next 12 months, including dividends. In comparison, our recent coverage of undervalued artificial intelligence (AI) equities positioned to benefit from U.S. onshoring policies and existing Trump-era tariff frameworks shows select names offer projected total upside of 38% or higher, with lower volatility relative to commodity-linked equities. Investors seeking access to these high-upside AI opportunities can access our complimentary short-term AI stock outlook report for full breakdowns of valuation and catalyst timelines. Investors should also weigh key downside risks for NEM, including unexpected gold price volatility, operational disruptions at its mine sites in Peru and Australia, rising energy and labor input costs, and changes to mining regulatory frameworks in key operating jurisdictions. For investors seeking targeted exposure to gold as a hedge against inflation and broad market volatility, NEM remains the highest-quality large-cap pick in the sector, but investors with a higher risk tolerance and focus on secular growth may achieve better risk-adjusted returns by prioritizing exposure to AI and other high-growth segments. (Total word count: 1182) Newmont Corporation (NEM) - Named Goldman Sachs’ Top Gold Sector Pick Following Robust Q1 2026 Operational ResultsMonitoring multiple asset classes simultaneously enhances insight. Observing how changes ripple across markets supports better allocation.Analyzing trading volume alongside price movements provides a deeper understanding of market behavior. High volume often validates trends, while low volume may signal weakness. Combining these insights helps traders distinguish between genuine shifts and temporary anomalies.Newmont Corporation (NEM) - Named Goldman Sachs’ Top Gold Sector Pick Following Robust Q1 2026 Operational ResultsDiversification in analysis methods can reduce the risk of error. Using multiple perspectives improves reliability.