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BIIB vs SNY
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 BIIB is a Hold and SNY 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).
BIIB’s FA Score shows that 0 FA rating(s) are green whileSNY’s FA Score has 1 green FA rating(s).
- BIIB’s FA Score: 0 green, 5 red.
- SNY’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.
BIIB’s TA Score shows that 5 TA indicator(s) are bullish while SNY’s TA Score has 4 bullish TA indicator(s).
- BIIB’s TA Score: 5 bullish, 2 bearish.
- SNY’s TA Score: 4 bullish, 6 bearish.
Price Growth
BIIB (@Pharmaceuticals: Major) experienced а +4.69% price change this week, while SNY (@Pharmaceuticals: Major) price change was -0.14% for the same time period.
The average weekly price growth across all stocks in the @Pharmaceuticals: Major industry was +1.13%. For the same industry, the average monthly price growth was +2.56%, and the average quarterly price growth was +9.33%.
Reported Earning Dates
BIIB is expected to report earnings on Jul 23, 2025.
SNY is expected to report earnings on Jul 31, 2025.
Industries' Descriptions
@Pharmaceuticals: Major (+1.13% weekly)The Major Pharmaceuticals industry includes companies that are involved in various processes of creating drugs to treat/prevent diseases. These companies engage in research, testing and manufacturing, as well as the distribution of pharmaceuticals into markets. Johnson & Johnson, Merck & Co., Inc., Pfizer Inc. and Novartis are among the largest companies in this category.
| BIIB | SNY | BIIB / SNY | |
| Capitalization | 31.3B | 123B | 25% |
| EBITDA | 2.04B | 12.6B | 16% |
| Gain YTD | -13.111 | 4.583 | -286% |
| P/E Ratio | 26.95 | 20.80 | 130% |
| Revenue | 9.84B | 46.4B | 21% |
| Total Cash | 1.05B | 8.98B | 12% |
| Total Debt | 7.34B | 18.4B | 40% |
BIIB | SNY | ||
|---|---|---|---|
OUTLOOK RATING 1..100 | 69 | 15 | |
VALUATION overvalued / fair valued / undervalued 1..100 | 88 Overvalued | 7 Undervalued | |
PROFIT vs RISK RATING 1..100 | 100 | 68 | |
SMR RATING 1..100 | 71 | 75 | |
PRICE GROWTH RATING 1..100 | 62 | 58 | |
P/E GROWTH RATING 1..100 | 96 | 91 | |
SEASONALITY SCORE 1..100 | n/a | n/a |
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.
SNY's Valuation (7) in the Pharmaceuticals Major industry is significantly better than the same rating for BIIB (88) in the Biotechnology industry. This means that SNY’s stock grew significantly faster than BIIB’s over the last 12 months.
SNY's Profit vs Risk Rating (68) in the Pharmaceuticals Major industry is in the same range as BIIB (100) in the Biotechnology industry. This means that SNY’s stock grew similarly to BIIB’s over the last 12 months.
BIIB's SMR Rating (71) in the Biotechnology industry is in the same range as SNY (75) in the Pharmaceuticals Major industry. This means that BIIB’s stock grew similarly to SNY’s over the last 12 months.
SNY's Price Growth Rating (58) in the Pharmaceuticals Major industry is in the same range as BIIB (62) in the Biotechnology industry. This means that SNY’s stock grew similarly to BIIB’s over the last 12 months.
SNY's P/E Growth Rating (91) in the Pharmaceuticals Major industry is in the same range as BIIB (96) in the Biotechnology industry. This means that SNY’s stock grew similarly to BIIB’s over the last 12 months.
| BIIB | SNY | |
|---|---|---|
| RSI ODDS (%) | N/A | N/A |
| Stochastic ODDS (%) | 2 days ago 62% | 2 days ago 39% |
| Momentum ODDS (%) | 2 days ago 58% | 2 days ago 53% |
| MACD ODDS (%) | 2 days ago 47% | 2 days ago 51% |
| TrendWeek ODDS (%) | 2 days ago 55% | 2 days ago 50% |
| TrendMonth ODDS (%) | 2 days ago 55% | 2 days ago 42% |
| Advances ODDS (%) | 3 days ago 54% | 3 days ago 51% |
| Declines ODDS (%) | 5 days ago 70% | 17 days ago 49% |
| BollingerBands ODDS (%) | 2 days ago 50% | 2 days ago 56% |
| Aroon ODDS (%) | 2 days ago 33% | 2 days ago 45% |
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BIIB and
Correlation & Price change
A.I.dvisor indicates that over the last year, BIIB has been loosely correlated with AMGN. These tickers have moved in lockstep 55% of the time. This A.I.-generated data suggests there is some statistical probability that if BIIB jumps, then AMGN could also see price increases.
| Ticker / NAME | Correlation To BIIB | 1D Price Change % | ||
|---|---|---|---|---|
| BIIB | 100% | -0.24% | ||
| AMGN - BIIB | 55% Loosely correlated | +0.47% | ||
| PFE - BIIB | 49% Loosely correlated | +0.24% | ||
| SNY - BIIB | 47% Loosely correlated | -2.05% | ||
| NVS - BIIB | 45% Loosely correlated | -1.54% | ||
| GSK - BIIB | 44% Loosely correlated | -0.86% | ||
More | ||||
SNY and
Correlation & Price change
A.I.dvisor indicates that over the last year, SNY has been loosely correlated with SNYNF. These tickers have moved in lockstep 61% of the time. This A.I.-generated data suggests there is some statistical probability that if SNY jumps, then SNYNF could also see price increases.