World Cup to Drive +24 Basis Points in 2026 Global Beer Sales Volume

Overview

This report establishes panel regression models using historical data from 1990-2024 to quantify the impact of the 2026 FIFA World Cup on global beer sales volume. The core conclusion is that the World Cup will contribute approximately 24 basis points to global beer sales growth, which aligns with the midpoint of Anheuser-Busch InBev (ABi)'s disclosed 20-30 basis point guidance. Contrary to widespread consensus, the report finds that mere participation by teams contributes very little to sales growth; the real growth driver comes from countries that advance deeply in the tournament, particularly from the quarter-finals and beyond. This means the ultimate global impact depends on how far large-scale beer-consuming countries can progress.

Core views

Core views derived from the regression framework include: First, participation effect is negligible (Beta=0.1, p-value=0.86), participant countries basically do not generate additional sales; Second, deep advancement effect is significant and incrementally increases (p-value=0.13), each game from quarter-finals onwards contributes an average of about 70 basis points to the country's annual beer sales growth, cumulative to quarter-finals +80bps, semi-finals +150bps, final +215bps, exceeding the weak influence of early stages; Third, host nation effect exists but statistical significance is weak. Based on intuitive logic and tournament arrangement (USA to host 78 games, Canada and Mexico 13 each), host advantage is realized mainly through better match times, offline activities, and marketing activation, but deep advancement driving force is expected to still outweigh host dividends; Fourth, global aggregation effect is variable, depending on the scale and deep progression of participating teams. Monte Carlo simulation based on current betting odds implied probabilities shows risk biased upwards, because if Brazil and other large beer markets achieve deep advancement, it will significantly lift the global center. Among covered beer enterprises, ABi is expected to benefit most due to high exposure to competitive teams, important business layout in Latin America, and official FIFA World Cup beer partner status. Heineken is listed as the second beneficiary due to scale exposure in Latin America and good coverage of advancing teams. Although Carlsberg has high exposure to Europe, it faces unfavorable factors: strong teams it covers mostly come from Western Europe, where 2024 Euro performance suggests weather may offset football dividends, plus some key match times are unfavorable for European audiences. Royal Unibrew has the lowest exposure to qualified strong teams and historically has not benefited substantially from the World Cup, making correlation minimal.

Analysis framework

The report adopts a panel regression framework, controlling for country and year fixed effects, and adjusting for macroeconomic factors (GDP growth) and weather factors (precipitation changes), establishing a linear piecewise model to capture the non-linear effect of deep advancement. Specifically, the model sets the dependent variable as the national annual beer sales growth rate. Independent variables include participation dummy variable, indicator variable for each additional game after quarter-finals (max(0, Games Played-4)), actual GDP growth, and precipitation changes. Through experimental comparison of various function forms (quadratic, exponential, linear with no breakpoint, etc.), the report considers the current linear piecewise model reaches optimal balance in statistical significance, result stability, and interpretability. The model R² is 0.34, regarded as strong performance under constraints containing only World Cup, GDP, and precipitation. To estimate the overall global impact in 2026, the report derives implied probabilities for each country reaching each stage using Bet365 betting odds, and calculates the global sales growth distribution through Monte Carlo simulation combined with regression coefficients. The distribution shows right-skewness (upside risk) characteristics, mainly originating from the possibility of large beer markets achieving deep advancement. Regarding sales and inventory management, the report references ABI historical data (2018 and 2014) adopting an 80/20 split assumption, meaning sales concentrate in Q2 (80%), Q3 is 20%, reflecting the characteristic that consumption occurs mainly in match months (June-July) and stock is prepared in advance. The report further points out that since manufacturers and retailers do not know the final match results when stocking in Q2, if a country's team performance deviates significantly from expectations, Q3 will face de-stocking or restocking risks, using negative inventory adjustment after UK elimination early in 2010 as a historical case.

Methodology notes

• Industry/Industrial Analysis FrameworkSupply-demand framework

  Beer sales growth is mainly driven by demand side, not supply side constraints; World Cup as football event drives demand side consumption willingness enhancement

  The report treats World Cup as demand side shock, affecting sales volume by changing consumer demand intensity in social scenarios (home viewing, bar gathering). This is reflected in observation that sales volume increase is significantly greater in deep advancement stages (more key matches, higher national enthusiasm) than participation early stages.

• Quantitative/Factor/Portfolio TheoryBeta/alpha analysis

  Quantify sensitivity of specific events (World Cup, team deep advancement) to sales growth via regression coefficients (Beta)

  The report derives comparison of participation effect Beta=0.1 (approx zero) and deep advancement effect Beta=0.68 (higher statistical correlation) through panel regression, intuitively displaying size of event shock. This quantitative method allows investors to understand growth drivers under specific conditions.

• Cycle and Prosperity FrameworkBusiness Cycle Turning Point Analysis

  World Cup constitutes short-term business cycle turning point of consumption demand, forming quarterly fluctuation by accelerating inventory replenishment and terminal consumption concentration in specific months

  The report points out sales growth concentrates in Q2-Q3, and Q3 exists inventory reverse adjustment risk based on deviation between expectation and actual performance, this is actually tracking business cycle turning point and its transmission to upstream/downstream inventory cycle.

• Competition and Strategy FrameworkEconomies of scale / learning curve

  Large scale beer consumption countries (Brazil 147 million liters, Mexico 100 million liters vs UK 43 million liters) World Cup results have larger absolute contribution to global sales, reflecting scale advantage

  The report emphasizes in calculating global growth, must consider differences in each country's absolute sales volume. Team scale large countries deep advancement generated sales increment multiple will significantly exceed small countries, this is application of economies of scale in event driven.

• Macroeconomic frameworkCredit/debt cycle

  Coupling of inventory cycle and consumption cycle: Enterprises prepare stock in advance based on expected demand (via odds implied), actual consumption if deviates from expectation triggers inventory reverse adjustment

  The report demonstrates this mechanism through 80/20 split and UK 2010 case: Retailers prepare stock based on World Cup expected demand, if team eliminated early, expectation fails leading to Q3 de-stocking. This is manifestation of enterprise inventory decision and market expectation deviation.

• Fixed Income and Credit AnalysisSpread and Asset Quality

  Interaction of weather factor and geographic exposure: Europe faces double risk of unfavorable weather plus unsuitable schedule, while Latin America weather conditions more favorable and schedule time beneficial

  The report points out when analyzing Carlsberg and Heineken, experience of 2024 Euro indicates weather negative shock may offset positive effect of football event. This is similar to fixed income spread analysis thinking process - using differential to measure risk exposure combination effect.

Asset mapping & comparison

Structured mapping from thesis to named assets (strengths, weaknesses, peers, risks).

• Anheuser-Busch InBev(ABi)

  Beneficiary Target: High exposure to large consumer markets in Latin America (Brazil, Mexico) and these countries' teams have strong competitiveness; Also as official FIFA World Cup beer partner will gain unique brand exposure and marketing rights

  Strengths

  Geographic exposure advantage (25% North America, 39% Latin America revenue share), official sponsorship status brings incomparable brand activation and media exposure; USA as host country has favorable time slot arrangement

  Weaknesses

  Europe exposure relatively small (6%), cannot sufficiently benefit from strong European team dividends; If Latin American teams unexpectedly eliminate early then downside space is significant

  Comparison

  Compared to Heineken (Europe exposure 32% vs ABi's 6%), ABi's Latin America focus is higher, while Heineken is more balanced; Compared to Carlsberg (Europe exposure 51%), ABi's geographic dispersion is significantly better

  Risks

  If Brazil, Mexico and other Latin American strong teams perform below expectations, sales volume increase will be significantly lower than guidance; Q3 inventory adjustment risk amplified due to large exposure

• Heineken

  Moderate Beneficiary Target: Balanced Latin America exposure (26%) and Europe exposure (32%), covering multiple competitive teams, but lacks ABi's official sponsorship advantage

  Strengths

  Geographic exposure relatively balanced, can benefit from Latin American strong teams deep advancement, and also from major European teams (Spain, France, UK); Latin America favorable viewing time arrangement supports consumption

  Weaknesses

  Lacks official partner status and North America host country dividends compared to ABi; Some Europe exposure faces weather and schedule time unfavorable risks (semi-finals and final times unfriendly to European audiences)

  Comparison

  Lacks official status compared to ABi but geographic exposure more balanced; Compared to Carlsberg larger Latin America exposure, risk more diversified

  Risks

  If European teams perform poorly or weather shocks consumption demand, relative advantages will weaken; Lack of management expectation management related announcements may lead to low expectations

• Carlsberg

  Constrained Target: High Europe exposure (51%) but faces multiple headwinds—covered strong teams mostly come from Western Europe and weather risk is large, schedule time unfavorable for European audiences, company management has publicly expressed cautious attitude

  Strengths

  Exposure to eligible European teams (UK, Germany, Spain etc.) relatively concentrated and clear; Historically benefited from World Cup in Russia and other markets

  Weaknesses

  High Europe market share but 2024 Euro already proved weather may completely offset football dividends; Some key match times (e.g. quarter-finals delayed to evening for European audiences) unfavorable for consumption willingness; Management has actively discussed negative factors in recent financial reports meeting

  Comparison

  Compared to ABi and Heineken's global balanced layout, Carlsberg focusing Europe leads to risk concentration; Compared to Royal Unibrew pure Europe exposure, Carlsberg still has certain diversification but constrained by region

  Risks

  Weather and time double risks may lead to Europe sales volume increase significantly lower than Latin America; If greater than 1-2 degrees weather deviation will significantly impact summer consumption; Q3 inventory adjustment risk relatively controllable due to public expectations lowered by management

• Royal Unibrew

  Minimal Beneficiary Target: High Europe exposure (34%) but lowest exposure to qualified teams, historically has not obtained substantial sales growth from World Cup

  Weaknesses

  Lowest exposure to qualified/strong teams, sales volume increase expected extremely limited; High Europe market share faces same weather and time risks as Carlsberg; Historical experience indicates company benefits less from World Cup

  Comparison

  Affected least by World Cup compared to other three; Compared to Carlsberg still has some exposure to partial European strong teams, Royal Unibrew qualified team coverage weaker

  Risks

  World Cup does not constitute major sales volume driver; If Europe weather and time risks materialize, relative downside space may exceed upside opportunity

Key data

• Expected Rise in Global Annual Beer Sales Volume (Basis Points)24Median result of Monte Carlo simulation, consistent with midpoint of ABi guidance range of 20-30bps
• Participation Effect Regression Coefficient (Beta)0.1Statistical p-value=0.86, indicates merely participation itself has no significant impact on sales growth
• Deep Advancement Effect Regression Coefficient (Beta, per additional game after quarter-finals)0.68Statistical p-value=0.13, strongest correlated variable in model
• Implied Sales Volume Increase at Quarter-Final Stage (Basis Points)80Reaches this level after cumulative 5 games (including prior 3 participation and 2 early elimination matches)
• Implied Sales Volume Increase at Semi-Final Stage (Basis Points)150Additional 70bps compared to quarter-finals
• Implied Sales Volume Increase at Final Stage (Basis Points)215Highest increase predicted by model, additional 65bps compared to semi-finals
• Brazil Beer Market Size (Million Liters)147Single largest beer consumption market globally
• Mexico Beer Market Size (Million Liters)100Second largest Latin American market, will receive additional advantages as co-host part
• UK Beer Market Size (Million Liters)43Major European market, but subject to larger volatility risk due to team performance
• Spain Implied Probability to Reach Final26%Derived implied probability based on Bet365 odds (April 30, 2026)
• France Implied Probability to Reach Final22%Second highest probability among European teams
• UK Implied Probability to Reach Final21%Forms tier with Portugal (14%) and Germany (14%)
• Brazil Implied Probability to Reach Final17%Highest among Latin American teams, reflects comprehensive advantage of market size and competitive strength
• Model R-Squared Value0.34Under constraint of only including World Cup, GDP growth and precipitation variables, considered strong performance by report
• Q2 and Q3 Sales Split Ratio80/20Based on ABI 2018 and 2014 historical data, reflects sales pre-concentration in match month characteristics
• 2026 World Cup Team Count Change32→48New format first time adopting 48 teams participation
• 2026 World Cup Total Match Count Change64→104Increase 40 matches, mainly distributed in group stage and added 32-round round
• 2026 World Cup Average Matches Per Team Change4.0→4.3Average per team increases 0.3 matches
• UK Q3 Beer Sales Change (YoY) 2010-9.7%Significant de-stocking appeared in Q3 after team eliminated early at Round of 16, is historical case of inventory reverse adjustment risk
• ABi Beer Sales Growth in Brazil During Past World Cups (In-Season)+LSD%Historically typically generates single-digit percentage sales growth during the World Cup season

Impact & implications

The implications of this study for the beer industry and related listed companies are mainly reflected in three levels. First, looking at global sales expectations, the expected increase of +24bps belongs to considerable but non-explosive growth, mainly concentrated in Q2-Q3, meaning beer enterprises' revenue and cash flow will increase in these two quarters, but the growth rate improvement after annual averaging is limited. Second, looking at enterprise differentiation, since the World Cup effect relies extremely heavily on team deep advancement and market size, ABi and Heineken are expected to benefit due to layout advantages, while Carlsberg and Royal Unibrew have lower correlation. This implies investors evaluating quarterly performance of beer enterprises in 2026 should focus closely on the coupling relationship between each company's geographic exposure and tournament progress. Third, inventory and Q3 risks deserve vigilance—if a country's team performance deviates significantly from market expectations (especially European strong teams eliminated early or Latin American teams unexpectedly advancing deep), retail inventory adjustments could lead to downward or upward revisions in Q3 sales, amplitude possibly reaching tens of basis points, which may cause disturbances in markets relying on single-quarter performance guidance. Finally, tournament reform (increase in team count and match count) has limited amplification effect on deep advancement, because new matches are mainly in early stages, sales drivers still come mainly from quarter-finals and onwards, meaning expanding the tournament format's actual contribution to global aggregation growth rate may be lower than expected.

Risks

• If a country's team performance deviates significantly from market expectations (especially early elimination or unexpected deep advancement), Q3 will face systemic risk of inventory reverse adjustment (de-stocking/restocking), amplitude possibly reaching tens of basis points
• Europe market faces risk of weather offsetting football dividends proven by 2024 Euro, bad summer weather may completely eliminate sales volume increase brought by World Cup
• Schedule time of some key matches (quarter-finals and onwards) unfavorable for European and Asian audiences, may suppress consumption willingness in these regions
• If Latin America large markets (Brazil, Mexico) team performance below expectations, global aggregation growth rate will be significantly lower than expected 24 basis points center
• 2026 new format added match count and teams although expanded basics, new matches mainly concentrate in early stages, incremental contribution to deep advancement stages (part really driving sales volume) limited
• Model p-value 0.13 although shows reasonable relationship but strictly statistical sense not reached 5% significance level, certain model stability risk exists

What to watch

• Track actual performance of various countries' football teams in group stage, 32-round and 16-round stages against Bet365 odds implied expectations, predict Q3 inventory adjustment risk
• Management earnings call guidance statements in Q2 regarding World Cup sales volume contribution specifics (such as ABi's 20-30bps, Ambev's 30-40bps etc.), re-calibrate expectations with latest betting odds probabilities
• Enterprises quarterly tracking data of sales volume growth in specific regions (especially Latin America and Europe), used to evaluate actual deep advancement effect convergence with model predictions
• Retail end inventory dynamics and retailer stockpiling rhythm from mid-to-late June to mid-July, as forward indicators for Q2 sales confirmation and Q3 adjustment direction
• Weather forecast and official schedule finalization confirmed match times for different regions (especially Europe), assess time difference and weather impact on respective enterprises