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MNRO vs SMP
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 MNRO is a Buy and SMP is a StrongBuy.
MNRO | SMP | ||
|---|---|---|---|
OUTLOOK RATING 1..100 | 77 | 10 | |
VALUATION overvalued / fair valued / undervalued 1..100 | 6 Undervalued | 5 Undervalued | |
PROFIT vs RISK RATING 1..100 | 100 | 98 | |
SMR RATING 1..100 | 89 | 78 | |
PRICE GROWTH RATING 1..100 | 56 | 54 | |
P/E GROWTH RATING 1..100 | 100 | 76 | |
SEASONALITY SCORE 1..100 | 65 | 85 |
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.
SMP's Valuation (5) in the Automotive Aftermarket industry is in the same range as MNRO (6) in the Specialty Stores industry. This means that SMP’s stock grew similarly to MNRO’s over the last 12 months.
SMP's Profit vs Risk Rating (98) in the Automotive Aftermarket industry is in the same range as MNRO (100) in the Specialty Stores industry. This means that SMP’s stock grew similarly to MNRO’s over the last 12 months.
SMP's SMR Rating (78) in the Automotive Aftermarket industry is in the same range as MNRO (89) in the Specialty Stores industry. This means that SMP’s stock grew similarly to MNRO’s over the last 12 months.
SMP's Price Growth Rating (54) in the Automotive Aftermarket industry is in the same range as MNRO (56) in the Specialty Stores industry. This means that SMP’s stock grew similarly to MNRO’s over the last 12 months.
SMP's P/E Growth Rating (76) in the Automotive Aftermarket industry is in the same range as MNRO (100) in the Specialty Stores industry. This means that SMP’s stock grew similarly to MNRO’s over the last 12 months.
| MNRO | SMP | |
|---|---|---|
| RSI ODDS (%) | N/A | 2 days ago 62% |
| Stochastic ODDS (%) | 2 days ago 73% | 2 days ago 66% |
| Momentum ODDS (%) | 2 days ago 69% | 2 days ago 57% |
| MACD ODDS (%) | N/A | 2 days ago 67% |
| TrendWeek ODDS (%) | 2 days ago 66% | 2 days ago 64% |
| TrendMonth ODDS (%) | 2 days ago 61% | 2 days ago 64% |
| Advances ODDS (%) | 2 days ago 64% | 5 days ago 62% |
| Declines ODDS (%) | 5 days ago 77% | 3 days ago 65% |
| BollingerBands ODDS (%) | 2 days ago 76% | 2 days ago 67% |
| Aroon ODDS (%) | 2 days ago 63% | 2 days ago 48% |
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).
MNRO’s FA Score shows that 1 FA rating(s) are green while SMP’s FA Score has 1 green FA rating(s).
- MNRO’s FA Score: 1 green, 4 red.
- SMP’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.
MNRO’s TA Score shows that 5 TA indicator(s) are bullish while SMP’s TA Score has 3 bullish TA indicator(s).
- MNRO’s TA Score: 5 bullish, 3 bearish.
- SMP’s TA Score: 3 bullish, 7 bearish.
Price Growth
MNRO (@Auto Parts: OEM) experienced а +3.20% price change this week, while SMP (@Auto Parts: OEM) price change was -0.45% for the same time period.
The average weekly price growth across all stocks in the @Auto Parts: OEM industry was -1.33%. For the same industry, the average monthly price growth was -5.39%, and the average quarterly price growth was -4.59%.
Reported Earning Dates
MNRO is expected to report earnings on Nov 04, 2026.
SMP is expected to report earnings on Oct 23, 2026.
Industries' Descriptions
@Auto Parts: OEM (-1.33% 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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MNRO and
Correlation & Price change
A.I.dvisor indicates that over the last year, MNRO has been loosely correlated with ALV. These tickers have moved in lockstep 45% of the time. This A.I.-generated data suggests there is some statistical probability that if MNRO jumps, then ALV could also see price increases.
| Ticker / NAME | Correlation To MNRO | 1D Price Change % | ||
|---|---|---|---|---|
| MNRO | 100% | +0.21% | ||
| ALV - MNRO | 45% Loosely correlated | +1.05% | ||
| GT - MNRO | 44% Loosely correlated | +1.21% | ||
| LEA - MNRO | 43% Loosely correlated | +2.83% | ||
| SMP - MNRO | 38% Loosely correlated | +0.51% | ||
| MGA - MNRO | 36% Loosely correlated | +1.24% | ||
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SMP and
Correlation & Price change
A.I.dvisor indicates that over the last year, SMP has been loosely correlated with DORM. These tickers have moved in lockstep 60% of the time. This A.I.-generated data suggests there is some statistical probability that if SMP jumps, then DORM could also see price increases.
| Ticker / NAME | Correlation To SMP | 1D Price Change % | ||
|---|---|---|---|---|
| SMP | 100% | +0.51% | ||
| DORM - SMP | 60% Loosely correlated | +0.24% | ||
| PHIN - SMP | 57% Loosely correlated | +1.01% | ||
| ALV - SMP | 55% Loosely correlated | +1.05% | ||
| LEA - SMP | 53% Loosely correlated | +2.83% | ||
| DCH - SMP | 47% Loosely correlated | +4.02% | ||
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