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).
SFM’s FA Score shows that 3 FA rating(s) are green while.
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.
MATW’s TA Score shows that 6 TA indicator(s) are bullish while SFM’s TA Score has 5 bullish TA indicator(s).
SFM (@Food Retail) experienced а +5.77% price change this weekfor the same time period.
The average weekly price growth across all stocks in the @Food Retail industry was +0.75%. For the same industry, the average monthly price growth was +0.77%, and the average quarterly price growth was +3.19%.
SFM is expected to report earnings on Jul 30, 2025.
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.
MATW | SFM | MATW / SFM | |
Capitalization | 954M | 6.44B | 15% |
EBITDA | 175M | 621M | 28% |
Gain YTD | -20.800 | 36.035 | -58% |
P/E Ratio | 27.91 | 25.46 | 110% |
Revenue | 1.88B | 6.84B | 28% |
Total Cash | 37.9M | 202M | 19% |
Total Debt | 931M | 1.66B | 56% |
MATW | SFM | ||
---|---|---|---|
OUTLOOK RATING 1..100 | 25 | 50 | |
VALUATION overvalued / fair valued / undervalued 1..100 | 28 Undervalued | 91 Overvalued | |
PROFIT vs RISK RATING 1..100 | 89 | 6 | |
SMR RATING 1..100 | 92 | 28 | |
PRICE GROWTH RATING 1..100 | 62 | 39 | |
P/E GROWTH RATING 1..100 | 40 | 16 | |
SEASONALITY SCORE 1..100 | n/a | 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.
MATW's Valuation (28) in the Other Consumer Specialties industry is somewhat better than the same rating for SFM (91) in the Food Retail industry. This means that MATW’s stock grew somewhat faster than SFM’s over the last 12 months.
SFM's Profit vs Risk Rating (6) in the Food Retail industry is significantly better than the same rating for MATW (89) in the Other Consumer Specialties industry. This means that SFM’s stock grew significantly faster than MATW’s over the last 12 months.
SFM's SMR Rating (28) in the Food Retail industry is somewhat better than the same rating for MATW (92) in the Other Consumer Specialties industry. This means that SFM’s stock grew somewhat faster than MATW’s over the last 12 months.
SFM's Price Growth Rating (39) in the Food Retail industry is in the same range as MATW (62) in the Other Consumer Specialties industry. This means that SFM’s stock grew similarly to MATW’s over the last 12 months.
SFM's P/E Growth Rating (16) in the Food Retail industry is in the same range as MATW (40) in the Other Consumer Specialties industry. This means that SFM’s stock grew similarly to MATW’s over the last 12 months.
MATW | SFM | |
---|---|---|
RSI ODDS (%) | N/A | 4 days ago57% |
Stochastic ODDS (%) | 4 days ago70% | 4 days ago63% |
Momentum ODDS (%) | 4 days ago63% | 4 days ago76% |
MACD ODDS (%) | 4 days ago59% | 4 days ago80% |
TrendWeek ODDS (%) | 4 days ago65% | 4 days ago79% |
TrendMonth ODDS (%) | 4 days ago69% | 4 days ago77% |
Advances ODDS (%) | 5 days ago64% | 6 days ago77% |
Declines ODDS (%) | 28 days ago75% | 12 days ago53% |
BollingerBands ODDS (%) | N/A | 4 days ago83% |
Aroon ODDS (%) | 4 days ago74% | 4 days ago72% |
1 Day | |||
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A.I.dvisor indicates that over the last year, MATW has been loosely correlated with NWPX. These tickers have moved in lockstep 49% of the time. This A.I.-generated data suggests there is some statistical probability that if MATW jumps, then NWPX could also see price increases.
Ticker / NAME | Correlation To MATW | 1D Price Change % | ||
---|---|---|---|---|
MATW | 100% | -2.19% | ||
NWPX - MATW | 49% Loosely correlated | -1.85% | ||
CODI - MATW | 48% Loosely correlated | -1.03% | ||
IIIN - MATW | 48% Loosely correlated | -0.99% | ||
HON - MATW | 45% Loosely correlated | +0.66% | ||
MDU - MATW | 43% Loosely correlated | +0.35% | ||
More |
A.I.dvisor indicates that over the last year, SFM has been loosely correlated with NGVC. These tickers have moved in lockstep 33% 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% | +3.24% | ||
NGVC - SFM | 33% Loosely correlated | +2.45% | ||
KR - SFM | 30% Poorly correlated | +1.91% | ||
VLGEA - SFM | 25% Poorly correlated | -1.08% | ||
IMKTA - SFM | 21% Poorly correlated | -1.28% | ||
WMK - SFM | 17% Poorly correlated | -3.12% | ||
More |