SAIA and XPO are key players in the less-than-truckload (LTL) freight transportation sector, a critical segment of the U.S. logistics industry facing evolving demand dynamics. This stock comparison examines their business models, recent performance, and market positioning amid broader transportation trends. Investors and traders focused on industrial cyclicals, supply chain resilience, or sector rotation strategies may find value in understanding their relative strengths, especially as both prepare for first-quarter earnings. With freight volumes showing signs of stabilization, contrasting momentum offers insights into potential trade-offs in growth and stability.
Saia, Inc. (SAIA) provides regional and interregional LTL services across North America through a network of over 210 terminals, employing more than 15,000 people. The company focuses on customer-centric logistics solutions, including truckload and expedited services.
In recent market activity, SAIA shares have gained on analyst optimism, with price targets raised amid expectations of steady execution despite muted LTL demand into early 2026. Network expansion, such as a new terminal in Pennsylvania, supports growth potential. Profit margins stand at about 7.9%, with return on assets (ROA) at 6.4%, reflecting efficient operations. Sentiment has improved with upgrades to hold ratings and buy consensus from 17 analysts, though shares trail broader sector leaders in momentum.
XPO, Inc. (XPO) is a leading asset-based LTL provider covering 99% of U.S. ZIP codes, with operations extending to Canada and Mexico. Following strategic separations, it emphasizes North American LTL freight, prioritizing operational efficiency and customer coverage.
Recent weeks have seen XPO achieve all-time highs above $220, driven by improving LTL metrics like year-over-year tonnage gains and strong quarterly revenue growth. Shares reflect robust year-to-date advances over 60%, with profit margins at 3.9% and ROA near 5.8%. Analyst buy ratings persist ahead of earnings, bolstered by execution in a challenging environment, though fuel and FX headwinds prompted some target adjustments.
Tickeron’s Trending AI Robots page showcases a curated selection of top-performing AI trading bots from its library of over 350 bots that trade thousands of tickers across various assets. Only 25 bots earn a spot in this trending section, chosen for their suitability to current market conditions based on factors like win rates, average returns, and strategy effectiveness. These bots employ diverse approaches—ranging from short-term scalping to longer-term trend following—with performance stats often highlighting win rates above 60% and annualized returns in the double digits for select models. Transportation sector bots, potentially including LTL plays like SAIA or XPO, adapt to volatility in freight demand. Explore these tools to align automated strategies with your trading style.
Both SAIA and XPO center on LTL freight, but XPO’s larger scale offers broader geographic reach versus SAIA’s regional focus. Growth drivers differ: XPO benefits from post-restructuring efficiency and tonnage upticks, while SAIA leverages terminal expansions. Recent momentum favors XPO with superior relative performance, though SAIA shows higher margins. Risk factors include subdued freight demand into mid-2026 and macroeconomic sensitivities for both. Sector exposure is concentrated in transportation, with market sentiment tilting toward XPO’s stability amid volatility.
Tickeron’s AI currently favors XPO over SAIA, based on stronger trend consistency, recent all-time highs, and relative outperformance in the LTL space. XPO’s operational catalysts and market positioning suggest higher probability of continued upside, though both face near-term demand pressures. This assessment reflects observable data patterns rather than guarantees.
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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).
SAIA’s FA Score shows that 1 FA rating(s) are green whileXPO’s FA Score has 2 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.
SAIA’s TA Score shows that 3 TA indicator(s) are bullish while XPO’s TA Score has 5 bullish TA indicator(s).
SAIA (@Trucking) experienced а -1.24% price change this week, while XPO (@Trucking) price change was +2.19% for the same time period.
The average weekly price growth across all stocks in the @Trucking industry was +2.78%. For the same industry, the average monthly price growth was +24.01%, and the average quarterly price growth was +56.86%.
SAIA is expected to report earnings on Jul 24, 2026.
XPO is expected to report earnings on Jul 30, 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.
| SAIA | XPO | SAIA / XPO | |
| Capitalization | 12.4B | 25.7B | 48% |
| EBITDA | 603M | 1.22B | 50% |
| Gain YTD | 42.873 | 61.092 | 70% |
| P/E Ratio | 49.00 | 75.24 | 65% |
| Revenue | 3.25B | 8.3B | 39% |
| Total Cash | 39.2M | 237M | 17% |
| Total Debt | 262M | 4.03B | 6% |
SAIA | XPO | ||
|---|---|---|---|
OUTLOOK RATING 1..100 | 70 | 43 | |
VALUATION overvalued / fair valued / undervalued 1..100 | 89 Overvalued | 90 Overvalued | |
PROFIT vs RISK RATING 1..100 | 63 | 15 | |
SMR RATING 1..100 | 71 | 46 | |
PRICE GROWTH RATING 1..100 | 39 | 39 | |
P/E GROWTH RATING 1..100 | 8 | 10 | |
SEASONALITY SCORE 1..100 | 75 | 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.
SAIA's Valuation (89) in the Trucking industry is in the same range as XPO (90). This means that SAIA’s stock grew similarly to XPO’s over the last 12 months.
XPO's Profit vs Risk Rating (15) in the Trucking industry is somewhat better than the same rating for SAIA (63). This means that XPO’s stock grew somewhat faster than SAIA’s over the last 12 months.
XPO's SMR Rating (46) in the Trucking industry is in the same range as SAIA (71). This means that XPO’s stock grew similarly to SAIA’s over the last 12 months.
XPO's Price Growth Rating (39) in the Trucking industry is in the same range as SAIA (39). This means that XPO’s stock grew similarly to SAIA’s over the last 12 months.
SAIA's P/E Growth Rating (8) in the Trucking industry is in the same range as XPO (10). This means that SAIA’s stock grew similarly to XPO’s over the last 12 months.
| SAIA | XPO | |
|---|---|---|
| RSI ODDS (%) | 7 days ago 88% | N/A |
| Stochastic ODDS (%) | 3 days ago 74% | 3 days ago 78% |
| Momentum ODDS (%) | 3 days ago 77% | 3 days ago 79% |
| MACD ODDS (%) | 3 days ago 80% | 3 days ago 81% |
| TrendWeek ODDS (%) | 3 days ago 75% | 3 days ago 75% |
| TrendMonth ODDS (%) | 3 days ago 83% | 3 days ago 77% |
| Advances ODDS (%) | 7 days ago 79% | 4 days ago 72% |
| Declines ODDS (%) | 5 days ago 71% | 17 days ago 66% |
| BollingerBands ODDS (%) | N/A | 3 days ago 68% |
| Aroon ODDS (%) | 3 days ago 83% | 3 days ago 79% |
A.I.dvisor indicates that over the last year, SAIA has been closely correlated with ODFL. These tickers have moved in lockstep 77% of the time. This A.I.-generated data suggests there is a high statistical probability that if SAIA jumps, then ODFL could also see price increases.
| Ticker / NAME | Correlation To SAIA | 1D Price Change % | ||
|---|---|---|---|---|
| SAIA | 100% | -1.04% | ||
| ODFL - SAIA | 77% Closely correlated | -1.20% | ||
| ARCB - SAIA | 76% Closely correlated | +6.17% | ||
| XPO - SAIA | 75% Closely correlated | -0.15% | ||
| CVLG - SAIA | 73% Closely correlated | +0.86% | ||
| TFII - SAIA | 72% Closely correlated | -0.51% | ||
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A.I.dvisor indicates that over the last year, XPO has been closely correlated with SAIA. These tickers have moved in lockstep 75% of the time. This A.I.-generated data suggests there is a high statistical probability that if XPO jumps, then SAIA could also see price increases.
| Ticker / NAME | Correlation To XPO | 1D Price Change % | ||
|---|---|---|---|---|
| XPO | 100% | -0.15% | ||
| SAIA - XPO | 75% Closely correlated | -1.04% | ||
| FWRD - XPO | 75% Closely correlated | +0.10% | ||
| ODFL - XPO | 71% Closely correlated | -1.20% | ||
| KNX - XPO | 71% Closely correlated | N/A | ||
| GXO - XPO | 71% Closely correlated | -1.99% | ||
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