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).
OTGLY’s FA Score shows that 0 FA rating(s) are green whileSGPYY’s FA Score has 2 green FA rating(s).
OTGLY (@Packaged Software) experienced а -3.26% price change this week, while SGPYY (@Packaged Software) price change was +1.81% for the same time period.
The average weekly price growth across all stocks in the @Packaged Software industry was -1.63%. For the same industry, the average monthly price growth was +1.59%, and the average quarterly price growth was +2.46%.
SGPYY is expected to report earnings on Nov 20, 2024.
Packaged software comprises multiple software programs bundled together and sold as a group. For example, Microsoft Office includes multiple applications such as Excel, Word, and PowerPoint. In some cases, buying a bundled product is cheaper than purchasing each item individually[s20] . Microsoft Corporation, Oracle Corp. and Adobe are some major American packaged software makers.
OTGLY | SGPYY | OTGLY / SGPYY | |
Capitalization | 4.08B | 12.3B | 33% |
EBITDA | 503M | 422M | 119% |
Gain YTD | 38.150 | -6.775 | -563% |
P/E Ratio | 46.08 | 46.30 | 100% |
Revenue | 911M | 2.1B | 43% |
Total Cash | N/A | N/A | - |
Total Debt | N/A | N/A | - |
SGPYY | ||
---|---|---|
OUTLOOK RATING 1..100 | 25 | |
VALUATION overvalued / fair valued / undervalued 1..100 | 14 Undervalued | |
PROFIT vs RISK RATING 1..100 | 22 | |
SMR RATING 1..100 | 71 | |
PRICE GROWTH RATING 1..100 | 53 | |
P/E GROWTH RATING 1..100 | 89 | |
SEASONALITY SCORE 1..100 | 3 |
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.
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A.I.dvisor tells us that OTGLY and MDB have been poorly correlated (+23% of the time) for the last year. This A.I.-generated data suggests there is low statistical probability that OTGLY and MDB's prices will move in lockstep.
Ticker / NAME | Correlation To OTGLY | 1D Price Change % | ||
---|---|---|---|---|
OTGLY | 100% | +2.46% | ||
MDB - OTGLY | 23% Poorly correlated | -3.09% | ||
SGPYY - OTGLY | 20% Poorly correlated | +0.22% | ||
OCLCF - OTGLY | 10% Poorly correlated | N/A | ||
PMCUF - OTGLY | 8% Poorly correlated | N/A | ||
OTGLF - OTGLY | 6% Poorly correlated | N/A | ||
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A.I.dvisor indicates that over the last year, SGPYY has been loosely correlated with SAPGF. These tickers have moved in lockstep 37% of the time. This A.I.-generated data suggests there is some statistical probability that if SGPYY jumps, then SAPGF could also see price increases.
Ticker / NAME | Correlation To SGPYY | 1D Price Change % | ||
---|---|---|---|---|
SGPYY | 100% | +0.22% | ||
SAPGF - SGPYY | 37% Loosely correlated | +2.14% | ||
CRM - SGPYY | 35% Loosely correlated | -2.95% | ||
DASTY - SGPYY | 31% Poorly correlated | +0.95% | ||
PATH - SGPYY | 27% Poorly correlated | -6.58% | ||
INXSF - SGPYY | 25% Poorly correlated | -1.07% | ||
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