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).
ASPN’s FA Score shows that 0 FA rating(s) are green whileSFM’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.
ASPN’s TA Score shows that 5 TA indicator(s) are bullish while SFM’s TA Score has 3 bullish TA indicator(s).
ASPN (@Building Products) experienced а -7.81% price change this week, while SFM (@Food Retail) price change was +3.63% for the same time period.
The average weekly price growth across all stocks in the @Building Products industry was -0.62%. For the same industry, the average monthly price growth was +5.61%, and the average quarterly price growth was +3.73%.
The average weekly price growth across all stocks in the @Food Retail industry was -0.91%. For the same industry, the average monthly price growth was -0.83%, and the average quarterly price growth was +5.56%.
ASPN is expected to report earnings on Oct 30, 2025.
SFM is expected to report earnings on Oct 29, 2025.
The industry manufactures products used in the construction of residential and commercial buildings. The process involves using materials and other products, and processing them to create finished items such as doors, windows, light fittings, floor coverings, climate control products and other building components and home improvement products. Masco Corporation, Allegion PLC and Lennox International Inc. are major manufacturers of such products.
@Food Retail (-0.91% 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.
ASPN | SFM | ASPN / SFM | |
Capitalization | 1.35B | 6.44B | 21% |
EBITDA | -25.17M | 621M | -4% |
Gain YTD | -45.370 | 29.574 | -153% |
P/E Ratio | N/A | 25.46 | - |
Revenue | 239M | 6.84B | 3% |
Total Cash | 140M | 202M | 69% |
Total Debt | 139M | 1.66B | 8% |
ASPN | SFM | ||
---|---|---|---|
OUTLOOK RATING 1..100 | 8 | 27 | |
VALUATION overvalued / fair valued / undervalued 1..100 | 63 Fair valued | 50 Fair valued | |
PROFIT vs RISK RATING 1..100 | 100 | 7 | |
SMR RATING 1..100 | 98 | 100 | |
PRICE GROWTH RATING 1..100 | 63 | 43 | |
P/E GROWTH RATING 1..100 | 100 | 100 | |
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.
SFM's Valuation (50) in the Food Retail industry is in the same range as ASPN (63) in the Building Products industry. This means that SFM’s stock grew similarly to ASPN’s over the last 12 months.
SFM's Profit vs Risk Rating (7) in the Food Retail industry is significantly better than the same rating for ASPN (100) in the Building Products industry. This means that SFM’s stock grew significantly faster than ASPN’s over the last 12 months.
ASPN's SMR Rating (98) in the Building Products industry is in the same range as SFM (100) in the Food Retail industry. This means that ASPN’s stock grew similarly to SFM’s over the last 12 months.
SFM's Price Growth Rating (43) in the Food Retail industry is in the same range as ASPN (63) in the Building Products industry. This means that SFM’s stock grew similarly to ASPN’s over the last 12 months.
SFM's P/E Growth Rating (100) in the Food Retail industry is in the same range as ASPN (100) in the Building Products industry. This means that SFM’s stock grew similarly to ASPN’s over the last 12 months.
ASPN | SFM | |
---|---|---|
RSI ODDS (%) | N/A | N/A |
Stochastic ODDS (%) | 2 days ago88% | 1 day ago54% |
Momentum ODDS (%) | 2 days ago84% | 1 day ago82% |
MACD ODDS (%) | 2 days ago88% | 1 day ago83% |
TrendWeek ODDS (%) | 2 days ago86% | 1 day ago79% |
TrendMonth ODDS (%) | 2 days ago86% | 1 day ago78% |
Advances ODDS (%) | 13 days ago85% | 1 day ago77% |
Declines ODDS (%) | 2 days ago83% | 14 days ago53% |
BollingerBands ODDS (%) | 2 days ago79% | N/A |
Aroon ODDS (%) | 2 days ago83% | 1 day ago64% |
A.I.dvisor indicates that over the last year, ASPN has been loosely correlated with IR. These tickers have moved in lockstep 46% of the time. This A.I.-generated data suggests there is some statistical probability that if ASPN jumps, then IR could also see price increases.
Ticker / NAME | Correlation To ASPN | 1D Price Change % | ||
---|---|---|---|---|
ASPN | 100% | -1.22% | ||
IR - ASPN | 46% Loosely correlated | -1.53% | ||
BXC - ASPN | 40% Loosely correlated | -3.24% | ||
SPXC - ASPN | 38% Loosely correlated | -2.04% | ||
CARR - ASPN | 37% Loosely correlated | -1.61% | ||
CODYY - ASPN | 35% Loosely correlated | -1.50% | ||
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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% | +0.07% | ||
NGVC - SFM | 33% Loosely correlated | -2.81% | ||
KR - SFM | 30% Poorly correlated | -0.54% | ||
VLGEA - SFM | 25% Poorly correlated | -0.38% | ||
IMKTA - SFM | 21% Poorly correlated | -1.62% | ||
WMK - SFM | 19% Poorly correlated | -1.12% | ||
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