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SNOW vs TMSNY
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 SNOW is a Buy and TMSNY is a Hold.
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).
SNOW’s FA Score shows that 0 FA rating(s) are green whileTMSNY’s FA Score has 1 green FA rating(s).
- SNOW’s FA Score: 0 green, 5 red.
- TMSNY’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.
SNOW’s TA Score shows that 4 TA indicator(s) are bullish while TMSNY’s TA Score has 5 bullish TA indicator(s).
- SNOW’s TA Score: 4 bullish, 3 bearish.
- TMSNY’s TA Score: 5 bullish, 5 bearish.
Price Growth
SNOW (@Packaged Software) experienced а +14.11% price change this week, while TMSNY (@Packaged Software) price change was -0.48% for the same time period.
The average weekly price growth across all stocks in the @Packaged Software industry was +2.13%. For the same industry, the average monthly price growth was +8.59%, and the average quarterly price growth was +26.25%.
Reported Earning Dates
SNOW is expected to report earnings on Aug 20, 2025.
Industries' Descriptions
@Packaged Software (+2.13% 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.
| SNOW | TMSNY | SNOW / TMSNY | |
| Capitalization | 53.6B | 6.18B | 868% |
| EBITDA | -974.87M | 311M | -313% |
| Gain YTD | 32.375 | 8.925 | 363% |
| P/E Ratio | N/A | 52.36 | - |
| Revenue | 2.81B | 955M | 294% |
| Total Cash | 3.85B | 112M | 3,434% |
| Total Debt | 288M | 841M | 34% |
SNOW | TMSNY | ||
|---|---|---|---|
OUTLOOK RATING 1..100 | 27 | 66 | |
VALUATION overvalued / fair valued / undervalued 1..100 | 90 Overvalued | 10 Undervalued | |
PROFIT vs RISK RATING 1..100 | 55 | 100 | |
SMR RATING 1..100 | 96 | 40 | |
PRICE GROWTH RATING 1..100 | 38 | 46 | |
P/E GROWTH RATING 1..100 | 100 | 66 | |
SEASONALITY SCORE 1..100 | n/a | 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.
TMSNY's Valuation (10) in the null industry is significantly better than the same rating for SNOW (90) in the Other Consumer Services industry. This means that TMSNY’s stock grew significantly faster than SNOW’s over the last 12 months.
SNOW's Profit vs Risk Rating (55) in the Other Consumer Services industry is somewhat better than the same rating for TMSNY (100) in the null industry. This means that SNOW’s stock grew somewhat faster than TMSNY’s over the last 12 months.
TMSNY's SMR Rating (40) in the null industry is somewhat better than the same rating for SNOW (96) in the Other Consumer Services industry. This means that TMSNY’s stock grew somewhat faster than SNOW’s over the last 12 months.
SNOW's Price Growth Rating (38) in the Other Consumer Services industry is in the same range as TMSNY (46) in the null industry. This means that SNOW’s stock grew similarly to TMSNY’s over the last 12 months.
TMSNY's P/E Growth Rating (66) in the null industry is somewhat better than the same rating for SNOW (100) in the Other Consumer Services industry. This means that TMSNY’s stock grew somewhat faster than SNOW’s over the last 12 months.
| SNOW | TMSNY | |
|---|---|---|
| RSI ODDS (%) | 13 days ago 85% | 13 days ago 72% |
| Stochastic ODDS (%) | 13 days ago 83% | 13 days ago 68% |
| Momentum ODDS (%) | N/A | 13 days ago 65% |
| MACD ODDS (%) | N/A | 13 days ago 64% |
| TrendWeek ODDS (%) | 13 days ago 78% | 13 days ago 70% |
| TrendMonth ODDS (%) | 13 days ago 75% | 13 days ago 62% |
| Advances ODDS (%) | 14 days ago 77% | 14 days ago 67% |
| Declines ODDS (%) | N/A | 19 days ago 73% |
| BollingerBands ODDS (%) | 13 days ago 83% | 13 days ago 63% |
| Aroon ODDS (%) | 13 days ago 73% | 13 days ago 59% |
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SNOW and
Correlation & Price change
A.I.dvisor indicates that over the last year, SNOW has been loosely correlated with MDB. These tickers have moved in lockstep 66% of the time. This A.I.-generated data suggests there is some statistical probability that if SNOW jumps, then MDB could also see price increases.
| Ticker / NAME | Correlation To SNOW | 1D Price Change % | ||
|---|---|---|---|---|
| SNOW | 100% | -0.95% | ||
| MDB - SNOW | 66% Loosely correlated | -0.26% | ||
| NET - SNOW | 61% Loosely correlated | +0.14% | ||
| DDOG - SNOW | 58% Loosely correlated | -1.11% | ||
| GTLB - SNOW | 54% Loosely correlated | -3.65% | ||
| BRZE - SNOW | 53% Loosely correlated | +0.50% | ||
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TMSNY and
Correlation & Price change
A.I.dvisor indicates that over the last year, TMSNY has been loosely correlated with DAVA. These tickers have moved in lockstep 56% of the time. This A.I.-generated data suggests there is some statistical probability that if TMSNY jumps, then DAVA could also see price increases.
| Ticker / NAME | Correlation To TMSNY | 1D Price Change % | ||
|---|---|---|---|---|
| TMSNY | 100% | -1.58% | ||
| DAVA - TMSNY | 56% Loosely correlated | -1.79% | ||
| SNOW - TMSNY | 41% Loosely correlated | -0.95% | ||
| LPSN - TMSNY | 40% Loosely correlated | -2.31% | ||
| EVTC - TMSNY | 37% Loosely correlated | -1.44% | ||
| EB - TMSNY | 36% Loosely correlated | +0.42% | ||
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