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).
SGIOY’s FA Score shows that 2 FA rating(s) are green whileSUPN’s FA Score has 0 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.
SGIOY’s TA Score shows that 4 TA indicator(s) are bullish while SUPN’s TA Score has 3 bullish TA indicator(s).
SGIOY (@Pharmaceuticals: Other) experienced а -2.66% price change this week, while SUPN (@Pharmaceuticals: Other) price change was -1.42% for the same time period.
The average weekly price growth across all stocks in the @Pharmaceuticals: Other industry was +0.61%. For the same industry, the average monthly price growth was +1.68%, and the average quarterly price growth was -9.09%.
SGIOY is expected to report earnings on Jan 31, 2025.
SUPN is expected to report earnings on Mar 04, 2025.
Pharmaceuticals (Other) comprise companies that are involved in the discovery, development or manufacturing of therapeutic and preventative medicines. They often collaborate with or acquire other pharmaceutical/healthcare firms. Examples of companies in this segment include Bausch Health Companies Inc., Icon Plc and Perrigo Company Plc.
SGIOY | SUPN | SGIOY / SUPN | |
Capitalization | 12.4B | 1.84B | 675% |
EBITDA | 242B | 90M | 268,889% |
Gain YTD | -11.416 | 25.155 | -45% |
P/E Ratio | 9.62 | 1677.00 | 1% |
Revenue | 427B | 608M | 70,230% |
Total Cash | 563B | 255M | 220,784% |
Total Debt | 9.41B | 41.5M | 22,677% |
SGIOY | SUPN | ||
---|---|---|---|
OUTLOOK RATING 1..100 | 12 | 13 | |
VALUATION overvalued / fair valued / undervalued 1..100 | 19 Undervalued | 77 Overvalued | |
PROFIT vs RISK RATING 1..100 | 100 | 43 | |
SMR RATING 1..100 | 2 | 79 | |
PRICE GROWTH RATING 1..100 | 57 | 42 | |
P/E GROWTH RATING 1..100 | 81 | 94 | |
SEASONALITY SCORE 1..100 | n/a | 95 |
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.
SGIOY's Valuation (19) in the null industry is somewhat better than the same rating for SUPN (77) in the Pharmaceuticals Other industry. This means that SGIOY’s stock grew somewhat faster than SUPN’s over the last 12 months.
SUPN's Profit vs Risk Rating (43) in the Pharmaceuticals Other industry is somewhat better than the same rating for SGIOY (100) in the null industry. This means that SUPN’s stock grew somewhat faster than SGIOY’s over the last 12 months.
SGIOY's SMR Rating (2) in the null industry is significantly better than the same rating for SUPN (79) in the Pharmaceuticals Other industry. This means that SGIOY’s stock grew significantly faster than SUPN’s over the last 12 months.
SUPN's Price Growth Rating (42) in the Pharmaceuticals Other industry is in the same range as SGIOY (57) in the null industry. This means that SUPN’s stock grew similarly to SGIOY’s over the last 12 months.
SGIOY's P/E Growth Rating (81) in the null industry is in the same range as SUPN (94) in the Pharmaceuticals Other industry. This means that SGIOY’s stock grew similarly to SUPN’s over the last 12 months.
SGIOY | SUPN | |
---|---|---|
RSI ODDS (%) | 2 days ago65% | 2 days ago74% |
Stochastic ODDS (%) | 2 days ago60% | 2 days ago68% |
Momentum ODDS (%) | 2 days ago60% | 2 days ago66% |
MACD ODDS (%) | 2 days ago67% | 2 days ago62% |
TrendWeek ODDS (%) | 2 days ago65% | 2 days ago67% |
TrendMonth ODDS (%) | 2 days ago67% | 2 days ago71% |
Advances ODDS (%) | 15 days ago63% | 3 days ago73% |
Declines ODDS (%) | 2 days ago61% | about 1 month ago66% |
BollingerBands ODDS (%) | N/A | N/A |
Aroon ODDS (%) | N/A | 2 days ago70% |
A.I.dvisor indicates that over the last year, SGIOY has been loosely correlated with TAK. These tickers have moved in lockstep 40% of the time. This A.I.-generated data suggests there is some statistical probability that if SGIOY jumps, then TAK could also see price increases.
Ticker / NAME | Correlation To SGIOY | 1D Price Change % | ||
---|---|---|---|---|
SGIOY | 100% | -0.43% | ||
TAK - SGIOY | 40% Loosely correlated | +0.60% | ||
ESAIY - SGIOY | 36% Loosely correlated | +0.50% | ||
KMDA - SGIOY | 27% Poorly correlated | -0.86% | ||
SCYX - SGIOY | 23% Poorly correlated | +2.78% | ||
SUPN - SGIOY | 22% Poorly correlated | -0.74% | ||
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A.I.dvisor indicates that over the last year, SUPN has been loosely correlated with DVAX. These tickers have moved in lockstep 33% of the time. This A.I.-generated data suggests there is some statistical probability that if SUPN jumps, then DVAX could also see price increases.
Ticker / NAME | Correlation To SUPN | 1D Price Change % | ||
---|---|---|---|---|
SUPN | 100% | -0.74% | ||
DVAX - SUPN | 33% Loosely correlated | +0.39% | ||
AMRX - SUPN | 30% Poorly correlated | +4.13% | ||
PBH - SUPN | 29% Poorly correlated | -1.95% | ||
AQST - SUPN | 28% Poorly correlated | +6.94% | ||
SNDL - SUPN | 27% Poorly correlated | +4.17% | ||
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