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).
GNTX’s FA Score shows that 0 FA rating(s) are green whileLEA’s FA Score has 1 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.
GNTX’s TA Score shows that 5 TA indicator(s) are bullish while LEA’s TA Score has 6 bullish TA indicator(s).
GNTX (@Auto Parts: OEM) experienced а -0.72% price change this week, while LEA (@Auto Parts: OEM) price change was -0.95% for the same time period.
The average weekly price growth across all stocks in the @Auto Parts: OEM industry was -1.98%. For the same industry, the average monthly price growth was -2.74%, and the average quarterly price growth was +34.51%.
GNTX is expected to report earnings on Jan 24, 2025.
LEA is expected to report earnings on Feb 11, 2025.
OEM or Original Equipment Manufacturer of auto parts refers to the original producer of a vehicles components, and so OEM car parts are usually identical to the parts used in producing the vehicle in the first place. OEM parts tend to fit the specifications of a particular model, and their compatibility is often guaranteed by the automaker itself. OEM parts could be more expensive to buy (compared to other vendors’ products) when a consumer goes for replacement. However, increased competition from aftermarket parts/third-party vendors could, in some cases, keep EOM prices in check. The industry might progress further in adopting newer technologies like 3D printing to boost supply chain performance and quality. Aptiv PLC, Magna International Inc. and BorgWarner Inc. are major OEMs for autos.
GNTX | LEA | GNTX / LEA | |
Capitalization | 8.36B | 8.26B | 101% |
EBITDA | 589M | 1.48B | 40% |
Gain YTD | -5.583 | -30.701 | 18% |
P/E Ratio | 19.64 | 14.91 | 132% |
Revenue | 2.3B | 23.5B | 10% |
Total Cash | 241M | 1.2B | 20% |
Total Debt | 25M | 2.92B | 1% |
GNTX | LEA | ||
---|---|---|---|
OUTLOOK RATING 1..100 | 18 | 13 | |
VALUATION overvalued / fair valued / undervalued 1..100 | 40 Fair valued | 16 Undervalued | |
PROFIT vs RISK RATING 1..100 | 65 | 100 | |
SMR RATING 1..100 | 50 | 63 | |
PRICE GROWTH RATING 1..100 | 55 | 80 | |
P/E GROWTH RATING 1..100 | 77 | 88 | |
SEASONALITY SCORE 1..100 | n/a | 65 |
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.
LEA's Valuation (16) in the Auto Parts OEM industry is in the same range as GNTX (40). This means that LEA’s stock grew similarly to GNTX’s over the last 12 months.
GNTX's Profit vs Risk Rating (65) in the Auto Parts OEM industry is somewhat better than the same rating for LEA (100). This means that GNTX’s stock grew somewhat faster than LEA’s over the last 12 months.
GNTX's SMR Rating (50) in the Auto Parts OEM industry is in the same range as LEA (63). This means that GNTX’s stock grew similarly to LEA’s over the last 12 months.
GNTX's Price Growth Rating (55) in the Auto Parts OEM industry is in the same range as LEA (80). This means that GNTX’s stock grew similarly to LEA’s over the last 12 months.
GNTX's P/E Growth Rating (77) in the Auto Parts OEM industry is in the same range as LEA (88). This means that GNTX’s stock grew similarly to LEA’s over the last 12 months.
GNTX | LEA | |
---|---|---|
RSI ODDS (%) | 1 day ago48% | 1 day ago64% |
Stochastic ODDS (%) | 1 day ago55% | 1 day ago62% |
Momentum ODDS (%) | 1 day ago55% | 1 day ago70% |
MACD ODDS (%) | 1 day ago61% | 1 day ago68% |
TrendWeek ODDS (%) | 1 day ago56% | 1 day ago69% |
TrendMonth ODDS (%) | 1 day ago54% | 1 day ago74% |
Advances ODDS (%) | 3 days ago51% | 3 days ago65% |
Declines ODDS (%) | 8 days ago57% | 11 days ago69% |
BollingerBands ODDS (%) | 1 day ago49% | 1 day ago73% |
Aroon ODDS (%) | N/A | 1 day ago76% |
1 Day | |||
---|---|---|---|
ETFs / NAME | Price $ | Chg $ | Chg % |
EDZ | 8.82 | 0.12 | +1.38% |
Direxion Daily MSCI Em Mkts Bear 3X ETF | |||
ESGA | 71.85 | -0.39 | -0.54% |
American Century Sustainable Equity ETF | |||
SPHQ | 67.97 | -0.38 | -0.56% |
Invesco S&P 500® Quality ETF | |||
EDC | 30.39 | -0.42 | -1.36% |
Direxion Daily MSCI Em Mkts Bull 3X ETF | |||
DPST | 144.79 | -2.44 | -1.66% |
Direxion Daily Regional Bnks Bull 3X ETF |
A.I.dvisor indicates that over the last year, GNTX has been loosely correlated with LEA. These tickers have moved in lockstep 63% of the time. This A.I.-generated data suggests there is some statistical probability that if GNTX jumps, then LEA could also see price increases.
Ticker / NAME | Correlation To GNTX | 1D Price Change % | ||
---|---|---|---|---|
GNTX | 100% | -0.85% | ||
LEA - GNTX | 63% Loosely correlated | -2.56% | ||
MGA - GNTX | 59% Loosely correlated | -0.23% | ||
VC - GNTX | 58% Loosely correlated | -1.83% | ||
ALV - GNTX | 57% Loosely correlated | -2.85% | ||
BWA - GNTX | 56% Loosely correlated | -1.09% | ||
More |
A.I.dvisor indicates that over the last year, LEA has been closely correlated with DAN. These tickers have moved in lockstep 82% of the time. This A.I.-generated data suggests there is a high statistical probability that if LEA jumps, then DAN could also see price increases.