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).
BCC’s FA Score shows that 1 FA rating(s) are green whileTGLS’s FA Score has 2 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.
BCC’s TA Score shows that 3 TA indicator(s) are bullish while TGLS’s TA Score has 3 bullish TA indicator(s).
BCC (@Forest Products) experienced а +4.75% price change this week, while TGLS (@Construction Materials) price change was -1.65% for the same time period.
The average weekly price growth across all stocks in the @Forest Products industry was +1.75%. For the same industry, the average monthly price growth was +1.79%, and the average quarterly price growth was -0.48%.
The average weekly price growth across all stocks in the @Construction Materials industry was +0.43%. For the same industry, the average monthly price growth was +3.70%, and the average quarterly price growth was +21.16%.
BCC is expected to report earnings on Nov 03, 2025.
TGLS is expected to report earnings on Nov 10, 2025.
Forest products are materials derived from forestry for direct consumption or commercial use. Wood, for example, has variety or uses ranging from generating wood fuel (e.g. in the form of firewood or charcoal) to providing structural materials for the construction of buildings and home improvement, or in the form of wood pulp that is used in the paper production. . Pulp and paper industry, in particular, creates high volume demand for the wood materials including both softwood and hardwood. Major companies making such products include Trex Company, Inc. (manufacturer of wood-alternative decking and railings), Louisiana-Pacific Corporation (makes engineered wood building products) and Universal Forest Products, Inc. (manufactures and distributes wood and wood-alternative products, pressure-treated wood, and is a solid-sawn lumber buyer; makes products for use in home improvement and construction industries).
@Construction Materials (+0.43% weekly)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.
BCC | TGLS | BCC / TGLS | |
Capitalization | 3.21B | 3.44B | 93% |
EBITDA | 591M | N/A | - |
Gain YTD | -27.336 | -7.442 | 367% |
P/E Ratio | 12.61 | 18.80 | 67% |
Revenue | 6.62B | N/A | - |
Total Cash | 562M | 41.7M | 1,348% |
Total Debt | 514M | 109M | 472% |
BCC | TGLS | ||
---|---|---|---|
OUTLOOK RATING 1..100 | 58 | 10 | |
VALUATION overvalued / fair valued / undervalued 1..100 | 17 Undervalued | 19 Undervalued | |
PROFIT vs RISK RATING 1..100 | 53 | 10 | |
SMR RATING 1..100 | 57 | 35 | |
PRICE GROWTH RATING 1..100 | 63 | 50 | |
P/E GROWTH RATING 1..100 | 35 | 54 | |
SEASONALITY SCORE 1..100 | 65 | 65 |
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.
BCC's Valuation (17) in the Forest Products industry is in the same range as TGLS (19) in the Building Products industry. This means that BCC’s stock grew similarly to TGLS’s over the last 12 months.
TGLS's Profit vs Risk Rating (10) in the Building Products industry is somewhat better than the same rating for BCC (53) in the Forest Products industry. This means that TGLS’s stock grew somewhat faster than BCC’s over the last 12 months.
TGLS's SMR Rating (35) in the Building Products industry is in the same range as BCC (57) in the Forest Products industry. This means that TGLS’s stock grew similarly to BCC’s over the last 12 months.
TGLS's Price Growth Rating (50) in the Building Products industry is in the same range as BCC (63) in the Forest Products industry. This means that TGLS’s stock grew similarly to BCC’s over the last 12 months.
BCC's P/E Growth Rating (35) in the Forest Products industry is in the same range as TGLS (54) in the Building Products industry. This means that BCC’s stock grew similarly to TGLS’s over the last 12 months.
BCC | TGLS | |
---|---|---|
RSI ODDS (%) | N/A | N/A |
Stochastic ODDS (%) | 3 days ago62% | 3 days ago66% |
Momentum ODDS (%) | 3 days ago69% | 3 days ago72% |
MACD ODDS (%) | 3 days ago78% | 3 days ago89% |
TrendWeek ODDS (%) | 3 days ago76% | 3 days ago72% |
TrendMonth ODDS (%) | 3 days ago69% | 3 days ago73% |
Advances ODDS (%) | 5 days ago78% | 5 days ago84% |
Declines ODDS (%) | 3 days ago73% | 3 days ago73% |
BollingerBands ODDS (%) | N/A | 3 days ago74% |
Aroon ODDS (%) | 3 days ago71% | 3 days ago83% |
A.I.dvisor indicates that over the last year, BCC has been closely correlated with UFPI. These tickers have moved in lockstep 78% of the time. This A.I.-generated data suggests there is a high statistical probability that if BCC jumps, then UFPI could also see price increases.
A.I.dvisor indicates that over the last year, TGLS has been loosely correlated with CRH. These tickers have moved in lockstep 60% of the time. This A.I.-generated data suggests there is some statistical probability that if TGLS jumps, then CRH could also see price increases.
Ticker / NAME | Correlation To TGLS | 1D Price Change % | ||
---|---|---|---|---|
TGLS | 100% | -7.52% | ||
CRH - TGLS | 60% Loosely correlated | -0.81% | ||
BCC - TGLS | 55% Loosely correlated | -0.73% | ||
EXP - TGLS | 54% Loosely correlated | -0.58% | ||
KNF - TGLS | 53% Loosely correlated | -1.11% | ||
VMC - TGLS | 47% Loosely correlated | -0.50% | ||
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