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).
KNF’s FA Score shows that 0 FA rating(s) are green whileSDCVF’s FA Score has 3 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.
KNF’s TA Score shows that 5 TA indicator(s) are bullish while SDCVF’s TA Score has 1 bullish TA indicator(s).
KNF (@Construction Materials) experienced а -0.82% price change this week, while SDCVF (@Construction Materials) price change was 0.00% for the same time period.
The average weekly price growth across all stocks in the @Construction Materials industry was +0.33%. For the same industry, the average monthly price growth was +1.78%, and the average quarterly price growth was +9.99%.
KNF is expected to report earnings on Feb 12, 2026.
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.
| KNF | SDCVF | KNF / SDCVF | |
| Capitalization | 4.33B | 3.67B | 118% |
| EBITDA | 429M | 809M | 53% |
| Gain YTD | -27.179 | 102.384 | -27% |
| P/E Ratio | 29.30 | 11.10 | 264% |
| Revenue | 2.95B | 3.83B | 77% |
| Total Cash | 26.6M | 529M | 5% |
| Total Debt | 1.4B | 1.91B | 73% |
| KNF | SDCVF | |
|---|---|---|
| RSI ODDS (%) | 7 days ago 53% | N/A |
| Stochastic ODDS (%) | 7 days ago 71% | 7 days ago 28% |
| Momentum ODDS (%) | 7 days ago 78% | N/A |
| MACD ODDS (%) | 7 days ago 88% | 7 days ago 14% |
| TrendWeek ODDS (%) | 7 days ago 75% | 7 days ago 25% |
| TrendMonth ODDS (%) | 7 days ago 78% | 7 days ago 26% |
| Advances ODDS (%) | 10 days ago 76% | N/A |
| Declines ODDS (%) | 18 days ago 65% | N/A |
| BollingerBands ODDS (%) | 7 days ago 68% | N/A |
| Aroon ODDS (%) | 7 days ago 73% | 7 days ago 9% |
A.I.dvisor indicates that over the last year, KNF has been loosely correlated with VMC. These tickers have moved in lockstep 63% of the time. This A.I.-generated data suggests there is some statistical probability that if KNF jumps, then VMC could also see price increases.
A.I.dvisor tells us that SDCVF and CMTOY have been poorly correlated (+21% of the time) for the last year. This A.I.-generated data suggests there is low statistical probability that SDCVF and CMTOY's prices will move in lockstep.
| Ticker / NAME | Correlation To SDCVF | 1D Price Change % | ||
|---|---|---|---|---|
| SDCVF | 100% | N/A | ||
| CMTOY - SDCVF | 21% Poorly correlated | N/A | ||
| CXMSF - SDCVF | 3% Poorly correlated | N/A | ||
| XYIGF - SDCVF | 3% Poorly correlated | N/A | ||
| KNF - SDCVF | 1% Poorly correlated | +0.28% | ||
| XYIGY - SDCVF | 1% Poorly correlated | N/A | ||
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