Decision artifact preview: this page maps the company to its main commodity inputs, revenue exposures, margin transmission paths, and next scenario memo route. Research analytics only — not investment advice, not trading signals, not brokerage.
Methodology: exposure direction is estimated from business model, disclosed inputs, sector sensitivity, and linked commodity hub context. Use the Shock Memo flow for scenario-specific company sensitivity.
Company Overview
One of America's largest electric utilities serving approximately 8.2 million customers across six states, with a diversified generation mix of natural gas, nuclear, coal, solar, and wind.
Commodity Exposures
Price Sensitivity
Duke Energy's generation fleet creates diversified fuel commodity exposure: natural gas (largest fuel source), coal (declining but still significant), and uranium (nuclear plants at Robinson and McGuire stations). Fuel costs are passed through to regulated customers with some lag. Duke's ongoing coal-to-gas and coal-to-renewables transition is shifting commodity exposure from coal toward natural gas and construction metals.
Related ETFs
Company-specific exposure memo
Duke Energy commodity exposure map: what shocks affect DUKE is mapped as a company-level commodity exposure, not a generic sector blurb. The live route starts with Natural Gas, Coal, Uranium, then checks whether the move reaches DUKE through realized price, input cost, spread, freight, working-capital, or demand channels.
What would change the view
The view should be updated when the linked benchmark, spread, hedge disclosure, cost pass-through, or demand signal stops matching the company mechanism described above. A useful memo states that invalidation point before the conclusion.
Exposure-map reading discipline
A company exposure page becomes indexable only when it helps the reader do work that a generic profile cannot do. For Duke Energy Corporation (DUKE), the workflow is to identify the commodity driver, classify the business model, and then decide which evidence would prove that the commodity shock is actually reaching the income statement. CommodityNode keeps the language bounded because a price move can be relevant without being actionable.
The practical memo should separate first-order exposure from second-order exposure through freight, power, financing, substitute demand, customer budgets, or supplier reliability. Check whether pricing power, owned supply, spot procurement, hedges, spreads, or pass-through rules change the company answer.
For quality control, never treat stale or proxy data as a confirmed signal. If a linked commodity hub shows weak-feed, analysis-only, stale, or suppressed status, downgrade confidence and ask for confirmation from a better source.