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ARKR vs SG
To compare these two companies we present long-term analysis, their fundamental ratings and make comparative short-term technical analysis which are presented below. The conclusion is ARKR is a StrongBuy and SG is a StrongBuy.
| ARKR | SG | ARKR / SG | |
| Capitalization | 17.6M | 845M | 2% |
| EBITDA | 468K | 90.3M | 1% |
| Gain YTD | -27.517 | 5.030 | -547% |
| P/E Ratio | N/A | 78.89 | - |
| Revenue | 156M | 682M | 23% |
| Total Cash | 9.49M | 143M | 7% |
| Total Debt | 84M | 355M | 24% |
ARKR | SG | ||
|---|---|---|---|
OUTLOOK RATING 1..100 | 72 | 36 | |
VALUATION overvalued / fair valued / undervalued 1..100 | 17 Undervalued | 97 Overvalued | |
PROFIT vs RISK RATING 1..100 | 100 | 100 | |
SMR RATING 1..100 | 94 | 87 | |
PRICE GROWTH RATING 1..100 | 78 | 46 | |
P/E GROWTH RATING 1..100 | 6 | 17 | |
SEASONALITY SCORE 1..100 | 50 | 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.
ARKR's Valuation (17) in the Restaurants industry is significantly better than the same rating for SG (97) in the Multi Line Insurance industry. This means that ARKR’s stock grew significantly faster than SG’s over the last 12 months.
ARKR's Profit vs Risk Rating (100) in the Restaurants industry is in the same range as SG (100) in the Multi Line Insurance industry. This means that ARKR’s stock grew similarly to SG’s over the last 12 months.
SG's SMR Rating (87) in the Multi Line Insurance industry is in the same range as ARKR (94) in the Restaurants industry. This means that SG’s stock grew similarly to ARKR’s over the last 12 months.
SG's Price Growth Rating (46) in the Multi Line Insurance industry is in the same range as ARKR (78) in the Restaurants industry. This means that SG’s stock grew similarly to ARKR’s over the last 12 months.
ARKR's P/E Growth Rating (6) in the Restaurants industry is in the same range as SG (17) in the Multi Line Insurance industry. This means that ARKR’s stock grew similarly to SG’s over the last 12 months.
| ARKR | SG | |
|---|---|---|
| RSI ODDS (%) | 2 days ago 80% | N/A |
| Stochastic ODDS (%) | 2 days ago 59% | 2 days ago 86% |
| Momentum ODDS (%) | 2 days ago 66% | 2 days ago 68% |
| MACD ODDS (%) | 2 days ago 75% | 2 days ago 75% |
| TrendWeek ODDS (%) | 2 days ago 67% | 2 days ago 78% |
| TrendMonth ODDS (%) | 2 days ago 66% | 2 days ago 84% |
| Advances ODDS (%) | 3 days ago 53% | 2 days ago 79% |
| Declines ODDS (%) | 5 days ago 62% | 12 days ago 88% |
| BollingerBands ODDS (%) | 2 days ago 69% | 2 days ago 84% |
| Aroon ODDS (%) | 2 days ago 70% | 2 days ago 83% |
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 overvalued. We use an FA Score to show how many ratings show the ticker to be undervalued (green) or overvalued (red).
ARKR’s FA Score shows that 2 FA rating(s) are green while SG’s FA Score has 1 green FA rating(s).
- ARKR’s FA Score: 2 green, 3 red.
- SG’s FA Score: 1 green, 4 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.
ARKR’s TA Score shows that 4 TA indicator(s) are bullish while SG’s TA Score has 6 bullish TA indicator(s).
- ARKR’s TA Score: 4 bullish, 4 bearish.
- SG’s TA Score: 6 bullish, 4 bearish.
Price Growth
ARKR (@Restaurants) experienced а -8.65% price change this week, while SG (@Restaurants) price change was +3.80% for the same time period.
The average weekly price growth across all stocks in the @Restaurants industry was -4.02%. For the same industry, the average monthly price growth was -6.41%, and the average quarterly price growth was +9.48%.
Reported Earning Dates
SG is expected to report earnings on Nov 05, 2026.
Industries' Descriptions
@Restaurants (-4.02% weekly)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.
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ARKR and
Correlation & Price change
A.I.dvisor tells us that ARKR and FRSH have been poorly correlated (+27% of the time) for the last year. This A.I.-generated data suggests there is low statistical probability that ARKR and FRSH's prices will move in lockstep.
| Ticker / NAME | Correlation To ARKR | 1D Price Change % | ||
|---|---|---|---|---|
| ARKR | 100% | -2.21% | ||
| FRSH - ARKR | 27% Poorly correlated | +0.17% | ||
| REBN - ARKR | 24% Poorly correlated | -0.84% | ||
| SDOT - ARKR | 21% Poorly correlated | -1.82% | ||
| STKS - ARKR | 21% Poorly correlated | +1.92% | ||
| SG - ARKR | 21% Poorly correlated | +5.03% | ||
More | ||||
SG and
Correlation & Price change
A.I.dvisor indicates that over the last year, SG has been loosely correlated with CAVA. These tickers have moved in lockstep 55% of the time. This A.I.-generated data suggests there is some statistical probability that if SG jumps, then CAVA could also see price increases.