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 whileTOPP’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.
RXO’s TA Score shows that 4 TA indicator(s) are bullish while TOPP’s TA Score has 4 bullish TA indicator(s).
RXO (@Trucking) experienced а -13.67% price change this week, while TOPP (@Trucking) price change was -15.00% for the same time period.
The average weekly price growth across all stocks in the @Trucking industry was -9.99%. For the same industry, the average monthly price growth was +14.36%, and the average quarterly price growth was +46.50%.
RXO is expected to report earnings on Aug 06, 2026.
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 | TOPP | RXO / TOPP | |
| Capitalization | 4.19B | 28.4M | 14,743% |
| EBITDA | 20M | -6.34M | -315% |
| Gain YTD | 96.361 | 47.168 | 204% |
| P/E Ratio | 670.67 | 155.11 | 432% |
| Revenue | 5.73B | 16.8M | 34,131% |
| Total Cash | 21M | 836K | 2,512% |
| Total Debt | 699M | 1.47M | 47,681% |
| RXO | TOPP | |
|---|---|---|
| RSI ODDS (%) | 2 days ago 88% | 2 days ago 90% |
| Stochastic ODDS (%) | 2 days ago 76% | 2 days ago 88% |
| Momentum ODDS (%) | 2 days ago 82% | 2 days ago 90% |
| MACD ODDS (%) | 2 days ago 77% | 2 days ago 90% |
| TrendWeek ODDS (%) | 2 days ago 74% | 2 days ago 90% |
| TrendMonth ODDS (%) | 2 days ago 73% | 2 days ago 86% |
| Advances ODDS (%) | 10 days ago 75% | 8 days ago 86% |
| Declines ODDS (%) | 2 days ago 77% | 4 days ago 90% |
| BollingerBands ODDS (%) | 2 days ago 85% | 2 days ago 88% |
| Aroon ODDS (%) | 2 days ago 75% | 2 days ago 90% |
| 1 Day | |||
|---|---|---|---|
| ETFs / NAME | Price $ | Chg $ | Chg % |
| HYGW | 28.96 | -0.05 | -0.16% |
| iShares High Yld Crp Bd Buywrt Stgy ETF | |||
| XMMO | 169.71 | -0.52 | -0.31% |
| Invesco S&P MidCap Momentum ETF | |||
| IBTM | 22.58 | -0.13 | -0.57% |
| iShares iBonds Dec 2032 Term Trs ETF | |||
| WSML | 34.51 | -0.37 | -1.07% |
| iShares MSCI World Small-Cap ETF | |||
| SUPL | 45.54 | -1.90 | -4.00% |
| ProShares Supply Chain Logistics ETF | |||
A.I.dvisor indicates that over the last year, RXO has been closely correlated with CVLG. These tickers have moved in lockstep 73% of the time. This A.I.-generated data suggests there is a high statistical probability that if RXO jumps, then CVLG could also see price increases.
| Ticker / NAME | Correlation To RXO | 1D Price Change % | ||
|---|---|---|---|---|
| RXO | 100% | -8.78% | ||
| CVLG - RXO | 73% Closely correlated | -4.34% | ||
| ULH - RXO | 64% Loosely correlated | -2.55% | ||
| ARCB - RXO | 59% Loosely correlated | -8.73% | ||
| HTLD - RXO | 57% Loosely correlated | -6.71% | ||
| WERN - RXO | 56% Loosely correlated | -5.25% | ||
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A.I.dvisor tells us that TOPP and TFII have been poorly correlated (+17% of the time) for the last year. This A.I.-generated data suggests there is low statistical probability that TOPP and TFII's prices will move in lockstep.
| Ticker / NAME | Correlation To TOPP | 1D Price Change % | ||
|---|---|---|---|---|
| TOPP | 100% | -4.80% | ||
| TFII - TOPP | 17% Poorly correlated | -5.35% | ||
| ARCB - TOPP | 13% Poorly correlated | -8.73% | ||
| CVLG - TOPP | 2% Poorly correlated | -4.34% | ||
| SNDR - TOPP | -1% Poorly correlated | -4.54% | ||
| RXO - TOPP | -3% Poorly correlated | -8.78% | ||
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