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ExxonMobil (XOM) vs Caterpillar (CAT)

Live side-by-side comparison with current values, changes, and key statistics.

ByConvex Research Desk·Edited byBen Bleier·

Also known as: Exxon Mobil (XOM) (STK_XOM, Exxon) · Caterpillar (CAT) (STK_CAT, Caterpillar)

Equity Stockdaily
Exxon Mobil (XOM)
$152.75
7D +2.58%30D -4.94%
Updated
Equity Stockdaily
Caterpillar (CAT)
$889.67
7D +7.09%30D +24.04%
Updated

Why This Comparison Matters

XOM closed at $154.40 on April 29, 2026 with a market cap of $642.9 billion, up 27.6 percent year-to-date and 57.86 percent over the trailing 12 months. CAT closed at $818.09 with a market cap of $380.65 billion, up 32 percent year-to-date and at an all-time high of $845.27 set on April 23, 2026. Both stocks have outperformed SPY substantially this year, but for completely different reasons: XOM is being repriced on the Iran war (WTI surged from $73 to $114 since the February 28 strikes) while CAT is being repriced on a data-center power-generation backlog plus Chinese stimulus. The pair is one of the cleanest available studies of how two cyclical names can rally simultaneously without sharing a driver.

The April 2026 Snapshot: XOM $154.40, CAT $818.09

XOM closed at $154.40 on April 29, 2026 with annual dividend $4.12 per share (yield 2.66 percent). CAT closed at $818.09 with annual dividend $6.04 per share (yield 0.74 percent). XOM market cap is $642.9 billion versus CAT at $380.65 billion. Both names sit near or at all-time highs.

Year-to-date 2026 returns: XOM +27.6 percent, CAT +32 percent. SPY is approximately -2 percent on the same window after the Iran-war drawdown. The 24-month picture: XOM +58 percent, CAT +73 percent. Both outperform SPY at +28 percent over the same window, but with very different paths. XOM has been driven by oil price volatility (WTI $55 in December 2025 to $114 peak April 6, 2026); CAT has been driven by analyst upgrades and a specific industrial demand story disconnected from oil.

Two Cyclicals, Two Different Cycles

Cyclical-vs-cyclical pairs are usually expected to track each other through global growth conditions. XOM and CAT historically did this through 2010 to 2018: when global PMIs rose, both rallied; when they fell, both fell. The correlation across that period was approximately +0.65.

The 2024 to 2026 period broke the historical pattern. XOM's primary driver became geopolitical: WTI moved on Russia-Ukraine, OPEC+ decisions, and most recently the Iran war. CAT's primary driver became technology-cycle adjacent: data-center power generation creates demand for CAT's industrial-engine business that does not depend on oil prices. The result is that the XOM-CAT correlation has fallen to approximately +0.15 over the trailing 24 months, the lowest reading since the early 1990s. Two cyclicals that used to move together no longer do.

XOM's Iran-Driven 28% YTD Surge

WTI traded at approximately $73 per barrel on February 27, 2026, the day before US-Israel strikes on Iran. By April 6 WTI had peaked at $114.01, a 56 percent move in 5 weeks. The single largest energy price shock since the 1973 oil embargo. XOM stock moved from approximately $121 (February 27 close) to peak $159 on April 25, 2026, roughly +31 percent.

XOM's upstream segment is highly oil-price sensitive: every $10 per barrel sustained move adds approximately $3 to $4 billion to annual operating cash flow. Q1 2026 results (reported May 1, 2026, just outside this window) are expected to capture only a partial month of post-strike pricing; Q2 is when the full Iran-war benefit materializes. The market has priced this through the rally, putting XOM at a price-to-earnings multiple of approximately 13.4x trailing earnings (modest by tech standards but elevated for energy). The forward P/E using Q2 2026 estimated cash flow drops to approximately 11x, suggesting the market has not fully priced sustained $100+ oil into XOM yet.

CAT's Capex Cycle: Data-Center Power + China Stimulus

Caterpillar reports Q1 2026 earnings on April 30, 2026 (today's date). Consensus estimates: $4.55 per share EPS on $16.42 billion revenue (representing 7 percent EPS growth and 15.2 percent revenue growth year-over-year). Bank of America raised its CAT price target to $930 in April 2026 on energy outlook strength.

The driver: CAT's Energy & Transportation segment carries a multi-year backlog of orders for industrial engines used in data-center backup-power systems. Hyperscale data centers (AWS, Microsoft, Google) require 30 to 100 megawatts of backup power per facility, and CAT is one of two suppliers globally with the scale to provide it. The segment has gone from cyclical-with-oil-and-gas to growth-coupled-to-AI-buildout. Combined with a separate cycle in the Resource Industries segment (mining equipment, copper mining demand from grid electrification) and tentative Chinese stimulus boosting Asia-Pacific orders, CAT has three independent demand drivers that don't require high oil prices. CAT's P/E ratio of 43.21 reflects this: the market is paying for sustained 7 to 10 percent EPS growth out multiple years, not for cyclical earnings power.

The 0.74% vs 2.66% Dividend Spread (And What It Means)

XOM's 2.66 percent dividend yield versus CAT's 0.74 percent is one of the largest yield differentials between two large-cap industrials in the S&P 500. The gap reflects fundamentally different capital allocation philosophies.

XOM has paid uninterrupted dividends since 1882 and has raised its dividend annually for 41 consecutive years (Dividend Aristocrat status). The high yield reflects both the maturity of the energy-supermajor business model (limited reinvestment opportunities) and the long-standing commitment to returning cash to shareholders. CAT pays a dividend ($6.04 annualized) but reinvests heavily in research and capital expenditure, particularly for its Energy & Transportation expansion. The capital reinvestment has paid off recently with the data-center backlog. For income-focused allocators, XOM is meaningfully more attractive; for total-return-focused allocators, CAT's YTD outperformance shows the tradeoff is currently in CAT's favor.

The 2014-2016 Oil Crash: XOM -30%, CAT -25%

The 2014 to 2016 oil crash took WTI from $107 (June 2014) to $26 (February 2016), a 76 percent drawdown over 20 months. XOM stock fell from $104 to $73 (-30 percent) over the same period. CAT fell from $108 to $58 (-46 percent peak-to-trough), worse than XOM despite the supposed lack of direct oil exposure.

The reason: CAT's Energy & Transportation segment was at the time heavily exposed to oil-and-gas drilling equipment and engines for fracking operations. When US shale capex collapsed alongside oil prices, CAT's order book collapsed too. The 2014 to 2016 episode was the cleanest example of XOM and CAT moving together through an energy-cycle shock. It is also the historical episode that allocators most often cite as the canonical "cyclicals decline together" pattern, but it overstates how tied the two stocks now are because CAT's revenue mix has shifted dramatically since.

The 2020 COVID: XOM -50%, CAT -40% (Pure Demand Crash)

The COVID demand shock in March 2020 produced one of the largest synchronized declines in cyclical names ever recorded. WTI futures briefly traded negative on April 20, 2020. Global PMIs collapsed across all manufacturing economies. XOM fell from $70 (January 2020) to $32 peak-to-trough (-54 percent). CAT fell from $147 to $90 peak-to-trough (-39 percent).

CAT's relative outperformance during COVID (negative 39 versus negative 54 percent) came from two sources. First, CAT had broader diversification across construction, mining, and infrastructure that did not all collapse at once. Second, the market began pricing massive fiscal-infrastructure spending packages (which eventually materialized in 2021 to 2022 as the Infrastructure Investment and Jobs Act) before XOM's oil demand recovered. The 2020 episode established the template that CAT can outperform XOM even during shared cyclical shocks because of the increasing share of CAT's revenue tied to non-oil cycles.

The XOM-CAT Spread as a Macro Indicator

The XOM-CAT spread, measured as XOM/CAT price ratio or as relative trailing 12-month return, has historically signaled three macro regimes. When XOM strongly outperforms CAT, geopolitical or supply-side oil shocks dominate (1990 Gulf War, 2008 oil peak, 2022 Russia-Ukraine, 2026 Iran war). When CAT strongly outperforms XOM, infrastructure or capex cycles dominate (2009 to 2011 stimulus, 2017 to 2018 tax cut, 2024 to 2026 data center buildout). When neither outperforms persistently, broad cyclical recovery or expansion is in progress (2003 to 2007, 2019).

April 2026 is unusual: both XOM and CAT are outperforming SPY substantially, with CAT slightly ahead of XOM year-to-date. The combination signals that two independent cycle drivers are active simultaneously, an unusual configuration that has not occurred since the late 1970s. The forward implication: if either cycle inflects (Iran ceasefire reduces oil; data-center capex slows from saturation), the affected stock will underperform sharply while the other continues. The pair is therefore behaving more like two independent single-name trades than like a peer-comparison spread, which is itself the diagnostic.

When XOM Beats CAT: Iran-Style Supply Shocks

Three sustained windows in the past 25 years have seen XOM materially outperform CAT: the 2007 to 2008 oil run to $147 (XOM +35 percent vs CAT +18 percent), the 2011 Arab Spring oil rally to $114 (XOM flat vs CAT -5 percent), and the 2022 Russia-Ukraine episode (XOM +40 percent vs CAT +5 percent over 12 months).

The pattern: XOM beats CAT when oil rallies on supply concerns rather than demand strength. Demand-driven oil rallies (2003 to 2007 China growth-driven oil from $30 to $147) tend to lift both names because they coincide with global capex cycles. Supply-shock-driven oil rallies (Iran 2026, Russia 2022, Arab Spring 2011) lift XOM but provide no help to CAT because they are net-negative for global growth and therefore for industrial demand. The current 2026 episode fits the supply-shock template: WTI is rallying on geopolitical fear, not on demand strength, and CAT's outperformance is driven by an entirely separate non-oil-related driver (data center capex) rather than from the oil rally itself.

When CAT Beats XOM: Multi-Cycle Setups Like 2026

CAT outperforms XOM in three distinguishable regimes. Infrastructure-spending cycles: 2009 to 2011 fiscal stimulus, 2021 to 2022 IIJA buildout, current 2024 to 2026 data center capex (CAT +73 percent vs XOM +58 percent over 24 months). Late-cycle disinflation with stable oil: 2018 to 2019 (CAT +18 percent vs XOM -2 percent). Oil-bear cycles where CAT diversification protects: 2014 to 2016 had CAT down less in percentage terms only after late-cycle stabilization in mining and construction overcame initial drilling-equipment hit.

The forward setup for 2026 to 2027: if Iran ceasefire holds and WTI declines back to $70 to $80 range while data center capex continues at current pace, CAT extends outperformance and XOM gives back gains. If Iran war intensifies and WTI sustains $100+, XOM extends outperformance while CAT holds because of the independent capex cycle. The combination of factors that would hurt both stocks would require simultaneous oil decline and capex pause, which historically has only occurred during severe global recessions. Forward 12-month base case (50 percent probability): CAT continues to lead by 5 to 10 percentage points; XOM stable to up modestly. Recession case (15 percent): both decline 25 to 35 percent, CAT relatively defensive at -25 vs XOM at -35.

Conditional Forward Response (Tail Events)

How Caterpillar (CAT) has historically behaved in the 5 sessions following a top-decile or bottom-decile daily move in Exxon Mobil (XOM). Computed from 1,262 aligned daily observations ending .

Up-shock
Exxon Mobil (XOM) top-decile up-day (mean trigger +3.03%)
Mean 5D forward
+0.03%
Median 5D
-0.28%
Edge vs baseline
-0.58 pp
Hit rate (positive)
46%

Following these triggers, Caterpillar (CAT) rises 0.03% on average over the next 5 sessions, versus an unconditional baseline of +0.61%. 126 qualifying events; Caterpillar (CAT) closed positive in 46% of them.

n = 126 trigger events
Down-shock
Exxon Mobil (XOM) bottom-decile down-day (mean trigger -3.01%)
Mean 5D forward
+0.97%
Median 5D
+0.79%
Edge vs baseline
+0.36 pp
Hit rate (positive)
64%

Following these triggers, Caterpillar (CAT) rises 0.97% on average over the next 5 sessions, versus an unconditional baseline of +0.61%. 127 qualifying events; Caterpillar (CAT) closed positive in 64% of them.

n = 127 trigger events

Past behavior in the tails is descriptive, not predictive. Mean response is the simple arithmetic mean of compounded 5-day forward returns following each trigger event; baseline is the unconditional mean across the full sample window. Edge measures the gap between the two.

90-Day Statistics

Exxon Mobil (XOM)
90D High
$171.47
90D Low
$138.4
90D Average
$153.67
90D Change
+10.37%
71 data points
Caterpillar (CAT)
90D High
$890.11
90D Low
$667.43
90D Average
$752.99
90D Change
+28.77%
71 data points

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Frequently Asked Questions

What are the April 30, 2026 prices and dividends for XOM and CAT?+

XOM closed at $154.40 on April 29, 2026 with annual dividend $4.12 (yield 2.66 percent), market cap $642.9 billion. CAT closed at $818.09 with annual dividend $6.04 (yield 0.74 percent), market cap $380.65 billion, hitting an all-time high of $845.27 on April 23, 2026. Year-to-date 2026 returns: XOM +27.6 percent, CAT +32 percent.

Why has the XOM-CAT correlation broken down?+

XOM-CAT correlation has fallen from approximately +0.65 (2010 to 2018) to approximately +0.15 over the trailing 24 months, the lowest in 30 years. The cause is independent cycle drivers: XOM is now driven primarily by geopolitical oil events (Iran 2026, Russia 2022) while CAT is driven primarily by the data-center power-generation capex backlog plus mining/construction cycles. Two cyclicals that used to share global-growth exposure no longer do because their revenue mixes have diverged.

Why is CAT's P/E 43 while XOM's is 13?+

CAT trades at a P/E of 43.21 reflecting the market pricing sustained 7 to 10 percent EPS growth from the data-center capex backlog plus secular grid-electrification and mining cycles. XOM trades at a P/E of approximately 13.4x reflecting cyclical earnings power that the market expects to mean-revert with oil prices. The gap is structural: CAT is being valued like a tech-adjacent industrial growth stock, XOM like a mature commodity producer. The risk for CAT is multiple compression if the data-center capex cycle slows; the risk for XOM is sustained oil decline.

How did XOM and CAT perform during the 2014-2016 oil crash?+

WTI fell from $107 to $26 (negative 76 percent) between June 2014 and February 2016. XOM fell from $104 to $73 (negative 30 percent peak-to-trough). CAT fell from $108 to $58 (negative 46 percent peak-to-trough), worse than XOM. The reason CAT fell more: at the time, CAT's Energy & Transportation segment was heavily exposed to US shale-drilling equipment and engines for fracking. When US shale capex collapsed alongside oil prices, CAT's order book collapsed too. CAT's revenue mix has since shifted away from oil-and-gas drilling toward data-center backup power, so the 2014-2016 pattern is unlikely to repeat.

Does CAT's data-center backlog actually exist?+

Yes. CAT's Q4 2025 earnings call disclosed a multi-year Energy & Transportation segment backlog driven primarily by hyperscale data center backup-power demand. The backlog has been confirmed by management on multiple subsequent calls and is reflected in segment revenue growth of approximately 20 percent year-over-year. Hyperscale data centers require 30 to 100 megawatts of redundant backup power per facility; CAT and one major competitor are the only global suppliers with the production scale to fulfill the demand. The Q1 2026 earnings on April 30 will provide the next update on backlog scale.

What does XOM-CAT outperformance tell us about the macro?+

XOM strongly leading CAT signals supply-side oil shocks dominate the macro picture (Iran 2026, Russia 2022, Arab Spring 2011, 1990 Gulf War). CAT strongly leading XOM signals capex or infrastructure cycles dominate (2009 to 2011 stimulus, 2017 to 2018 tax-cut capex, 2024 to 2026 data centers). Neither leading persistently signals broad cyclical expansion. April 2026 is unusual because both are outperforming SPY simultaneously, indicating two independent cycles are active at once, the rarest configuration of the three.

How would a recession affect XOM vs CAT?+

A severe global recession would hit both names but with different magnitudes based on historical templates. The 2008-2009 recession produced XOM negative 38 percent and CAT negative 70 percent peak-to-trough. The 2020 COVID demand shock produced XOM negative 54 percent and CAT negative 39 percent peak-to-trough; CAT's relative outperformance came from infrastructure-spending pricing-in. Forward base recession case (15 percent probability): both decline 25 to 35 percent, with CAT modestly more defensive than XOM because of the multi-cycle support from data centers and mining, but the magnitude depends entirely on whether data center capex continues during recession.

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