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).
RXO’s FA Score shows that 1 FA rating(s) are green whileXPO’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.
RXO’s TA Score shows that 3 TA indicator(s) are bullish while XPO’s TA Score has 5 bullish TA indicator(s).
RXO (@Trucking) experienced а -4.25% price change this week, while XPO (@Trucking) price change was -1.10% for the same time period.
The average weekly price growth across all stocks in the @Trucking industry was -3.53%. For the same industry, the average monthly price growth was +4.78%, and the average quarterly price growth was +0.32%.
RXO is expected to report earnings on Feb 05, 2025.
XPO is expected to report earnings on Feb 05, 2025.
The trucking industry provides road transportation delivery and logistical services, including moving large quantities of raw materials, works in process, and finished goods —often from manufacturing plants to retail distribution centers. Trucks are also used in the construction industry, as they transport large amounts of rocks, concrete, and other building materials used in construction. Trucks in the U.S. are responsible for the majority of freight movement over land, and therefore play an important role in the manufacturing, transportation, and warehousing industries. The business could be affected by economic cycles, since it is closely linked with manufacturing, retail and construction. Some of the major trucking companies in the U.S. are Old Dominion Freight Line, Inc., J.B. Hunt Transport Services, Inc., and XPO Logistics, Inc.
RXO | XPO | RXO / XPO | |
Capitalization | 4.42B | 17.3B | 26% |
EBITDA | N/A | 1.14B | - |
Gain YTD | 18.186 | 70.031 | 26% |
P/E Ratio | 670.67 | 48.35 | 1,387% |
Revenue | N/A | 8.09B | - |
Total Cash | N/A | 378M | - |
Total Debt | N/A | 4.16B | - |
XPO | ||
---|---|---|
OUTLOOK RATING 1..100 | 21 | |
VALUATION overvalued / fair valued / undervalued 1..100 | 84 Overvalued | |
PROFIT vs RISK RATING 1..100 | 3 | |
SMR RATING 1..100 | 39 | |
PRICE GROWTH RATING 1..100 | 37 | |
P/E GROWTH RATING 1..100 | 95 | |
SEASONALITY SCORE 1..100 | n/a |
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.
RXO | XPO | |
---|---|---|
RSI ODDS (%) | 2 days ago88% | 2 days ago61% |
Stochastic ODDS (%) | 2 days ago68% | 2 days ago63% |
Momentum ODDS (%) | 2 days ago80% | N/A |
MACD ODDS (%) | 2 days ago76% | 2 days ago80% |
TrendWeek ODDS (%) | 2 days ago71% | 2 days ago72% |
TrendMonth ODDS (%) | 2 days ago67% | 2 days ago81% |
Advances ODDS (%) | 10 days ago0% | 5 days ago74% |
Declines ODDS (%) | 4 days ago71% | 2 days ago68% |
BollingerBands ODDS (%) | 2 days ago50% | 2 days ago70% |
Aroon ODDS (%) | 2 days ago64% | 2 days ago79% |
A.I.dvisor indicates that over the last year, RXO has been loosely correlated with XPO. These tickers have moved in lockstep 41% of the time. This A.I.-generated data suggests there is some statistical probability that if RXO jumps, then XPO could also see price increases.
Ticker / NAME | Correlation To RXO | 1D Price Change % | ||
---|---|---|---|---|
RXO | 100% | -1.26% | ||
XPO - RXO | 41% Loosely correlated | -0.39% | ||
SAIA - RXO | 35% Loosely correlated | +0.95% | ||
MRTN - RXO | 33% Loosely correlated | -2.38% | ||
PTSI - RXO | 33% Poorly correlated | N/A | ||
ARCB - RXO | 31% Poorly correlated | -1.21% | ||
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A.I.dvisor indicates that over the last year, XPO has been loosely correlated with SAIA. These tickers have moved in lockstep 63% of the time. This A.I.-generated data suggests there is some statistical probability that if XPO jumps, then SAIA could also see price increases.
Ticker / NAME | Correlation To XPO | 1D Price Change % | ||
---|---|---|---|---|
XPO | 100% | -0.39% | ||
SAIA - XPO | 63% Loosely correlated | +0.95% | ||
RXO - XPO | 41% Loosely correlated | -1.26% | ||
TFII - XPO | 39% Loosely correlated | -1.16% | ||
CVLG - XPO | 37% Loosely correlated | -1.95% | ||
ARCB - XPO | 36% Loosely correlated | -1.21% | ||
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