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CPS vs LEA
To compare these two companies we present long-term analysis, their fundamental ratings and make comparative short-term technical analysis which are presented below. The conclusion is CPS is a Hold and LEA is a StrongBuy.
| CPS | LEA | CPS / LEA | |
| Capitalization | 428M | 6.45B | 7% |
| EBITDA | 132M | 1.44B | 9% |
| Gain YTD | -26.592 | 16.192 | -164% |
| P/E Ratio | 24.04 | 12.18 | 197% |
| Revenue | 2.78B | 23.7B | 12% |
| Total Cash | 127M | 1B | 13% |
| Total Debt | 1.24B | 2.75B | 45% |
CPS | LEA | ||
|---|---|---|---|
OUTLOOK RATING 1..100 | 87 | 37 | |
VALUATION overvalued / fair valued / undervalued 1..100 | 55 Fair valued | 11 Undervalued | |
PROFIT vs RISK RATING 1..100 | 100 | 100 | |
SMR RATING 1..100 | 100 | 68 | |
PRICE GROWTH RATING 1..100 | 79 | 48 | |
P/E GROWTH RATING 1..100 | 11 | 67 | |
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.
LEA's Valuation (11) in the Auto Parts OEM industry is somewhat better than the same rating for CPS (55). This means that LEA’s stock grew somewhat faster than CPS’s over the last 12 months.
LEA's Profit vs Risk Rating (100) in the Auto Parts OEM industry is in the same range as CPS (100). This means that LEA’s stock grew similarly to CPS’s over the last 12 months.
LEA's SMR Rating (68) in the Auto Parts OEM industry is in the same range as CPS (100). This means that LEA’s stock grew similarly to CPS’s over the last 12 months.
LEA's Price Growth Rating (48) in the Auto Parts OEM industry is in the same range as CPS (79). This means that LEA’s stock grew similarly to CPS’s over the last 12 months.
CPS's P/E Growth Rating (11) in the Auto Parts OEM industry is somewhat better than the same rating for LEA (67). This means that CPS’s stock grew somewhat faster than LEA’s over the last 12 months.
| CPS | LEA | |
|---|---|---|
| RSI ODDS (%) | N/A | 2 days ago 90% |
| Stochastic ODDS (%) | 2 days ago 90% | 2 days ago 72% |
| Momentum ODDS (%) | 3 days ago 80% | 2 days ago 70% |
| MACD ODDS (%) | 2 days ago 74% | 2 days ago 71% |
| TrendWeek ODDS (%) | 2 days ago 81% | 2 days ago 68% |
| TrendMonth ODDS (%) | 2 days ago 80% | 2 days ago 62% |
| Advances ODDS (%) | 9 days ago 82% | 2 days ago 65% |
| Declines ODDS (%) | 3 days ago 84% | 4 days ago 65% |
| BollingerBands ODDS (%) | 2 days ago 90% | 2 days ago 73% |
| Aroon ODDS (%) | 2 days ago 78% | 2 days ago 61% |
Long-Term Analysis
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 overvalued. We use an FA Score to show how many ratings show the ticker to be undervalued (green) or overvalued (red).
CPS’s FA Score shows that 1 FA rating(s) are green while LEA’s FA Score has 1 green FA rating(s).
- CPS’s FA Score: 1 green, 4 red.
- LEA’s FA Score: 1 green, 4 red.
Short-Term Analysis
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.
CPS’s TA Score shows that 3 TA indicator(s) are bullish while LEA’s TA Score has 5 bullish TA indicator(s).
- CPS’s TA Score: 3 bullish, 6 bearish.
- LEA’s TA Score: 5 bullish, 4 bearish.
Price Growth
CPS (@Auto Parts: OEM) experienced а -11.33% price change this week, while LEA (@Auto Parts: OEM) price change was -2.87% for the same time period.
The average weekly price growth across all stocks in the @Auto Parts: OEM industry was -4.25%. For the same industry, the average monthly price growth was -3.01%, and the average quarterly price growth was +5.48%.
Reported Earning Dates
CPS is expected to report earnings on Oct 29, 2026.
LEA is expected to report earnings on Nov 03, 2026.
Industries' Descriptions
@Auto Parts: OEM (-4.25% weekly)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.
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CPS and
Correlation & Price change
A.I.dvisor indicates that over the last year, CPS has been loosely correlated with MGA. These tickers have moved in lockstep 62% of the time. This A.I.-generated data suggests there is some statistical probability that if CPS jumps, then MGA could also see price increases.
| Ticker / NAME | Correlation To CPS | 1D Price Change % | ||
|---|---|---|---|---|
| CPS | 100% | +1.69% | ||
| MGA - CPS | 62% Loosely correlated | +1.52% | ||
| LEA - CPS | 46% Loosely correlated | +2.33% | ||
| ADNT - CPS | 44% Loosely correlated | +2.01% | ||
| ALV - CPS | 44% Loosely correlated | -0.03% | ||
| PHIN - CPS | 43% Loosely correlated | +0.35% | ||
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LEA and
Correlation & Price change
A.I.dvisor indicates that over the last year, LEA has been closely correlated with ADNT. These tickers have moved in lockstep 68% of the time. This A.I.-generated data suggests there is a high statistical probability that if LEA jumps, then ADNT could also see price increases.
| Ticker / NAME | Correlation To LEA | 1D Price Change % | ||
|---|---|---|---|---|
| LEA | 100% | +2.33% | ||
| ADNT - LEA | 68% Closely correlated | +2.01% | ||
| MGA - LEA | 65% Loosely correlated | +1.52% | ||
| DCH - LEA | 59% Loosely correlated | -1.22% | ||
| BWA - LEA | 56% Loosely correlated | +1.46% | ||
| THRM - LEA | 54% Loosely correlated | +1.36% | ||
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