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).
ACB’s FA Score shows that 0 FA rating(s) are green whileCPHI’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.
ACB’s TA Score shows that 4 TA indicator(s) are bullish while CPHI’s TA Score has 4 bullish TA indicator(s).
ACB (@Pharmaceuticals: Other) experienced а -12.86% price change this week, while CPHI (@Pharmaceuticals: Other) price change was -5.55% for the same time period.
The average weekly price growth across all stocks in the @Pharmaceuticals: Other industry was -5.07%. For the same industry, the average monthly price growth was -7.87%, and the average quarterly price growth was -11.90%.
ACB is expected to report earnings on Feb 06, 2025.
CPHI is expected to report earnings on May 18, 2023.
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.
ACB | CPHI | ACB / CPHI | |
Capitalization | 239M | 18.3M | 1,306% |
EBITDA | -1.64B | N/A | - |
Gain YTD | -11.802 | -68.760 | 17% |
P/E Ratio | N/A | N/A | - |
Revenue | 212M | N/A | - |
Total Cash | 149M | N/A | - |
Total Debt | 103M | 5.39M | 1,910% |
ACB | CPHI | ||
---|---|---|---|
OUTLOOK RATING 1..100 | 54 | 50 | |
VALUATION overvalued / fair valued / undervalued 1..100 | 94 Overvalued | 44 Fair valued | |
PROFIT vs RISK RATING 1..100 | 100 | 100 | |
SMR RATING 1..100 | 89 | 97 | |
PRICE GROWTH RATING 1..100 | 90 | 88 | |
P/E GROWTH RATING 1..100 | 100 | 100 | |
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.
CPHI's Valuation (44) in the Pharmaceuticals Generic industry is somewhat better than the same rating for ACB (94) in the Pharmaceuticals Other industry. This means that CPHI’s stock grew somewhat faster than ACB’s over the last 12 months.
CPHI's Profit vs Risk Rating (100) in the Pharmaceuticals Generic industry is in the same range as ACB (100) in the Pharmaceuticals Other industry. This means that CPHI’s stock grew similarly to ACB’s over the last 12 months.
ACB's SMR Rating (89) in the Pharmaceuticals Other industry is in the same range as CPHI (97) in the Pharmaceuticals Generic industry. This means that ACB’s stock grew similarly to CPHI’s over the last 12 months.
CPHI's Price Growth Rating (88) in the Pharmaceuticals Generic industry is in the same range as ACB (90) in the Pharmaceuticals Other industry. This means that CPHI’s stock grew similarly to ACB’s over the last 12 months.
CPHI's P/E Growth Rating (100) in the Pharmaceuticals Generic industry is in the same range as ACB (100) in the Pharmaceuticals Other industry. This means that CPHI’s stock grew similarly to ACB’s over the last 12 months.
ACB | CPHI | |
---|---|---|
RSI ODDS (%) | 3 days ago88% | 3 days ago88% |
Stochastic ODDS (%) | 3 days ago78% | 3 days ago83% |
Momentum ODDS (%) | 3 days ago90% | 3 days ago88% |
MACD ODDS (%) | 3 days ago90% | 3 days ago90% |
TrendWeek ODDS (%) | 3 days ago90% | 3 days ago90% |
TrendMonth ODDS (%) | 3 days ago90% | 3 days ago90% |
Advances ODDS (%) | 13 days ago76% | 18 days ago82% |
Declines ODDS (%) | 3 days ago90% | 3 days ago89% |
BollingerBands ODDS (%) | 3 days ago87% | 3 days ago84% |
Aroon ODDS (%) | N/A | 3 days ago90% |
1 Day | |||
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A.I.dvisor indicates that over the last year, ACB has been closely correlated with CGC. These tickers have moved in lockstep 82% of the time. This A.I.-generated data suggests there is a high statistical probability that if ACB jumps, then CGC could also see price increases.
Ticker / NAME | Correlation To ACB | 1D Price Change % | ||
---|---|---|---|---|
ACB | 100% | -3.23% | ||
CGC - ACB | 82% Closely correlated | -0.27% | ||
TLRY - ACB | 76% Closely correlated | -2.17% | ||
CRON - ACB | 67% Closely correlated | -2.90% | ||
SNDL - ACB | 65% Loosely correlated | N/A | ||
OGI - ACB | 56% Loosely correlated | -4.00% | ||
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A.I.dvisor tells us that CPHI and SIGA have been poorly correlated (+23% of the time) for the last year. This A.I.-generated data suggests there is low statistical probability that CPHI and SIGA's prices will move in lockstep.
Ticker / NAME | Correlation To CPHI | 1D Price Change % | ||
---|---|---|---|---|
CPHI | 100% | -3.57% | ||
SIGA - CPHI | 23% Poorly correlated | -5.71% | ||
PAHC - CPHI | 22% Poorly correlated | -1.77% | ||
PTPI - CPHI | 22% Poorly correlated | -4.18% | ||
SXTC - CPHI | 21% Poorly correlated | -10.02% | ||
ACB - CPHI | 21% Poorly correlated | -3.23% | ||
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