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).
CARG’s FA Score shows that 1 FA rating(s) are green whileSCOR’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.
CARG’s TA Score shows that 5 TA indicator(s) are bullish while SCOR’s TA Score has 6 bullish TA indicator(s).
CARG (@Automotive Aftermarket) experienced а -7.93% price change this week, while SCOR (@Packaged Software) price change was +20.63% for the same time period.
The average weekly price growth across all stocks in the @Automotive Aftermarket industry was +1.62%. For the same industry, the average monthly price growth was +6.46%, and the average quarterly price growth was -6.63%.
The average weekly price growth across all stocks in the @Packaged Software industry was -1.73%. For the same industry, the average monthly price growth was -0.80%, and the average quarterly price growth was +69.27%.
CARG is expected to report earnings on Feb 19, 2026.
The Automotive Aftermarket consists of the manufacturing, remanufacturing, distribution, retailing, and installation of vehicle parts and accessories, after the sale of the automobile by the original equipment manufacturer (OEM) to the consumer. The aftermarket parts many not be manufactured by the OEM. According to a Technavio study, the US automotive parts aftermarket size is estimated to grow by USD 24.33 billion during 2018-2022 (CAGR 3%). Like many other industries, the automotive aftermarket is also being intensely penetrated by the digital boom. The online auto parts sales market is predicted to exceed $13B by 2020 (according to a study by Mirakl).
@Packaged Software (-1.73% weekly)Packaged software comprises multiple software programs bundled together and sold as a group. For example, Microsoft Office includes multiple applications such as Excel, Word, and PowerPoint. In some cases, buying a bundled product is cheaper than purchasing each item individually[s20] . Microsoft Corporation, Oracle Corp. and Adobe are some major American packaged software makers.
| CARG | SCOR | CARG / SCOR | |
| Capitalization | 3.34B | 43.1M | 7,742% |
| EBITDA | 236M | 29.3M | 805% |
| Gain YTD | -8.840 | 32.134 | -28% |
| P/E Ratio | 23.62 | N/A | - |
| Revenue | 926M | 359M | 258% |
| Total Cash | 179M | 26.7M | 670% |
| Total Debt | 193M | 56.7M | 340% |
CARG | SCOR | ||
|---|---|---|---|
OUTLOOK RATING 1..100 | 77 | 32 | |
VALUATION overvalued / fair valued / undervalued 1..100 | 85 Overvalued | 35 Fair valued | |
PROFIT vs RISK RATING 1..100 | 93 | 100 | |
SMR RATING 1..100 | 26 | 100 | |
PRICE GROWTH RATING 1..100 | 57 | 40 | |
P/E GROWTH RATING 1..100 | 100 | 100 | |
SEASONALITY SCORE 1..100 | 50 | 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.
SCOR's Valuation (35) in the Miscellaneous Commercial Services industry is somewhat better than the same rating for CARG (85). This means that SCOR’s stock grew somewhat faster than CARG’s over the last 12 months.
CARG's Profit vs Risk Rating (93) in the Miscellaneous Commercial Services industry is in the same range as SCOR (100). This means that CARG’s stock grew similarly to SCOR’s over the last 12 months.
CARG's SMR Rating (26) in the Miscellaneous Commercial Services industry is significantly better than the same rating for SCOR (100). This means that CARG’s stock grew significantly faster than SCOR’s over the last 12 months.
SCOR's Price Growth Rating (40) in the Miscellaneous Commercial Services industry is in the same range as CARG (57). This means that SCOR’s stock grew similarly to CARG’s over the last 12 months.
SCOR's P/E Growth Rating (100) in the Miscellaneous Commercial Services industry is in the same range as CARG (100). This means that SCOR’s stock grew similarly to CARG’s over the last 12 months.
| CARG | SCOR | |
|---|---|---|
| RSI ODDS (%) | 2 days ago 81% | 2 days ago 85% |
| Stochastic ODDS (%) | 2 days ago 83% | 2 days ago 90% |
| Momentum ODDS (%) | 2 days ago 67% | 2 days ago 77% |
| MACD ODDS (%) | 2 days ago 67% | 2 days ago 81% |
| TrendWeek ODDS (%) | 2 days ago 67% | 2 days ago 75% |
| TrendMonth ODDS (%) | 2 days ago 75% | 2 days ago 71% |
| Advances ODDS (%) | 7 days ago 71% | 4 days ago 77% |
| Declines ODDS (%) | 2 days ago 69% | 16 days ago 90% |
| BollingerBands ODDS (%) | 2 days ago 87% | 2 days ago 90% |
| Aroon ODDS (%) | 2 days ago 74% | 2 days ago 81% |
| 1 Day | |||
|---|---|---|---|
| MFs / NAME | Price $ | Chg $ | Chg % |
| CSHNX | 10.66 | 0.08 | +0.76% |
| NYLI Cushing® MLP Premier Investor Class | |||
| GSXCX | 29.11 | 0.01 | +0.03% |
| abrdn US Small Cap Equity C | |||
| FAYZX | 16.03 | N/A | N/A |
| Fidelity Advisor Multi-Asset Income I | |||
| VTCIX | 177.22 | -0.94 | -0.53% |
| Vanguard Tax-Managed Capital App I | |||
| MFADX | 26.62 | -0.16 | -0.60% |
| Cromwell Long Short Investor | |||
A.I.dvisor indicates that over the last year, CARG has been loosely correlated with AN. These tickers have moved in lockstep 57% of the time. This A.I.-generated data suggests there is some statistical probability that if CARG jumps, then AN could also see price increases.
| Ticker / NAME | Correlation To CARG | 1D Price Change % | ||
|---|---|---|---|---|
| CARG | 100% | -3.77% | ||
| AN - CARG | 57% Loosely correlated | -0.80% | ||
| MAX - CARG | 54% Loosely correlated | -1.64% | ||
| ABG - CARG | 53% Loosely correlated | -0.01% | ||
| ZG - CARG | 52% Loosely correlated | -1.49% | ||
| CPRT - CARG | 52% Loosely correlated | +0.30% | ||
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A.I.dvisor tells us that SCOR and SHOP have been poorly correlated (+29% of the time) for the last year. This A.I.-generated data suggests there is low statistical probability that SCOR and SHOP's prices will move in lockstep.
| Ticker / NAME | Correlation To SCOR | 1D Price Change % | ||
|---|---|---|---|---|
| SCOR | 100% | +5.38% | ||
| SHOP - SCOR | 29% Poorly correlated | -5.93% | ||
| CARG - SCOR | 28% Poorly correlated | -3.77% | ||
| NATL - SCOR | 28% Poorly correlated | +0.73% | ||
| KVYO - SCOR | 27% Poorly correlated | -2.21% | ||
| RNG - SCOR | 27% Poorly correlated | +1.30% | ||
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