Compare predictions LOMA vs SUM
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To compare these two companies we present long-term analysis, their fundamental ratings and make comparative short-term technical analysis which are presented below. The conclusion is LOMA is a Hold and SUM is a Sell.
Long-Term Analysis
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).
LOMA’s FA Score shows that 1 FA rating(s) are green whileSUM’s FA Score has 2 green FA rating(s).
- LOMA’s FA Score: 1 green, 4 red.
- SUM’s FA Score: 2 green, 3 red.
Short-Term Analysis
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.
LOMA’s TA Score shows that 5 TA indicator(s) are bullish while SUM’s TA Score has 5 bullish TA indicator(s).
- LOMA’s TA Score: 5 bullish, 3 bearish.
- SUM’s TA Score: 5 bullish, 5 bearish.
Price Growth
LOMA (@Construction Materials) experienced а +0.85% price change this week, while SUM (@Construction Materials) price change was +0.77% for the same time period.
The average weekly price growth across all stocks in the @Construction Materials industry was +0.85%. For the same industry, the average monthly price growth was +0.73%, and the average quarterly price growth was +21.76%.
Reported Earning Dates
LOMA is expected to report earnings on Aug 08, 2024.
SUM is expected to report earnings on Jul 31, 2024.
Industries' Descriptions
@Construction Materials (+0.85% 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.
| LOMA | SUM | LOMA / SUM | |
| Capitalization | 1.01B | 7.77B | 13% |
| EBITDA | 39.9B | 735M | 5,429% |
| Gain YTD | -0.141 | 2.002 | -7% |
| P/E Ratio | 20.19 | 18.04 | 112% |
| Revenue | 136B | 2.62B | 5,193% |
| Total Cash | 20.9B | 374M | 5,588% |
| Total Debt | 97.9B | 2.33B | 4,196% |
LOMA | SUM | ||
|---|---|---|---|
OUTLOOK RATING 1..100 | 73 | 63 | |
VALUATION overvalued / fair valued / undervalued 1..100 | 1 Undervalued | 82 Overvalued | |
PROFIT vs RISK RATING 1..100 | 64 | 21 | |
SMR RATING 1..100 | 44 | 62 | |
PRICE GROWTH RATING 1..100 | 43 | 50 | |
P/E GROWTH RATING 1..100 | 69 | 28 | |
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.
LOMA's Valuation (1) in the Construction Materials industry is significantly better than the same rating for SUM (82). This means that LOMA’s stock grew significantly faster than SUM’s over the last 12 months.
SUM's Profit vs Risk Rating (21) in the Construction Materials industry is somewhat better than the same rating for LOMA (64). This means that SUM’s stock grew somewhat faster than LOMA’s over the last 12 months.
LOMA's SMR Rating (44) in the Construction Materials industry is in the same range as SUM (62). This means that LOMA’s stock grew similarly to SUM’s over the last 12 months.
LOMA's Price Growth Rating (43) in the Construction Materials industry is in the same range as SUM (50). This means that LOMA’s stock grew similarly to SUM’s over the last 12 months.
SUM's P/E Growth Rating (28) in the Construction Materials industry is somewhat better than the same rating for LOMA (69). This means that SUM’s stock grew somewhat faster than LOMA’s over the last 12 months.
| LOMA | SUM | |
|---|---|---|
| RSI ODDS (%) | N/A | 1 day ago 90% |
| Stochastic ODDS (%) | 1 day ago 71% | 1 day ago 75% |
| Momentum ODDS (%) | 1 day ago 81% | 1 day ago 79% |
| MACD ODDS (%) | 1 day ago 86% | 1 day ago 71% |
| TrendWeek ODDS (%) | 1 day ago 81% | 1 day ago 78% |
| TrendMonth ODDS (%) | 1 day ago 76% | 1 day ago 69% |
| Advances ODDS (%) | 4 days ago 78% | 4 days ago 75% |
| Declines ODDS (%) | 1 day ago 68% | 14 days ago 67% |
| BollingerBands ODDS (%) | 1 day ago 78% | 1 day ago 76% |
| Aroon ODDS (%) | 1 day ago 84% | 1 day ago 72% |
LOMA and
Correlation & Price change
A.I.dvisor tells us that LOMA and TGLS have been poorly correlated (+29% of the time) for the last year. This A.I.-generated data suggests there is low statistical probability that LOMA and TGLS's prices will move in lockstep.
| Ticker / NAME | Correlation To LOMA | 1D Price Change % | ||
|---|---|---|---|---|
| LOMA | 100% | -0.84% | ||
| TGLS - LOMA | 29% Poorly correlated | -5.29% | ||
| BCC - LOMA | 28% Poorly correlated | -0.20% | ||
| SUM - LOMA | 27% Poorly correlated | +0.85% | ||
| EXP - LOMA | 26% Poorly correlated | +0.75% | ||
| JHX - LOMA | 26% Poorly correlated | +0.46% | ||
More | ||||
SUM and
Correlation & Price change
A.I.dvisor indicates that over the last year, SUM has been closely correlated with EXP. These tickers have moved in lockstep 69% of the time. This A.I.-generated data suggests there is a high statistical probability that if SUM jumps, then EXP could also see price increases.