NET vs XYZ
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 NET is a Buy and XYZ is a StrongBuy.
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).
NET’s FA Score shows that 0 FA rating(s) are green whileXYZ’s FA Score has 0 green FA rating(s).
- NET’s FA Score: 0 green, 5 red.
- XYZ’s FA Score: 0 green, 5 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.
NET’s TA Score shows that 6 TA indicator(s) are bullish while XYZ’s TA Score has 6 bullish TA indicator(s).
- NET’s TA Score: 6 bullish, 4 bearish.
- XYZ’s TA Score: 6 bullish, 1 bearish.
Price Growth
NET (@Packaged Software) experienced а +26.93% price change this week, while XYZ (@Packaged Software) price change was +22.00% for the same time period.
The average weekly price growth across all stocks in the @Packaged Software industry was +3.56%. For the same industry, the average monthly price growth was +13.22%, and the average quarterly price growth was +35.47%.
Reported Earning Dates
NET is expected to report earnings on Jul 31, 2025.
XYZ is expected to report earnings on Jul 31, 2025.
Industries' Descriptions
@Packaged Software (+3.56% weekly)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.
| NET | XYZ | NET / XYZ | |
| Capitalization | 32.7B | 52.1B | 63% |
| EBITDA | -36.17M | 790M | -5% |
| Gain YTD | 43.471 | -31.168 | -139% |
| P/E Ratio | N/A | 4073.00 | - |
| Revenue | 1.3B | 21.9B | 6% |
| Total Cash | 1.67B | 9.02B | 19% |
| Total Debt | 1.44B | 6.07B | 24% |
XYZ | ||
|---|---|---|
OUTLOOK RATING 1..100 | 26 | |
VALUATION overvalued / fair valued / undervalued 1..100 | 92 Overvalued | |
PROFIT vs RISK RATING 1..100 | 100 | |
SMR RATING 1..100 | 56 | |
PRICE GROWTH RATING 1..100 | 64 | |
P/E GROWTH RATING 1..100 | 100 | |
SEASONALITY SCORE 1..100 | 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.
| NET | XYZ | |
|---|---|---|
| RSI ODDS (%) | 3 days ago 68% | 3 days ago 79% |
| Stochastic ODDS (%) | 3 days ago 70% | 3 days ago 77% |
| Momentum ODDS (%) | 3 days ago 80% | 3 days ago 80% |
| MACD ODDS (%) | 3 days ago 82% | 3 days ago 73% |
| TrendWeek ODDS (%) | 3 days ago 83% | 3 days ago 77% |
| TrendMonth ODDS (%) | 3 days ago 82% | 3 days ago 81% |
| Advances ODDS (%) | 3 days ago 84% | 3 days ago 77% |
| Declines ODDS (%) | 9 days ago 79% | N/A |
| BollingerBands ODDS (%) | 3 days ago 77% | 3 days ago 77% |
| Aroon ODDS (%) | 3 days ago 77% | 8 days ago 85% |
NET and
Correlation & Price change
A.I.dvisor indicates that over the last year, NET has been loosely correlated with NOW. These tickers have moved in lockstep 63% of the time. This A.I.-generated data suggests there is some statistical probability that if NET jumps, then NOW could also see price increases.
| Ticker / NAME | Correlation To NET | 1D Price Change % | ||
|---|---|---|---|---|
| NET | 100% | +2.75% | ||
| NOW - NET | 63% Loosely correlated | -0.95% | ||
| SNOW - NET | 62% Loosely correlated | +0.24% | ||
| DSGX - NET | 60% Loosely correlated | -1.33% | ||
| CRWD - NET | 60% Loosely correlated | -0.97% | ||
| HUBS - NET | 60% Loosely correlated | -0.33% | ||
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XYZ and
Correlation & Price change
A.I.dvisor indicates that over the last year, XYZ has been loosely correlated with DBX. These tickers have moved in lockstep 56% of the time. This A.I.-generated data suggests there is some statistical probability that if XYZ jumps, then DBX could also see price increases.
| Ticker / NAME | Correlation To XYZ | 1D Price Change % | ||
|---|---|---|---|---|
| XYZ | 100% | +0.57% | ||
| DBX - XYZ | 56% Loosely correlated | -0.30% | ||
| AFRM - XYZ | 54% Loosely correlated | +4.84% | ||
| GDDY - XYZ | 54% Loosely correlated | +0.32% | ||
| WK - XYZ | 51% Loosely correlated | +0.22% | ||
| NET - XYZ | 51% Loosely correlated | +2.75% | ||
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