Wall Street strategists have spent the better part of 2026 doing something they rarely admit out loud: guessing. With tariff policy shifting as frequently as market sentiment, the normally straightforward exercise of valuing the S&P 500 has become, by many accounts, close to impossible.
“The range of outcomes has never been wider in my career,” one senior equity strategist at a major U.S. bank told investors in a recent note. “We can model company fundamentals. We cannot model policy reversals on a Wednesday morning.”
That frustration captures a deeper structural problem in markets right now. The S&P 500’s fair value depends on two inputs: earnings and the multiple investors are willing to pay for those earnings. Tariff volatility is breaking both simultaneously.
The Earnings Problem Is Real — And Getting Worse
Corporate earnings are the foundation of any stock valuation. Analysts build their estimates by modeling revenue, input costs, and profit margins. But that model assumes a reasonably stable operating environment. In 2026, that assumption has repeatedly failed.
Since January, the effective U.S. tariff rate on imports has been revised upward, paused, partially reversed, and threatened again — sometimes within the same week. Companies relying on global supply chains — from semiconductor manufacturers to consumer goods producers — have struggled to pin down their own cost structures, let alone guide investors on future earnings.
The result: a wave of guidance withdrawals. According to data tracked by earnings research firms, the share of S&P 500 companies declining to issue forward guidance has risen sharply in 2026, approaching levels last seen during the pandemic-era uncertainty of 2020. When companies stop guiding, analysts are left flying blind.
FactSet data through the end of Q1 2026 showed the largest downward revision to consensus earnings estimates in nearly four years. The full-year earnings-per-share forecast for the S&P 500 has been cut multiple times, and several strategists warn that the revision cycle isn’t finished — because the tariff situation isn’t finished.
The Multiple Compression You Can’t Model Away
Even if analysts could nail down earnings, they’d still face a second, thornier problem: what price-to-earnings multiple does the market deserve right now?
Under normal conditions, the S&P 500’s forward P/E multiple is anchored by a handful of predictable factors: the interest rate environment, earnings growth expectations, and investor risk appetite. In early 2026, the 10-year Treasury yield sits in a range that, historically, would support a forward multiple somewhere between 18x and 21x earnings.
But “uncertainty” functions as a discount on top of those fundamentals. When investors cannot confidently price future cash flows — because the tariff rate affecting a company’s margins might change after the next executive order — they demand a lower multiple. This discount is sometimes called a “policy risk premium,” and it is very much in effect right now.
Wells Fargo Securities macro strategist Mike Schumacher articulated the bind clearly: “The market backdrop became too sanguine, too quickly.” After the brief rally on ceasefire news, bond markets didn’t celebrate the way equities did — a divergence that Schumacher and others read as a signal that the fundamental valuation problems haven’t gone away just because geopolitical headlines improved for a day.
Wall Street’s Wide Dispersion: A Problem in Itself
Nowhere is the tariff fog more visible than in the extraordinary range of year-end S&P 500 price targets published by major banks. At the start of 2026, targets were already spread across a wider range than typical. By April, the dispersion has widened further, with some strategists holding to bull cases built on tariff resolution while bears factor in persistent trade friction.
That dispersion matters for the market itself. When there is broad consensus on fair value, prices tend to be more stable — the market “knows” where it should be. When the range of credible analyst targets spans hundreds of index points, it signals genuine uncertainty about fundamentals, not just noise. Volatility becomes the rational response to the information environment.
The VIX — Wall Street’s so-called “fear gauge” — has reflected this, remaining elevated through much of Q1 2026 and spiking repeatedly on tariff headlines. PNC’s chief investment strategist Yung-Yu Ma warned investors in early April that “the worst-case scenario is still not priced in” — a notable comment given how much volatility markets have already absorbed.
Historical Precedent: The 2018–2019 Trade War Playbook
Markets have navigated tariff uncertainty before. The 2018–2019 U.S.-China trade war offers the most relevant template, and its lessons are instructive — though not entirely comforting.
During that period, the S&P 500 experienced four distinct corrections of 10% or more, each tied to a flare-up in trade tensions, and four rebounds tied to apparent progress or de-escalation. Investors who tried to trade the policy news cycle were repeatedly whipsawed. Those who held through the volatility were eventually rewarded — but only because a partial trade deal was struck and the earnings disruption proved temporary.
The key difference in 2026 is scope. The 2018–2019 dispute was primarily bilateral, between the U.S. and China. The current tariff environment involves a broader range of trading partners and is layered on top of the already-significant disruptions from the Iran conflict — including elevated oil prices and Strait of Hormuz supply chain concerns. The complexity of simultaneous variables makes the old playbook only partially applicable.
Which Sectors Face the Most Valuation Pressure?
Tariff exposure is not evenly distributed across the S&P 500. Some sectors face far more direct pressure than others, and their valuations reflect it.
Technology
Hardware companies and semiconductor manufacturers with Asia-based supply chains face direct tariff exposure on inputs and finished goods. Software companies, while less directly impacted, are also seeing multiple compression as the broader tech trade narrative turns cautious. Asian tech stocks did surge on ceasefire news in early April, underscoring how tightly this sector is tied to trade sentiment.
Consumer Discretionary
Retailers with heavy import exposure — particularly from Southeast Asia — are under margin pressure that tariffs could amplify further. Companies in this sector have been among the most likely to withdraw guidance in recent quarters, making analyst modeling especially difficult.
Industrials and Materials
Steel and aluminum tariffs directly affect input costs for manufacturers. Retaliatory measures from trading partners can close the export markets that U.S. industrial companies depend on for revenue growth, creating a double bind of higher costs and lower sales opportunities abroad.
What Investors Are Actually Doing
Faced with this valuation fog, institutional investors appear to be repositioning toward clarity. Morgan Stanley has been advising high-net-worth clients to prioritize downside protection, while shifting toward defensive sectors with more predictable cash flows. The “back-to-basics” trend in ETF investing — noted by multiple strategists in recent weeks — reflects a broader flight toward simpler, lower-cost, broadly diversified holdings when the fundamental outlook is genuinely uncertain.
Commercial real estate has also emerged as a surprising safe-harbor conversation. Government-leased properties and other assets with long-term contracted revenue streams are attracting attention precisely because they offer the kind of earnings visibility that is increasingly rare in an environment where corporate guidance has become unreliable.
The common thread: when policy-driven uncertainty makes forward earnings estimates unreliable, investors gravitate toward assets with more predictable cash flows — whether that’s dividend-paying defensives, investment-grade bonds, or government-anchored real assets.
The Bottom Line
The S&P 500 has a valuation problem that no earnings beat or technical rally can fully solve on its own. When the effective tariff rate on imports can change materially between now and year-end, every earnings model becomes a range of scenarios rather than a base case. And when analysts publish scenarios instead of forecasts, market volatility isn’t a glitch — it’s the only rational response.
Tariff clarity — a credible, stable trade policy framework that companies and investors can plan around — is the single variable that would most immediately reduce the fog. Until that arrives, Wall Street will keep doing what it has been doing all year: arguing about where fair value even begins.
Disclosure: This article was produced with AI assistance and reviewed before publication. It is for informational purposes only and is not investment advice.