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).
EXP’s FA Score shows that 4 FA rating(s) are green whileKNF’s FA Score has 0 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.
EXP’s TA Score shows that 4 TA indicator(s) are bullish while KNF’s TA Score has 3 bullish TA indicator(s).
EXP (@Construction Materials) experienced а -1.91% price change this week, while KNF (@Construction Materials) price change was -6.34% for the same time period.
The average weekly price growth across all stocks in the @Construction Materials industry was -2.29%. For the same industry, the average monthly price growth was +1.28%, and the average quarterly price growth was +2.74%.
EXP is expected to report earnings on Jan 23, 2025.
KNF is expected to report earnings on Nov 04, 2024.
Many naturally occurring substances, such as clay, rocks, sand, and wood, even twigs and leaves have been used in construction material. Many man-made products are also in use. Vulcan Materials Co., Martin Marietta Materials, Inc. and Owens Corning Inc. are examples of construction material companies in the U.S. Performance of companies that extract or produce construction materials could at times depend on demand for residential and commercial buildings/real estate, and therefore in some cases could feel impacted by economic cycles.
EXP | KNF | EXP / KNF | |
Capitalization | 9.3B | 4.59B | 203% |
EBITDA | 829M | 427M | 194% |
Gain YTD | 52.424 | 44.122 | 119% |
P/E Ratio | 19.03 | 24.50 | 78% |
Revenue | 2.25B | 2.83B | 80% |
Total Cash | 48.9M | 262M | 19% |
Total Debt | 1.06B | 726M | 146% |
EXP | ||
---|---|---|
OUTLOOK RATING 1..100 | 12 | |
VALUATION overvalued / fair valued / undervalued 1..100 | 20 Undervalued | |
PROFIT vs RISK RATING 1..100 | 5 | |
SMR RATING 1..100 | 28 | |
PRICE GROWTH RATING 1..100 | 40 | |
P/E GROWTH RATING 1..100 | 18 | |
SEASONALITY SCORE 1..100 | 75 |
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.
EXP | KNF | |
---|---|---|
RSI ODDS (%) | 3 days ago48% | 3 days ago57% |
Stochastic ODDS (%) | 3 days ago54% | 3 days ago50% |
Momentum ODDS (%) | 3 days ago80% | 3 days ago55% |
MACD ODDS (%) | 3 days ago66% | 3 days ago67% |
TrendWeek ODDS (%) | 3 days ago62% | 3 days ago49% |
TrendMonth ODDS (%) | 3 days ago79% | 3 days ago87% |
Advances ODDS (%) | 5 days ago73% | 8 days ago82% |
Declines ODDS (%) | 3 days ago59% | 3 days ago48% |
BollingerBands ODDS (%) | 3 days ago51% | 3 days ago67% |
Aroon ODDS (%) | 3 days ago78% | 3 days ago81% |
A.I.dvisor indicates that over the last year, EXP has been closely correlated with MLM. These tickers have moved in lockstep 75% of the time. This A.I.-generated data suggests there is a high statistical probability that if EXP jumps, then MLM could also see price increases.
A.I.dvisor indicates that over the last year, KNF has been closely correlated with SUM. These tickers have moved in lockstep 67% of the time. This A.I.-generated data suggests there is a high statistical probability that if KNF jumps, then SUM could also see price increases.