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).
GMS’s FA Score shows that 2 FA rating(s) are green whileOFG’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.
GMS’s TA Score shows that 3 TA indicator(s) are bullish while OFG’s TA Score has 6 bullish TA indicator(s).
GMS (@Building Products) experienced а +0.11% price change this week, while OFG (@Regional Banks) price change was -0.85% for the same time period.
The average weekly price growth across all stocks in the @Building Products industry was -1.24%. For the same industry, the average monthly price growth was +0.78%, and the average quarterly price growth was +12.63%.
The average weekly price growth across all stocks in the @Regional Banks industry was +0.13%. For the same industry, the average monthly price growth was +4.98%, and the average quarterly price growth was +12.87%.
GMS is expected to report earnings on Dec 04, 2025.
OFG is expected to report earnings on Oct 15, 2025.
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.
@Regional Banks (+0.13% weekly)Regional banks have a smaller reach than major banks, and cater mostly to one region of a country, such as a state or within a group of states. They offer services often similar – albeit with some limitations/smaller scale – compared to major banks. Taking deposits, making loans, mortgages, leases, credit cards , fund management, insurance and investment banking. SunTrust Banks, State Street Corp., M&T Bank Corp. are some examples of U.S. regional banks.
GMS | OFG | GMS / OFG | |
Capitalization | 4.2B | 1.98B | 212% |
EBITDA | 428M | N/A | - |
Gain YTD | 29.636 | 6.636 | 447% |
P/E Ratio | 41.81 | 10.47 | 399% |
Revenue | 5.51B | 667M | 827% |
Total Cash | 55.6M | 228M | 24% |
Total Debt | 1.6B | 476M | 336% |
GMS | OFG | ||
---|---|---|---|
OUTLOOK RATING 1..100 | 19 | 65 | |
VALUATION overvalued / fair valued / undervalued 1..100 | 72 Overvalued | 39 Fair valued | |
PROFIT vs RISK RATING 1..100 | 17 | 10 | |
SMR RATING 1..100 | 76 | 15 | |
PRICE GROWTH RATING 1..100 | 41 | 51 | |
P/E GROWTH RATING 1..100 | 6 | 57 | |
SEASONALITY SCORE 1..100 | 42 | 12 |
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.
OFG's Valuation (39) in the Major Banks industry is somewhat better than the same rating for GMS (72) in the Wholesale Distributors industry. This means that OFG’s stock grew somewhat faster than GMS’s over the last 12 months.
OFG's Profit vs Risk Rating (10) in the Major Banks industry is in the same range as GMS (17) in the Wholesale Distributors industry. This means that OFG’s stock grew similarly to GMS’s over the last 12 months.
OFG's SMR Rating (15) in the Major Banks industry is somewhat better than the same rating for GMS (76) in the Wholesale Distributors industry. This means that OFG’s stock grew somewhat faster than GMS’s over the last 12 months.
GMS's Price Growth Rating (41) in the Wholesale Distributors industry is in the same range as OFG (51) in the Major Banks industry. This means that GMS’s stock grew similarly to OFG’s over the last 12 months.
GMS's P/E Growth Rating (6) in the Wholesale Distributors industry is somewhat better than the same rating for OFG (57) in the Major Banks industry. This means that GMS’s stock grew somewhat faster than OFG’s over the last 12 months.
GMS | OFG | |
---|---|---|
RSI ODDS (%) | 2 days ago71% | N/A |
Stochastic ODDS (%) | 2 days ago65% | 2 days ago64% |
Momentum ODDS (%) | 2 days ago70% | 2 days ago72% |
MACD ODDS (%) | N/A | 2 days ago65% |
TrendWeek ODDS (%) | 2 days ago74% | 2 days ago60% |
TrendMonth ODDS (%) | 2 days ago75% | 2 days ago64% |
Advances ODDS (%) | 2 days ago76% | 22 days ago66% |
Declines ODDS (%) | 27 days ago68% | 2 days ago57% |
BollingerBands ODDS (%) | 2 days ago69% | 2 days ago65% |
Aroon ODDS (%) | 2 days ago71% | 2 days ago59% |
1 Day | |||
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A.I.dvisor indicates that over the last year, GMS has been closely correlated with BXC. These tickers have moved in lockstep 69% of the time. This A.I.-generated data suggests there is a high statistical probability that if GMS jumps, then BXC could also see price increases.
Ticker / NAME | Correlation To GMS | 1D Price Change % | ||
---|---|---|---|---|
GMS | 100% | +0.04% | ||
BXC - GMS | 69% Closely correlated | +0.18% | ||
IR - GMS | 63% Loosely correlated | -1.88% | ||
BLDR - GMS | 51% Loosely correlated | -0.95% | ||
CODYY - GMS | 48% Loosely correlated | -1.87% | ||
OC - GMS | 47% Loosely correlated | -0.47% | ||
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A.I.dvisor indicates that over the last year, OFG has been closely correlated with HWC. These tickers have moved in lockstep 85% of the time. This A.I.-generated data suggests there is a high statistical probability that if OFG jumps, then HWC could also see price increases.
Ticker / NAME | Correlation To OFG | 1D Price Change % | ||
---|---|---|---|---|
OFG | 100% | -0.60% | ||
HWC - OFG | 85% Closely correlated | -1.05% | ||
FULT - OFG | 84% Closely correlated | -1.12% | ||
UCB - OFG | 83% Closely correlated | -0.90% | ||
HOMB - OFG | 83% Closely correlated | -0.87% | ||
FNB - OFG | 83% Closely correlated | -1.09% | ||
More |