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GTIM 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 GTIM is a StrongBuy and SG is a StrongBuy.
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).
GTIM’s FA Score shows that 0 FA rating(s) are green whileSG’s FA Score has 0 green FA rating(s).
- GTIM’s FA Score: 0 green, 5 red.
- SG’s FA Score: 0 green, 5 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.
GTIM’s TA Score shows that 4 TA indicator(s) are bullish while SG’s TA Score has 4 bullish TA indicator(s).
- GTIM’s TA Score: 4 bullish, 4 bearish.
- SG’s TA Score: 4 bullish, 3 bearish.
Price Growth
GTIM (@Restaurants) experienced а +1.86% price change this week, while SG (@Restaurants) price change was -4.48% for the same time period.
The average weekly price growth across all stocks in the @Restaurants industry was -0.11%. For the same industry, the average monthly price growth was -2.77%, and the average quarterly price growth was -5.98%.
Reported Earning Dates
GTIM is expected to report earnings on Dec 11, 2025.
SG is expected to report earnings on Nov 05, 2025.
Industries' Descriptions
@Restaurants (-0.11% 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.
| GTIM | SG | GTIM / SG | |
| Capitalization | 17.3M | 984M | 2% |
| EBITDA | 4.86M | -29.06M | -17% |
| Gain YTD | -36.680 | -74.049 | 50% |
| P/E Ratio | 13.67 | N/A | - |
| Revenue | 143M | 686M | 21% |
| Total Cash | 3.14M | 168M | 2% |
| Total Debt | 43.2M | 339M | 13% |
GTIM | SG | ||
|---|---|---|---|
OUTLOOK RATING 1..100 | 63 | 58 | |
VALUATION overvalued / fair valued / undervalued 1..100 | 48 Fair valued | 100 Overvalued | |
PROFIT vs RISK RATING 1..100 | 100 | 100 | |
SMR RATING 1..100 | 87 | 96 | |
PRICE GROWTH RATING 1..100 | 85 | 95 | |
P/E GROWTH RATING 1..100 | 95 | 70 | |
SEASONALITY SCORE 1..100 | 85 | n/a |
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.
GTIM's Valuation (48) in the Restaurants industry is somewhat better than the same rating for SG (100) in the Multi Line Insurance industry. This means that GTIM’s stock grew somewhat faster than SG’s over the last 12 months.
GTIM'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 GTIM’s stock grew similarly to SG’s over the last 12 months.
GTIM's SMR Rating (87) in the Restaurants industry is in the same range as SG (96) in the Multi Line Insurance industry. This means that GTIM’s stock grew similarly to SG’s over the last 12 months.
GTIM's Price Growth Rating (85) in the Restaurants industry is in the same range as SG (95) in the Multi Line Insurance industry. This means that GTIM’s stock grew similarly to SG’s over the last 12 months.
SG's P/E Growth Rating (70) in the Multi Line Insurance industry is in the same range as GTIM (95) in the Restaurants industry. This means that SG’s stock grew similarly to GTIM’s over the last 12 months.
| GTIM | SG | |
|---|---|---|
| RSI ODDS (%) | 1 day ago 75% | 1 day ago 80% |
| Stochastic ODDS (%) | 1 day ago 87% | 1 day ago 81% |
| Momentum ODDS (%) | 1 day ago 77% | 1 day ago 74% |
| MACD ODDS (%) | 1 day ago 68% | 1 day ago 73% |
| TrendWeek ODDS (%) | 1 day ago 76% | 1 day ago 81% |
| TrendMonth ODDS (%) | 1 day ago 80% | 1 day ago 83% |
| Advances ODDS (%) | N/A | N/A |
| Declines ODDS (%) | 1 day ago 79% | 1 day ago 81% |
| BollingerBands ODDS (%) | N/A | 1 day ago 84% |
| Aroon ODDS (%) | 1 day ago 76% | 1 day ago 82% |
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GTIM and
Correlation & Price change
A.I.dvisor tells us that GTIM and KRUS have been poorly correlated (+28% of the time) for the last year. This A.I.-generated data suggests there is low statistical probability that GTIM and KRUS's prices will move in lockstep.
| Ticker / NAME | Correlation To GTIM | 1D Price Change % | ||
|---|---|---|---|---|
| GTIM | 100% | -0.61% | ||
| KRUS - GTIM | 28% Poorly correlated | -2.42% | ||
| SG - GTIM | 25% Poorly correlated | -0.24% | ||
| SGLOF - GTIM | 25% Poorly correlated | N/A | ||
| PTLO - GTIM | 25% Poorly correlated | +0.79% | ||
| RICK - GTIM | 24% Poorly correlated | +9.18% | ||
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.