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).
FLWS’s FA Score shows that 1 FA rating(s) are green whilePAG’s FA Score has 2 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.
FLWS’s TA Score shows that 5 TA indicator(s) are bullish while PAG’s TA Score has 4 bullish TA indicator(s).
FLWS (@Specialty Stores) experienced а -11.75% price change this week, while PAG (@Specialty Stores) price change was -1.72% for the same time period.
The average weekly price growth across all stocks in the @Specialty Stores industry was +1.27%. For the same industry, the average monthly price growth was +0.31%, and the average quarterly price growth was +2.08%.
FLWS is expected to report earnings on Jan 30, 2025.
PAG is expected to report earnings on Feb 05, 2025.
The specialty stores sector includes companies dedicated to the sale of retail products focused on a single product category, such as clothing, carpet, books, or office supplies. A specialty store could face intense competition from big-box departmental chains, and therefore offering an adequate collection of the product type it specializes in is key in maintaining/growing its market.
FLWS | PAG | FLWS / PAG | |
Capitalization | 699M | 10.9B | 6% |
EBITDA | 1.43M | 1.79B | 0% |
Gain YTD | -30.334 | 0.517 | -5,862% |
P/E Ratio | 156.25 | 10.37 | 1,507% |
Revenue | 1.91B | 29.5B | 6% |
Total Cash | 312M | 96.4M | 324% |
Total Debt | 318M | 7.74B | 4% |
FLWS | PAG | ||
---|---|---|---|
OUTLOOK RATING 1..100 | 54 | 6 | |
VALUATION overvalued / fair valued / undervalued 1..100 | 94 Overvalued | 67 Overvalued | |
PROFIT vs RISK RATING 1..100 | 100 | 6 | |
SMR RATING 1..100 | 89 | 50 | |
PRICE GROWTH RATING 1..100 | 81 | 53 | |
P/E GROWTH RATING 1..100 | 1 | 32 | |
SEASONALITY SCORE 1..100 | 50 | 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.
PAG's Valuation (67) in the Specialty Stores industry is in the same range as FLWS (94) in the Internet Retail industry. This means that PAG’s stock grew similarly to FLWS’s over the last 12 months.
PAG's Profit vs Risk Rating (6) in the Specialty Stores industry is significantly better than the same rating for FLWS (100) in the Internet Retail industry. This means that PAG’s stock grew significantly faster than FLWS’s over the last 12 months.
PAG's SMR Rating (50) in the Specialty Stores industry is somewhat better than the same rating for FLWS (89) in the Internet Retail industry. This means that PAG’s stock grew somewhat faster than FLWS’s over the last 12 months.
PAG's Price Growth Rating (53) in the Specialty Stores industry is in the same range as FLWS (81) in the Internet Retail industry. This means that PAG’s stock grew similarly to FLWS’s over the last 12 months.
FLWS's P/E Growth Rating (1) in the Internet Retail industry is in the same range as PAG (32) in the Specialty Stores industry. This means that FLWS’s stock grew similarly to PAG’s over the last 12 months.
FLWS | PAG | |
---|---|---|
RSI ODDS (%) | 2 days ago86% | N/A |
Stochastic ODDS (%) | 2 days ago82% | 2 days ago59% |
Momentum ODDS (%) | 2 days ago75% | 2 days ago60% |
MACD ODDS (%) | 2 days ago80% | 2 days ago67% |
TrendWeek ODDS (%) | 2 days ago75% | 2 days ago55% |
TrendMonth ODDS (%) | 2 days ago79% | 2 days ago69% |
Advances ODDS (%) | 14 days ago82% | 8 days ago72% |
Declines ODDS (%) | 3 days ago79% | 2 days ago58% |
BollingerBands ODDS (%) | 2 days ago72% | 2 days ago72% |
Aroon ODDS (%) | 2 days ago81% | 2 days ago56% |
A.I.dvisor indicates that over the last year, FLWS has been loosely correlated with ABG. These tickers have moved in lockstep 53% of the time. This A.I.-generated data suggests there is some statistical probability that if FLWS jumps, then ABG could also see price increases.
Ticker / NAME | Correlation To FLWS | 1D Price Change % | ||
---|---|---|---|---|
FLWS | 100% | +2.18% | ||
ABG - FLWS | 53% Loosely correlated | +0.00% | ||
PAG - FLWS | 53% Loosely correlated | -1.25% | ||
CWH - FLWS | 50% Loosely correlated | +0.93% | ||
RH - FLWS | 49% Loosely correlated | +4.05% | ||
KMX - FLWS | 48% Loosely correlated | +1.81% | ||
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A.I.dvisor indicates that over the last year, PAG has been closely correlated with GPI. These tickers have moved in lockstep 85% of the time. This A.I.-generated data suggests there is a high statistical probability that if PAG jumps, then GPI could also see price increases.