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MNST or SYY or WMT
Which Stock Would AI Choose? Monster Beverage (MNST) vs. Sysco (SYY) vs. Walmart (WMT) Stock Comparison
Key Takeaways
- MNST delivered strong Q4 results with 17.6% net sales growth, though shares experienced mixed recent performance amid competitive pressures.
- SYY reaffirmed 3-5% fiscal 2026 sales growth guidance, supported by volume gains and strategic partnerships, with YTD gains of about 17%.
- WMT leads with robust YTD performance of over 13%, driven by e-commerce acceleration and advertising growth exceeding 50% in recent quarters.
- Relative performance shows WMT outperforming on longer-term returns, while MNST and SYY offer consumer staples stability in volatile markets.
- Valuation contrasts highlight SYY's attractive P/E around 24x versus higher multiples for growth-oriented MNST and WMT.
- AI bots on Tickeron show positive signals for consumer staples like WMT, with annualized returns up to 25% in recent trends.
Introduction
This stock comparison examines MNST, SYY, and WMT—key players in the consumer staples sector spanning energy drinks, food distribution, and retail. These stocks offer insights into defensive positioning amid market volatility, with varying growth drivers like digital expansion and volume recovery. Traders seeking relative performance metrics and investors eyeing stability in essentials will find value in analyzing their recent momentum, sector exposure, and sentiment shifts. This overview draws from recent financial results and market data to highlight contrasts in a dynamic environment.
MNST Overview and Recent Performance
Monster Beverage Corporation (MNST) is a leading developer and marketer of energy drinks, including Monster Energy and Reign brands, operating primarily in the U.S. and internationally through subsidiaries. The company reported resilient Q4 2025 results, with net sales up 17.6% year-over-year and adjusted EPS of $0.51 beating expectations. Recent market activity shows mixed share performance, with a modest weekly gain of 1.59% offset by a 3.94% monthly decline, reflecting competitive pressures in the beverage space. Analysts maintain a 'Buy' rating with targets around $100, buoyed by strong demand for sugar-free variants and partnerships, though near-term pullbacks have tempered sentiment.
SYY Overview and Recent Performance
Sysco Corporation (SYY) is the world's largest foodservice distributor, supplying restaurants, healthcare facilities, and institutions across the U.S., Canada, and Europe with products ranging from fresh produce to non-food items. In recent quarters, Sysco posted solid Q2 fiscal 2026 earnings, driven by margin strength and local volume growth, leading to a 6.7% share rise post-report. The company reaffirmed 3-5% sales growth guidance for fiscal 2026 amid leadership transitions and efficiency initiatives like AI-enhanced distribution. Shares have gained about 17% YTD, with a recent weekly uptick of 0.64%, though monthly softness of 1.74% highlights sensitivity to cost deflation in foodservice.
WMT Overview and Recent Performance
Walmart Inc. (WMT) operates a vast network of supercenters, discount stores, and e-commerce platforms worldwide, serving everyday low-price needs in groceries, apparel, and general merchandise. Recent performance underscores strength, with YTD returns exceeding 13% and 1-year gains over 50%, outpacing the S&P 500. Global e-commerce sales grew 27% and advertising 53% in the latest quarter, fueling acceleration amid broader retail challenges. Shares saw a 0.95% daily rise recently, though monthly dips of 5.5% reflect macro pressures; long-term momentum remains intact with steady revenue expansion.
Trending AI Robots
Tickeron’s Trending AI Robots page curates the top-performing AI trading bots from hundreds available on the platform, which collectively trade thousands of tickers using diverse strategies like trend following, dip buying, and hedging across timeframes from 5 minutes to daily. Only bots best suited to current market conditions—such as sector rotations in semiconductors, aerospace, and consumer staples—earn a spot, with stats like annualized returns up to +209%, win rates from 52-95%, and profit factors of 1.9-3.7 displayed transparently. For instance, a consumer staples bot targeting WMT shows +25% annualized return with 73% win rate, while others achieve +130% in multi-sector plays. These AI agents offer copy trading via signal, virtual, or brokerage modes. Explore the page to identify bots aligning with your style and market outlook.
Head-to-Head Comparison
MNST, SYY, and WMT span consumer staples but differ sharply in business models: MNST's branded energy drinks emphasize premium growth via innovation, contrasting SYY's B2B distribution reliant on volume and efficiency, and WMT's scale-driven retail with omnichannel dominance. Growth drivers include MNST's 17% sales surge versus WMT's e-commerce momentum, while SYY faces deflation risks. Recent momentum favors WMT's 50%+ yearly gains over SYY's steady 16% YTD and MNST's volatility. Risk factors: MNST competition, SYY labor costs, WMT macro sensitivity. Valuation sees SYY at ~24x P/E most accessible, with sentiment tilting to WMT's stability.
Tickeron AI Verdict
Tickeron’s AI currently favors WMT due to superior trend consistency, e-commerce catalysts, and relative positioning in consumer staples, evidenced by dedicated bots yielding positive returns. SYY offers stability via growth guidance, while MNST shows upside potential from earnings beats; however, WMT's scale provides probabilistic edge in recent market conditions.
Disclaimer
The information on this webpage is provided for general informational and educational purposes only and is not intended as investment advice, a recommendation to purchase or sell any security, or an offer or solicitation related to investments. It does not consider your personal financial situation, goals, or risk profile, and all investing carries inherent risks, including the possibility of losing your entire investment. For more details, please review our full disclaimer. Disclaimers and Limitations
Long-Term Analysis
It is best to consider a long-term outlook for a ticker by using Fundamental Analysis (FA) ratings. The rating of 1 to 100, where 1 is best and 100 is worst, is divided into thirds. The first third (a green rating of 1-33) indicates that the ticker is undervalued; the second third (a grey number between 34 and 66) means that the ticker is valued fairly; and the last third (red number of 67 to 100) reflects that the ticker is undervalued. We use an FA Score to show how many ratings show the ticker to be undervalued (green) or overvalued (red).
MNST’s FA Score shows that 1 FA rating(s) are green whileSYY’s FA Score has 1 green FA rating(s), and WMT’s FA Score reflects 3 green FA rating(s).
- MNST’s FA Score: 1 green, 4 red.
- SYY’s FA Score: 1 green, 4 red.
- WMT’s FA Score: 3 green, 2 red.
Short-Term Analysis
It is best to consider a short-term outlook for a ticker by using Technical Analysis (TA) indicators. We use Odds of Success as the percentage of outcomes which confirm successful trade signals in the past.
If the Odds of Success (the likelihood of the continuation of a trend) for each indicator are greater than 50%, then the generated signal is confirmed. A green percentage from 90% to 51% indicates that the ticker is in a bullish trend. A red percentage from 90% - 51% indicates that the ticker is in a bearish trend. All grey percentages are below 50% and are considered not to confirm the trend signal.
MNST’s TA Score shows that 4 TA indicator(s) are bullish while SYY’s TA Score has 4 bullish TA indicator(s), and WMT’s TA Score reflects 4 bullish TA indicator(s).
- MNST’s TA Score: 4 bullish, 5 bearish.
- SYY’s TA Score: 4 bullish, 4 bearish.
- WMT’s TA Score: 4 bullish, 5 bearish.
Price Growth
MNST (@Beverages: Non-Alcoholic) experienced а +5.28% price change this week, while SYY (@Food Distributors) price change was +5.38% , and WMT (@Discount Stores) price fluctuated +2.66% for the same time period.
The average weekly price growth across all stocks in the @Beverages: Non-Alcoholic industry was +2.02%. For the same industry, the average monthly price growth was -3.13%, and the average quarterly price growth was +164976.25%.
The average weekly price growth across all stocks in the @Food Distributors industry was +1.66%. For the same industry, the average monthly price growth was -2.57%, and the average quarterly price growth was -0.42%.
The average weekly price growth across all stocks in the @Discount Stores industry was +0.71%. For the same industry, the average monthly price growth was -1.87%, and the average quarterly price growth was +11.43%.
Reported Earning Dates
MNST is expected to report earnings on Apr 30, 2026.
SYY is expected to report earnings on Apr 28, 2026.
WMT is expected to report earnings on May 14, 2026.
Industries' Descriptions
@Beverages: Non-Alcoholic (+2.02% weekly)Non-alcoholic drinks include traces of alcohol or low alcohol content or without alcohol or alcohol removed. Functional Beverages, Carbonated Soft Drinks (CSDs), Sports Drinks, Fruit Beverages, and Bottled Water are some common types of non-alcoholic beverages. The largest segment in this market is soft drinks (think Pepsi and Coke). Many established companies in this space have also been stepping up production of low to zero-calorie varieties in recent years, to cater to a rising number of health-conscious consumers. Coca-Cola Company, Pepsico Inc, Keurig Dr Pepper Inc. and Monster Beverage Corporation are some major non-alcoholic beverage makers.
@Food Distributors (+1.66% weekly)Food distributors function as intermediaries between food manufacturers and food service operators (such as chefs, restaurants, beverage managers, cafeterias, industrial caterers, hospitals and nursing homes). Food distribution companies buy, store and then supply food items to the food service operators, thereby allowing the latter to have access to a wide range of food items from various manufacturers. Sysco Corporation, US Foods Holding Corp. and Herbalife Nutrition Ltd. are some of the biggest (by market cap) U.S. companies in this segment. Most food service operators buy from local, specialty, and/or broad line food service distributors on a daily or weekly basis. With the rise in e-commerce, consumers are increasingly expecting lower prices, faster service, and higher quality – something that potentially creates the impetus on distribution networks to raise their game.
@Discount Stores (+0.71% weekly)Companies in the discount stores industry specialize in offering substantial discounts on a vast array of retail products. Some companies in this industry also operate general merchandise warehouse clubs. Products sold at discount stores are typically similar to those of any department store, but the pricing of the goods is generally much lower (and hence the name “discount”). Think Dollar General Corporation, Dollar Tree, Inc. and Five Below, Inc. Many discount stores target low-income households and/or price-sensitive consumers as their potential market. Discount stores’ profitability could hinge on factors like competitive pricing, sufficient locations, healthy revenue per square foot, and effective advertisement. These store operators could have an edge over other retailers during financial crises or recessions, when many consumers could be looking for less expensive alternatives.
| MNST | SYY | WMT | |
| Capitalization | 74.5B | 35.9B | 1.03T |
| EBITDA | 2.53B | 4.1B | 46.5B |
| Gain YTD | -0.626 | 3.288 | 16.143 |
| P/E Ratio | 39.27 | 20.21 | 47.30 |
| Revenue | 8.29B | 82.6B | 713B |
| Total Cash | 2.77B | 169M | N/A |
| Total Debt | 199M | 15B | 68.4B |
MNST | SYY | WMT | ||
|---|---|---|---|---|
OUTLOOK RATING 1..100 | 73 | 16 | 22 | |
VALUATION overvalued / fair valued / undervalued 1..100 | 92 Overvalued | 50 Fair valued | 92 Overvalued | |
PROFIT vs RISK RATING 1..100 | 23 | 90 | 6 | |
SMR RATING 1..100 | 34 | 14 | 99 | |
PRICE GROWTH RATING 1..100 | 51 | 59 | 20 | |
P/E GROWTH RATING 1..100 | 59 | 48 | 33 | |
SEASONALITY SCORE 1..100 | 75 | 75 | 50 |
Tickeron ratings are formulated such that a rating of 1 designates the most successful stocks in a given industry, while a rating of 100 points to the least successful stocks for that industry.
SYY's Valuation (50) in the Food Distributors industry is somewhat better than the same rating for MNST (92) in the Beverages Non Alcoholic industry, and is somewhat better than the same rating for WMT (92) in the Specialty Stores industry. This means that SYY's stock grew somewhat faster than MNST’s and somewhat faster than WMT’s over the last 12 months.
WMT's Profit vs Risk Rating (6) in the Specialty Stores industry is in the same range as MNST (23) in the Beverages Non Alcoholic industry, and is significantly better than the same rating for SYY (90) in the Food Distributors industry. This means that WMT's stock grew similarly to MNST’s and significantly faster than SYY’s over the last 12 months.
SYY's SMR Rating (14) in the Food Distributors industry is in the same range as MNST (34) in the Beverages Non Alcoholic industry, and is significantly better than the same rating for WMT (99) in the Specialty Stores industry. This means that SYY's stock grew similarly to MNST’s and significantly faster than WMT’s over the last 12 months.
WMT's Price Growth Rating (20) in the Specialty Stores industry is in the same range as MNST (51) in the Beverages Non Alcoholic industry, and is somewhat better than the same rating for SYY (59) in the Food Distributors industry. This means that WMT's stock grew similarly to MNST’s and somewhat faster than SYY’s over the last 12 months.
WMT's P/E Growth Rating (33) in the Specialty Stores industry is in the same range as SYY (48) in the Food Distributors industry, and is in the same range as MNST (59) in the Beverages Non Alcoholic industry. This means that WMT's stock grew similarly to SYY’s and similarly to MNST’s over the last 12 months.
| MNST | SYY | WMT | |
|---|---|---|---|
| RSI ODDS (%) | 1 day ago 61% | 1 day ago 50% | N/A |
| Stochastic ODDS (%) | 1 day ago 44% | 1 day ago 47% | 1 day ago 28% |
| Momentum ODDS (%) | 1 day ago 54% | N/A | 1 day ago 67% |
| MACD ODDS (%) | 1 day ago 68% | N/A | 1 day ago 73% |
| TrendWeek ODDS (%) | 1 day ago 58% | 1 day ago 49% | 1 day ago 55% |
| TrendMonth ODDS (%) | 1 day ago 57% | 1 day ago 53% | 1 day ago 53% |
| Advances ODDS (%) | 1 day ago 58% | 9 days ago 49% | 1 day ago 55% |
| Declines ODDS (%) | 11 days ago 46% | 11 days ago 51% | 21 days ago 33% |
| BollingerBands ODDS (%) | 1 day ago 57% | 1 day ago 49% | 1 day ago 33% |
| Aroon ODDS (%) | 1 day ago 58% | 1 day ago 63% | 1 day ago 30% |
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MNST and
Correlation & Price change
A.I.dvisor indicates that over the last year, MNST has been loosely correlated with CCEP. These tickers have moved in lockstep 51% of the time. This A.I.-generated data suggests there is some statistical probability that if MNST jumps, then CCEP could also see price increases.
| Ticker / NAME | Correlation To MNST | 1D Price Change % | ||
|---|---|---|---|---|
| MNST | 100% | +1.40% | ||
| CCEP - MNST | 51% Loosely correlated | +0.49% | ||
| KO - MNST | 43% Loosely correlated | +1.15% | ||
| PEP - MNST | 42% Loosely correlated | +1.74% | ||
| CELH - MNST | 39% Loosely correlated | +1.00% | ||
| KDP - MNST | 35% Loosely correlated | +2.24% | ||
More | ||||
SYY and
Correlation & Price change
A.I.dvisor indicates that over the last year, SYY has been loosely correlated with USFD. These tickers have moved in lockstep 45% of the time. This A.I.-generated data suggests there is some statistical probability that if SYY jumps, then USFD could also see price increases.
| Ticker / NAME | Correlation To SYY | 1D Price Change % | ||
|---|---|---|---|---|
| SYY | 100% | -0.21% | ||
| USFD - SYY | 45% Loosely correlated | +0.43% | ||
| PFGC - SYY | 44% Loosely correlated | +1.21% | ||
| UNFI - SYY | 33% Loosely correlated | +1.82% | ||
| ANDE - SYY | 32% Poorly correlated | -0.66% | ||
| CHEF - SYY | 28% Poorly correlated | +2.05% | ||
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WMT and
Correlation & Price change
A.I.dvisor indicates that over the last year, WMT has been loosely correlated with COST. These tickers have moved in lockstep 66% of the time. This A.I.-generated data suggests there is some statistical probability that if WMT jumps, then COST could also see price increases.
| Ticker / NAME | Correlation To WMT | 1D Price Change % | ||
|---|---|---|---|---|
| WMT | 100% | +1.47% | ||
| COST - WMT | 66% Loosely correlated | +0.17% | ||
| PSMT - WMT | 39% Loosely correlated | +2.94% | ||
| BJ - WMT | 37% Loosely correlated | -1.58% | ||
| TGT - WMT | 30% Poorly correlated | +0.74% | ||
| OLLI - WMT | 27% Poorly correlated | -5.05% | ||
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