Iran is discreetly earning an estimated $140 million a day by selling oil disrupted by the conflict, a significant windfall for the nation otherwise hardest hit by the war. Meanwhile, US energy producers are not uniformly celebrating higher prices, as market forecasts assume the conflict ends soon. The S&P 500 exploration and production index has risen only 6% since February 27th, lagging far behind the 40% surge in oil prices to $100 per barrel. This discrepancy reflects investor belief that prices will normalize once the war concludes.

Doug Leggate of Wolfe Research explains this dynamic: oil company valuations hinge on free cash flow duration relative to reserves and debt. For high-break-even shale or Canadian oil sands producers, a $70-to-$80 price jump doubles cash flow, but this benefit is fleeting if reserves are limited. Companies with decades of reserves see less impact unless they carry substantial debt, which can be paid down with windfall profits. Leggate concludes that low-quality companies—those with high costs, low reserves, or heavy debt—benefit most from the war's uncertainty.

Oil price volatility is extreme, with futures implying an annualized 100% volatility and a significant skew towards upside risk. This uncertainty keeps producers cautious; Texas shale fields show no drilling rush. Investors should similarly be wary of chasing high-cost producers like Canadian Natural Resources (+12% since the war) or Diamondback (+5%, +21% YTD). Buying them after the conflict ends, when prices drop and futures curves become more favorable, offers better entry points. Leggate and others argue the war sets a higher oil price floor due to depleted inventories and increased costs.

The FT also highlights a methodological quirk in inflation data: a switch in legal services price sourcing from CPI to PPI reduced core PCE inflation by nearly 0.1% (1.2% annualized). While economists see merit in the switch, the lack of transparency and potential inclusion of commercial spending raise concerns about data reliability under strained statistical agencies.