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GO vs SFM
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 GO is a StrongBuy and SFM 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).
GO’s FA Score shows that 1 FA rating(s) are green whileSFM’s FA Score has 1 green FA rating(s).
- GO’s FA Score: 1 green, 4 red.
- SFM’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.
GO’s TA Score shows that 4 TA indicator(s) are bullish while SFM’s TA Score has 7 bullish TA indicator(s).
- GO’s TA Score: 4 bullish, 4 bearish.
- SFM’s TA Score: 7 bullish, 3 bearish.
Price Growth
GO (@Food Retail) experienced а +11.92% price change this week, while SFM (@Food Retail) price change was +4.18% for the same time period.
The average weekly price growth across all stocks in the @Food Retail industry was +1.22%. For the same industry, the average monthly price growth was +4.44%, and the average quarterly price growth was +1.67%.
Reported Earning Dates
GO is expected to report earnings on Aug 11, 2026.
SFM is expected to report earnings on Aug 05, 2026.
Industries' Descriptions
@Food Retail (+1.22% weekly)The food retail industry includes companies that sell food, beverage and household products. Items sold include grocery, gourmet food, fresh produce, and frozen food. Kroger Co., George Weston Ltd., Grocery Outlet Holding Corp., and Sprouts Farmers Markets, Inc. are examples of major food retailers. While e-commerce companies like Amazon have increasingly been ramping-up offerings in the food retail space, several traditional players have also been expanding their online presence to stand their ground against rising competition.
| GO | SFM | GO / SFM | |
| Capitalization | 948M | 8.12B | 12% |
| EBITDA | -241.69M | 994M | -24% |
| Gain YTD | -5.149 | 8.359 | -62% |
| P/E Ratio | 177.13 | 16.57 | 1,069% |
| Revenue | 4.73B | 8.9B | 53% |
| Total Cash | 59M | 252M | 23% |
| Total Debt | 1.84B | 2.06B | 89% |
GO | SFM | ||
|---|---|---|---|
OUTLOOK RATING 1..100 | 8 | 26 | |
VALUATION overvalued / fair valued / undervalued 1..100 | 75 Overvalued | 81 Overvalued | |
PROFIT vs RISK RATING 1..100 | 100 | 68 | |
SMR RATING 1..100 | 99 | 25 | |
PRICE GROWTH RATING 1..100 | 43 | 60 | |
P/E GROWTH RATING 1..100 | 2 | 94 | |
SEASONALITY SCORE 1..100 | 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.
GO's Valuation (75) in the null industry is in the same range as SFM (81) in the Food Retail industry. This means that GO’s stock grew similarly to SFM’s over the last 12 months.
SFM's Profit vs Risk Rating (68) in the Food Retail industry is in the same range as GO (100) in the null industry. This means that SFM’s stock grew similarly to GO’s over the last 12 months.
SFM's SMR Rating (25) in the Food Retail industry is significantly better than the same rating for GO (99) in the null industry. This means that SFM’s stock grew significantly faster than GO’s over the last 12 months.
GO's Price Growth Rating (43) in the null industry is in the same range as SFM (60) in the Food Retail industry. This means that GO’s stock grew similarly to SFM’s over the last 12 months.
GO's P/E Growth Rating (2) in the null industry is significantly better than the same rating for SFM (94) in the Food Retail industry. This means that GO’s stock grew significantly faster than SFM’s over the last 12 months.
| GO | SFM | |
|---|---|---|
| RSI ODDS (%) | 3 days ago 70% | 3 days ago 51% |
| Stochastic ODDS (%) | 3 days ago 73% | 3 days ago 61% |
| Momentum ODDS (%) | 3 days ago 62% | 3 days ago 78% |
| MACD ODDS (%) | 3 days ago 74% | 3 days ago 74% |
| TrendWeek ODDS (%) | 3 days ago 66% | 3 days ago 78% |
| TrendMonth ODDS (%) | 3 days ago 68% | 3 days ago 64% |
| Advances ODDS (%) | 3 days ago 59% | 4 days ago 76% |
| Declines ODDS (%) | 14 days ago 78% | 13 days ago 61% |
| BollingerBands ODDS (%) | 3 days ago 67% | 3 days ago 89% |
| Aroon ODDS (%) | 3 days ago 58% | 3 days ago 73% |
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GO and
Correlation & Price change
A.I.dvisor indicates that over the last year, GO has been loosely correlated with WMK. These tickers have moved in lockstep 44% of the time. This A.I.-generated data suggests there is some statistical probability that if GO jumps, then WMK could also see price increases.
| Ticker / NAME | Correlation To GO | 1D Price Change % | ||
|---|---|---|---|---|
| GO | 100% | +1.70% | ||
| WMK - GO | 44% Loosely correlated | +0.11% | ||
| IMKTA - GO | 44% Loosely correlated | -1.12% | ||
| VLGEA - GO | 29% Poorly correlated | +0.56% | ||
| DNUT - GO | 24% Poorly correlated | +2.62% | ||
| NGVC - GO | 22% Poorly correlated | +0.73% | ||
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SFM and
Correlation & Price change
A.I.dvisor indicates that over the last year, SFM has been loosely correlated with NGVC. These tickers have moved in lockstep 43% of the time. This A.I.-generated data suggests there is some statistical probability that if SFM jumps, then NGVC could also see price increases.
| Ticker / NAME | Correlation To SFM | 1D Price Change % | ||
|---|---|---|---|---|
| SFM | 100% | -2.03% | ||
| NGVC - SFM | 43% Loosely correlated | +0.73% | ||
| ACI - SFM | 36% Loosely correlated | +0.13% | ||
| IMKTA - SFM | 23% Poorly correlated | -1.12% | ||
| KR - SFM | 21% Poorly correlated | +0.92% | ||
| GO - SFM | 21% Poorly correlated | +1.70% | ||
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