Evidence brief · 31 August 2026

Monster drank the tech sector’s lunch.

A split- and dividend-adjusted $1,000 investment in Monster Beverage at the August 2001 close grew to about $2.32 million by 28 August 2026—more than Apple or Nvidia over the same 25-year window.

The geographic result

Not a tech-hub story

The direct test also points the other way: across 14 European markets, Monster-company retail value share is lower where ICT employment is more concentrated (r = −0.51). The separate U.S. search-interest test is negative too (r = −0.37).

Monster ending value

$2.32m

$1,000 invested at the August 2001 close

Annualised return

36.3%

25-year compound annual growth rate

Largest audited market

61.4%

U.S. & Canada share of 2025 segment net sales

01 · Long-run performance

Growth of a hypothetical $1,000

Adjusted closes at each August month-end; the logarithmic axis makes both the early and late compounding visible. Values exclude fees, taxes, and inflation.

31 Aug 2001 → 28 Aug 2026

Investment	Ending value	Multiple	Annualised
Monster Beverage MNST	$2,318,884	2,318.88×	36.34%
Apple AAPL	$1,152,438	1,152.44×	32.58%
Nvidia NVDA	$673,092	673.09×	29.75%
Microsoft MSFT	$29,658	29.66×	14.52%
Nasdaq-100 ETF QQQ	$23,211	23.21×	13.40%
S&P 500 ETF SPY	$10,585	10.59×	9.90%

02 · Where demand is largest

North America dominates audited sales

Monster does not publish a global regional table of cans consumed. Its strongest comparable public measure is 2025 net sales for the broader Monster Energy Drinks segment, which includes Monster, Reign, and Bang.

Evidence boundary

Sales dollars are not litres

Regional prices, product mix, exchange rates, and distributor timing differ. The chart supports “largest sales market,” not a literal per-capita consumption ranking.

Monster Energy Drinks segment net sales · US$ billions · FY2025

U.S. demand proxy

Highest relative search interest

Google Trends normalises each state against all searches there; 100 means the strongest relative interest, not the largest number of searches or cans sold. Small states can be noisier.

03 · Direct sales-share test

Actual retail sales do not cluster in tech economies

Monster’s latest NielsenIQ scanner tables make a cleaner comparison possible. Across 14 consistently scoped European markets, Monster Energy Company’s share of retail energy-drink value is lower—not higher—where ICT specialists make up more of the workforce.

−0.51

Pearson r

−0.44

Spearman ρ

Markets

Selected market

Belgium

MEC value share: 20.0%
ICT employment: 5.01%
ICT service exports: 14.9%

Choose a dot to inspect the market. Great Britain’s OECD workforce observation is from 2019; the rest are 2023.

Second technology measure

ICT-service exports: r = −0.06

The same retail shares are essentially unrelated to ICT services as a share of service exports. Ireland is an extreme export outlier; excluding it changes Pearson r to −0.58, still not a positive link.

Evidence boundary

Scanner share is close to sales, not consumption

NielsenIQ value share captures measured retail channels and prices. It does not count litres, identify buyers, or prove causation; Monster states that its proprietary scanner figures are not independently verified.

04 · U.S. proxy test

Monster interest rises away from tech-heavy states

Across 50 states and D.C., the correlation between relative “Monster Energy” search interest and tech workers as a share of employment is moderately negative, not positive.

−0.37

Pearson r

−0.44

Spearman ρ

0.13

R²

Selected area

Wyoming

Search interest: 100
Tech employment: 2.5%

Choose a dot or a state in the ranking above to inspect it.

The result survives Wyoming

Pearson r becomes −0.39 when the 100-index outlier is removed.

But it is not causal

Search interest is not consumption; state age, rurality, income, retail mix, and sampling can confound the association.

05 · Bottom line

The stock story is real. The tech-consumption story is not.

Investment performance: Monster was an extraordinary long-run compounder and beat the selected tech comparators in this particular 25-year window.

Geography: The audited sales centre is U.S. and Canada. Relative online interest is strongest in Wyoming, Utah, Idaho, West Virginia, and Kansas—not the canonical coastal tech hubs.

Direct sales test: Retail value share across 14 European markets is negatively associated with ICT-workforce concentration (r = −0.51) and essentially unrelated to ICT-service exports (r = −0.06).

U.S. proxy: State search interest also points to a modest negative association with tech concentration. Neither test tells us what individual tech workers drink, and no public brand-level consumption-by-state dataset was found.