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).
KVUE’s FA Score shows that 1 FA rating(s) are green while.
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.
KVUE’s TA Score shows that 5 TA indicator(s) are bullish.
KVUE (@Household/Personal Care) experienced а +1.88% price change this weekfor the same time period.
The average weekly price growth across all stocks in the @Household/Personal Care industry was -0.70%. For the same industry, the average monthly price growth was -3.75%, and the average quarterly price growth was +2012.37%.
KVUE is expected to report earnings on Feb 05, 2026.
Household/Personal Care companies sell products for home cleaning and/or personal hygiene and grooming purposes. Products of this industry include detergents, shampoos, soaps, cosmetics, fabric conditioners and infant care fragrances. Procter & Gamble, Unilever, Estee Lauder and Colgate-Palmolive are some of the biggest names in the business. A lot of the products become a necessary part of people’s daily routine, and therefore the industry is relatively less vulnerable to macroeconomic downturns. At the same time, product quality, consumer safety, and ease of use are extremely critical factors for a company to survive competition and earn recognition in this industry.
| KVUE | SIXL | |
|---|---|---|
| RSI ODDS (%) | 1 day ago 69% | 3 days ago 86% |
| Stochastic ODDS (%) | 1 day ago 67% | 3 days ago 58% |
| Momentum ODDS (%) | 1 day ago 59% | 3 days ago 82% |
| MACD ODDS (%) | N/A | 3 days ago 78% |
| TrendWeek ODDS (%) | 1 day ago 54% | 3 days ago 75% |
| TrendMonth ODDS (%) | 1 day ago 42% | 3 days ago 71% |
| Advances ODDS (%) | 8 days ago 56% | 4 days ago 76% |
| Declines ODDS (%) | 3 days ago 70% | 18 days ago 67% |
| BollingerBands ODDS (%) | 1 day ago 50% | 3 days ago 86% |
| Aroon ODDS (%) | 1 day ago 58% | 3 days ago 68% |
| 1 Day | |||
|---|---|---|---|
| ETFs / NAME | Price $ | Chg $ | Chg % |
| JUNZ | 33.46 | N/A | N/A |
| TrueShares Structured Outcome June ETF | |||
| HYD | 50.83 | -0.10 | -0.20% |
| VanEck High Yield Muni ETF | |||
| INDS | 37.54 | -0.24 | -0.65% |
| Pacer Benchmark Industrial RE SCTR ETF | |||
| RSSY | 20.18 | -0.31 | -1.50% |
| Return Stacked U.S. Stocks & Futures Yield ETF | |||
| HPS | 15.06 | -0.26 | -1.70% |
| John Hancock Preferred Income Fund III | |||
A.I.dvisor indicates that over the last year, KVUE has been loosely correlated with KMB. These tickers have moved in lockstep 38% of the time. This A.I.-generated data suggests there is some statistical probability that if KVUE jumps, then KMB could also see price increases.
| Ticker / NAME | Correlation To KVUE | 1D Price Change % | ||
|---|---|---|---|---|
| KVUE | 100% | +0.60% | ||
| KMB - KVUE | 38% Loosely correlated | +0.32% | ||
| CL - KVUE | 35% Loosely correlated | +0.29% | ||
| PG - KVUE | 30% Poorly correlated | -0.03% | ||
| CHD - KVUE | 28% Poorly correlated | -0.52% | ||
| UL - KVUE | 27% Poorly correlated | -1.08% | ||
More | ||||
A.I.dvisor indicates that over the last year, SIXL has been loosely correlated with KVUE. These tickers have moved in lockstep 38% of the time. This A.I.-generated data suggests there is some statistical probability that if SIXL jumps, then KVUE could also see price increases.
| Ticker / NAME | Correlation To SIXL | 1D Price Change % | ||
|---|---|---|---|---|
| SIXL | 100% | -0.10% | ||
| KVUE - SIXL | 38% Loosely correlated | -0.30% | ||
| TKO - SIXL | 36% Loosely correlated | +1.11% | ||
| KLG - SIXL | 30% Poorly correlated | N/A | ||
| LQDT - SIXL | 18% Poorly correlated | +0.51% | ||
| UVV - SIXL | 16% Poorly correlated | -0.75% | ||
More | ||||