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GFF vs MEC
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 GFF is a StrongBuy and MEC is a Buy.
| GFF | MEC | GFF / MEC | |
| Capitalization | 4.35B | 487M | 893% |
| EBITDA | 520M | 31.5M | 1,651% |
| Gain YTD | 31.341 | 2.030 | 1,544% |
| P/E Ratio | 20.05 | 33.07 | 61% |
| Revenue | 2.56B | 586M | 437% |
| Total Cash | 110M | 2.2M | 4,993% |
| Total Debt | 1.34B | 155M | 863% |
GFF | MEC | ||
|---|---|---|---|
OUTLOOK RATING 1..100 | 70 | 16 | |
VALUATION overvalued / fair valued / undervalued 1..100 | 92 Overvalued | 58 Fair valued | |
PROFIT vs RISK RATING 1..100 | 10 | 89 | |
SMR RATING 1..100 | 11 | 92 | |
PRICE GROWTH RATING 1..100 | 47 | 63 | |
P/E GROWTH RATING 1..100 | 97 | 5 | |
SEASONALITY SCORE 1..100 | 50 | 50 |
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.
MEC's Valuation (58) in the Industrial Machinery industry is somewhat better than the same rating for GFF (92) in the Building Products industry. This means that MEC’s stock grew somewhat faster than GFF’s over the last 12 months.
GFF's Profit vs Risk Rating (10) in the Building Products industry is significantly better than the same rating for MEC (89) in the Industrial Machinery industry. This means that GFF’s stock grew significantly faster than MEC’s over the last 12 months.
GFF's SMR Rating (11) in the Building Products industry is significantly better than the same rating for MEC (92) in the Industrial Machinery industry. This means that GFF’s stock grew significantly faster than MEC’s over the last 12 months.
GFF's Price Growth Rating (47) in the Building Products industry is in the same range as MEC (63) in the Industrial Machinery industry. This means that GFF’s stock grew similarly to MEC’s over the last 12 months.
MEC's P/E Growth Rating (5) in the Industrial Machinery industry is significantly better than the same rating for GFF (97) in the Building Products industry. This means that MEC’s stock grew significantly faster than GFF’s over the last 12 months.
| GFF | MEC | |
|---|---|---|
| RSI ODDS (%) | 2 days ago 67% | 2 days ago 81% |
| Stochastic ODDS (%) | 2 days ago 76% | 2 days ago 86% |
| Momentum ODDS (%) | 2 days ago 68% | N/A |
| MACD ODDS (%) | 2 days ago 65% | 2 days ago 87% |
| TrendWeek ODDS (%) | 2 days ago 61% | 2 days ago 79% |
| TrendMonth ODDS (%) | 2 days ago 58% | 2 days ago 81% |
| Advances ODDS (%) | 9 days ago 75% | 5 days ago 74% |
| Declines ODDS (%) | 12 days ago 61% | 3 days ago 80% |
| BollingerBands ODDS (%) | 2 days ago 78% | 2 days ago 75% |
| Aroon ODDS (%) | N/A | 2 days ago 76% |
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 overvalued. We use an FA Score to show how many ratings show the ticker to be undervalued (green) or overvalued (red).
GFF’s FA Score shows that 2 FA rating(s) are green while MEC’s FA Score has 1 green FA rating(s).
- GFF’s FA Score: 2 green, 3 red.
- MEC’s FA Score: 1 green, 4 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.
GFF’s TA Score shows that 4 TA indicator(s) are bullish while MEC’s TA Score has 5 bullish TA indicator(s).
- GFF’s TA Score: 4 bullish, 4 bearish.
- MEC’s TA Score: 5 bullish, 2 bearish.
Price Growth
GFF (@Building Products) experienced а -3.66% price change this week, while MEC (@Metal Fabrication) price change was -2.85% for the same time period.
The average weekly price growth across all stocks in the @Building Products industry was -3.77%. For the same industry, the average monthly price growth was -4.83%, and the average quarterly price growth was +11.17%.
The average weekly price growth across all stocks in the @Metal Fabrication industry was -2.69%. For the same industry, the average monthly price growth was -11.92%, and the average quarterly price growth was +7.37%.
Reported Earning Dates
GFF is expected to report earnings on Nov 12, 2026.
MEC is expected to report earnings on Nov 03, 2026.
Industries' Descriptions
@Building Products (-3.77% weekly)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.
@Metal Fabrication (-2.69% weekly)The industry is involved in value-added processes including creation of metal structures like machines and parts by cutting, bending and assembling, using various raw materials. A fabrication shop often bids on a project/job, and then builds the product if awarded the contract. Robotics and automation are making their way into the industry apparently to fill in skills gap[s19] . RBC Bearings Incorporated, Timken Company and Valmont Industries, Inc. are some of the largest metal fabrication companies in the U.S.
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GFF and
Correlation & Price change
A.I.dvisor indicates that over the last year, GFF has been closely correlated with OC. These tickers have moved in lockstep 69% of the time. This A.I.-generated data suggests there is a high statistical probability that if GFF jumps, then OC could also see price increases.
MEC and
Correlation & Price change
A.I.dvisor indicates that over the last year, MEC has been loosely correlated with ESAB. These tickers have moved in lockstep 36% of the time. This A.I.-generated data suggests there is some statistical probability that if MEC jumps, then ESAB could also see price increases.