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).
BROS’s FA Score shows that 0 FA rating(s) are green whileCAVA’s FA Score has 1 green FA rating(s).
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.
BROS’s TA Score shows that 7 TA indicator(s) are bullish while CAVA’s TA Score has 4 bullish TA indicator(s).
BROS (@Restaurants) experienced а -1.21% price change this week, while CAVA (@Restaurants) price change was -3.95% for the same time period.
The average weekly price growth across all stocks in the @Restaurants industry was -0.48%. For the same industry, the average monthly price growth was +10.00%, and the average quarterly price growth was +32.32%.
BROS is expected to report earnings on Feb 19, 2025.
CAVA is expected to report earnings on Nov 12, 2024.
The industry includes companies that operate full-service restaurants, fast food restaurants, cafeterias and snack bars. McDonald`s Corporation, Starbucks Corporation, YUM! Brands, Inc. and Restaurant Brands International Inc. are some of the largest U.S. restaurant-owning companies in terms of market capitalization. While restaurant spending could be viewed as discretionary for consumers, some companies in the business have been able to weather economic cycles by establishing strong loyalty among customers over the years. Many of them also have a strong global presence as well.
BROS | CAVA | BROS / CAVA | |
Capitalization | 5.31B | 16.2B | 33% |
EBITDA | 173M | 101M | 171% |
Gain YTD | 47.174 | 228.944 | 21% |
P/E Ratio | 155.37 | 344.83 | 45% |
Revenue | 1.12B | 845M | 132% |
Total Cash | 261M | 344M | 76% |
Total Debt | 911M | 359M | 254% |
BROS | CAVA | |
---|---|---|
RSI ODDS (%) | 3 days ago90% | 3 days ago55% |
Stochastic ODDS (%) | 3 days ago74% | 3 days ago90% |
Momentum ODDS (%) | 3 days ago88% | 3 days ago90% |
MACD ODDS (%) | 3 days ago83% | 3 days ago36% |
TrendWeek ODDS (%) | 3 days ago78% | 3 days ago69% |
TrendMonth ODDS (%) | 3 days ago76% | 3 days ago90% |
Advances ODDS (%) | 6 days ago82% | 7 days ago90% |
Declines ODDS (%) | 3 days ago79% | 17 days ago76% |
BollingerBands ODDS (%) | 3 days ago78% | 3 days ago47% |
Aroon ODDS (%) | 3 days ago75% | 3 days ago90% |
1 Day | |||
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A.I.dvisor indicates that over the last year, BROS has been loosely correlated with FRSH. These tickers have moved in lockstep 50% of the time. This A.I.-generated data suggests there is some statistical probability that if BROS jumps, then FRSH could also see price increases.
Ticker / NAME | Correlation To BROS | 1D Price Change % | ||
---|---|---|---|---|
BROS | 100% | -0.62% | ||
FRSH - BROS | 50% Loosely correlated | -3.62% | ||
SG - BROS | 31% Poorly correlated | -0.45% | ||
FWRG - BROS | 31% Poorly correlated | -3.75% | ||
DAVE - BROS | 30% Poorly correlated | +0.13% | ||
CAVA - BROS | 25% Poorly correlated | +2.20% | ||
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A.I.dvisor indicates that over the last year, CAVA has been loosely correlated with SG. These tickers have moved in lockstep 41% of the time. This A.I.-generated data suggests there is some statistical probability that if CAVA jumps, then SG could also see price increases.
Ticker / NAME | Correlation To CAVA | 1D Price Change % | ||
---|---|---|---|---|
CAVA | 100% | +2.20% | ||
SG - CAVA | 41% Loosely correlated | -0.45% | ||
WING - CAVA | 40% Loosely correlated | -4.14% | ||
SHAK - CAVA | 32% Poorly correlated | -2.05% | ||
TXRH - CAVA | 31% Poorly correlated | -0.46% | ||
KRUS - CAVA | 30% Poorly correlated | -4.52% | ||
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