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).
KMB’s FA Score shows that 2 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.
KMB’s TA Score shows that 4 TA indicator(s) are bullish.
KMB (@Household/Personal Care) experienced а -5.66% price change this weekfor the same time period.
The average weekly price growth across all stocks in the @Household/Personal Care industry was -1.85%. For the same industry, the average monthly price growth was -4.84%, and the average quarterly price growth was -13.20%.
KMB is expected to report earnings on Jul 28, 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.
KMB | ||
|---|---|---|
OUTLOOK RATING 1..100 | 61 | |
VALUATION overvalued / fair valued / undervalued 1..100 | 15 Undervalued | |
PROFIT vs RISK RATING 1..100 | 100 | |
SMR RATING 1..100 | 10 | |
PRICE GROWTH RATING 1..100 | 61 | |
P/E GROWTH RATING 1..100 | 55 | |
SEASONALITY SCORE 1..100 | 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.
| KMB | SPXV | |
|---|---|---|
| RSI ODDS (%) | N/A | 2 days ago 60% |
| Stochastic ODDS (%) | 2 days ago 43% | 2 days ago 60% |
| Momentum ODDS (%) | 2 days ago 48% | N/A |
| MACD ODDS (%) | 2 days ago 52% | 2 days ago 68% |
| TrendWeek ODDS (%) | 2 days ago 52% | 2 days ago 84% |
| TrendMonth ODDS (%) | 2 days ago 47% | 2 days ago 82% |
| Advances ODDS (%) | 15 days ago 42% | 5 days ago 83% |
| Declines ODDS (%) | 2 days ago 50% | 18 days ago 69% |
| BollingerBands ODDS (%) | N/A | 2 days ago 70% |
| Aroon ODDS (%) | 2 days ago 29% | 2 days ago 83% |
A.I.dvisor indicates that over the last year, KMB has been loosely correlated with CL. These tickers have moved in lockstep 53% of the time. This A.I.-generated data suggests there is some statistical probability that if KMB jumps, then CL could also see price increases.
A.I.dvisor tells us that SPXV and PSKY have been poorly correlated (+22% of the time) for the last year. This A.I.-generated data suggests there is low statistical probability that SPXV and PSKY's prices will move in lockstep.
| Ticker / NAME | Correlation To SPXV | 1D Price Change % | ||
|---|---|---|---|---|
| SPXV | 100% | -2.69% | ||
| PSKY - SPXV | 22% Poorly correlated | -4.31% | ||
| WELL - SPXV | 18% Poorly correlated | +3.03% | ||
| ACGL - SPXV | 16% Poorly correlated | +3.21% | ||
| KMB - SPXV | 16% Poorly correlated | +6.28% | ||
| PG - SPXV | 16% Poorly correlated | +4.09% | ||
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