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Federal Reserve taps former Walmart CEO Doug McMillon to build real-time economic data engine

Federal Reserve taps former Walmart CEO Doug McMillon to build real-time economic data engine

Fed Chair Kevin Warsh's new task forces aim to overhaul how the central bank measures spending, inflation, and growth, with implications that ripple well beyond traditional markets.

Walmart Inc. (WMT) price

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$962.0B (shares as of 2026-08-26)
P/E (trailing)
43.9 (EPS to 2026-07-31)
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$713.2B USD (FY ended 2026-01-31) 10-K
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+4.7% (FY ended 2026-01-31 vs FY ended 2025-01-31) 10-K
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21,893,000,000 USD (FY ended 2026-01-31, attributable to the company) 10-K
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4.2% (FY ended 2026-01-31)
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Unavailable: no dated forecast source

Gloria daily close for session Oct 29, 2026. Market cap and trailing P/E use this close with the SEC share total and trailing diluted earnings, each dated next to its figure. Annual revenue, revenue growth, net income and margin show their own fiscal period and link the 10-K. Current context may postdate this article.

Walmart Inc. and its peers

Company PriceMarket capP/E (trailing)Forward P/EAnnual revenue (USD)Annual revenue growthAnnual net income (USD)Operating margin
Walmart Inc. WMT · Price dated Oct 29, 2026 · tokenized WMTx $121$962.0B43.9Unavailable$713.2BFY ended 2026-01-31 · 10-K+4.7%FY ended 2026-01-31 vs 2025-01-31 · 10-K21,893,000,000FY ended 2026-01-31, attributable to the company · 10-K4.2%FY ended 2026-01-31
Costco Wholesale Corporation COST · Price dated Oct 29, 2026 $996$441.4B48.0Unavailable$303.2BFY ended 2026-08-30 · 10-K+10.1%FY ended 2026-08-30 vs 2025-08-31 · 10-K9,226,000,000FY ended 2026-08-30, attributable to the company · 10-K3.9%FY ended 2026-08-30
Amazon.com Inc. AMZN · Price dated Oct 29, 2026 · tokenized AMZNx $244$2.6T19.6Unavailable$716.9BFY ended 2025-12-31 · 10-K+12.4%FY ended 2025-12-31 vs 2024-12-31 · 10-K77,670,000,000FY ended 2025-12-31, attributable to the company · 10-K11.2%FY ended 2025-12-31
The Home Depot Inc. HD · Price dated Oct 29, 2026 · tokenized HDx $329$328.2B23.0Unavailable$164.7BFY ended 2026-02-01 · 10-K+3.2%FY ended 2026-02-01 vs 2025-02-02 · 10-K14,156,000,000FY ended 2026-02-01, attributable to the company · 10-K12.7%FY ended 2026-02-01

Missing figures stay unavailable. Forward P/E requires a dated source. Annual revenue, revenue growth, net income and margin come from each company's own 10-K, in US dollars, and each row shows that fiscal year. Revenue growth compares the fiscal year with the prior year stated in the same 10-K. Net income is the full year amount attributable to the company, or available to common stockholders where the filing states only that, or consolidated net income. Each row names its basis. Trailing P/E reads "Not meaningful" when the dated trailing diluted EPS is a loss or zero. An operating margin appears only when the filing states both the operating income and the revenue for the same year.

Sources: SEC filings, Gloria daily closes and CoinGecko. Oldest record refresh: Oct 29, 2026, 2:41 PM EDT. Refresh is not a price or filing date. Each row shows its price date and its annual fiscal period. Peers use industry code and company size, or editorial selection. Market cap multiplies that row price by the company share total the latest SEC filing states for every share class together. Trailing P/E divides it by trailing diluted earnings from SEC filings. Rolled earnings per share are approximate because share counts can change between periods. Both appear only when the SEC data carries its date, so they are estimates at one price date, not synchronized filing valuations. Not investment advice.

The Federal Reserve just recruited one of the most data-obsessed retail executives in American history to help it figure out what’s actually happening in the economy. On July 9, Fed Chairman Kevin Warsh announced the creation of five task forces designed to rethink how the central bank operates, and the one focused on economic data will be co-led by Doug McMillon, the former CEO of Walmart.

McMillon will be joined by Harvard economist Raj Chetty and University of Chicago economist Kevin Murphy. Their job: make the Fed’s economic indicators faster, more accurate, and more relevant.

Why a retail CEO belongs at the Fed’s data table

Here’s the thing about Walmart. It processes hundreds of millions of transactions across thousands of stores, giving its leadership a near-real-time pulse on consumer spending, price sensitivity, and regional economic health. McMillon spent over a decade running that machine. He knows what Americans are buying, what they’re cutting back on, and how quickly behavior shifts when prices move.

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Chetty brings his own arsenal. He’s become famous for using anonymized credit card data, payroll records, and other private-sector datasets to track economic activity in something close to real time. His work during the pandemic demonstrated that high-frequency data could reveal economic shifts weeks before official government statistics caught up. Murphy, meanwhile, is a labor economist known for his empirical work on wages and human capital.

Together, the three co-leads represent a deliberate fusion of boardroom pattern recognition and academic methodology. The task force will operate independently and report its findings directly to the Federal Open Market Committee, the body that sets interest rates.

The broader overhaul

The data task force is one of five groups Warsh established as part of a comprehensive review of monetary policy operations. Other task forces will examine the Fed’s communications strategy and its inflation framework, among other areas. All five groups draw from a mix of business leaders and academics.

Bringing in a former Fortune 1 CEO to co-lead a data initiative would have been unusual under prior leadership. It suggests Warsh wants the Fed to think less like a government agency and more like an organization that competes on information speed.

What this means for crypto and digital asset markets

There’s no mention of cryptocurrencies or digital assets in the task force mandate. The task force’s embrace of private-sector, high-frequency data echoes the kind of on-chain analytics that crypto-native firms have been building for years. Blockchain networks already produce real-time, transparent economic data: transaction volumes, wallet activity, stablecoin flows, DeFi lending rates. If the Fed develops an appetite for contemporaneous data from traditional commerce, the intellectual distance between that and on-chain economic metrics shrinks.

Disclosure: This article was edited by Editorial Team. For more information on how we create and review content, see our Editorial Policy.

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