Investors and traders focused on the energy infrastructure space often examine master limited partnerships (MLPs) for their yield potential and exposure to volume-driven cash flows. MPLX, PAA, and PAGP represent three closely related yet distinct vehicles within the midstream segment. This comparison provides a factual overview of their business models, recent relative performance, and key differentiating factors. It is relevant for those evaluating income-oriented holdings, sector rotation strategies, or portfolio diversification within energy logistics and transportation.
MPLX LP operates as a diversified midstream MLP, owning and operating pipelines, storage facilities, and processing assets primarily serving natural gas, crude oil, and NGL markets. Its business benefits from long-term contracts and fee-based revenue structures that reduce direct commodity price exposure. In recent weeks, MPLX has reflected steady sentiment supported by consistent volume trends and integration with its sponsor’s refining operations. Market activity has been shaped by overall energy infrastructure demand and investor focus on reliable distribution coverage.
Plains All American Pipeline, L.P. (PAA) focuses on the transportation, storage, and marketing of crude oil and NGLs across North America. The partnership maintains an extensive pipeline network and terminal assets that support both domestic production and export flows. Recent performance has tracked broader midstream trends, with sentiment influenced by crude oil throughput levels and project execution. In recent market activity, PAA has demonstrated resilience tied to its operational scale and ongoing optimization of its asset base.
Plains GP Holdings, L.P. (PAGP) serves as the general partner of PAA, holding incentive distribution rights and economic interests in the underlying partnership. This structure creates distinct return characteristics compared with direct MLP ownership. Recent weeks have seen PAGP performance aligned with PAA fundamentals while reflecting the additional layer of partnership governance and distribution mechanics. Sentiment remains linked to the operational results of the Plains system and broader MLP market dynamics.
Tickeron’s Trending AI Robots page showcases a curated selection of AI trading bots drawn from hundreds available across thousands of tickers. Only those demonstrating strong suitability for prevailing market conditions earn placement in this section. Available bots span a wide range of trading styles, strategies, timeframes, and performance statistics, allowing users to match tools to specific objectives. The platform provides transparent metrics on win rates, drawdowns, and trade frequency to support informed evaluation. Review the Trending AI Robots page for current options.
The three entities differ in structure and exposure despite operating in the same midstream space. MPLX offers broader asset diversification across gas and liquids, while PAA maintains a primary focus on crude oil logistics. PAGP provides leveraged participation in PAA results through its GP interest. Recent momentum has been broadly similar, though governance and distribution policies create distinct risk-return profiles. Sector exposure remains concentrated in energy infrastructure, leaving all three sensitive to volume fluctuations, regulatory changes, and capital expenditure cycles. Valuation sensitivity tends to reflect distribution sustainability and coverage ratios more than near-term earnings volatility.
Based on observable factors such as trend consistency, operational stability, and relative positioning within the midstream sector, Tickeron’s AI would currently assign a modestly higher probability of favorable risk-adjusted characteristics to MPLX. This assessment reflects its scale, contract profile, and integration advantages amid steady sector conditions. Outcomes remain probabilistic and dependent on evolving market variables.
The information on this webpage is provided for general informational and educational purposes only and is not intended as investment advice, a recommendation to purchase or sell any security, or an offer or solicitation related to investments. It does not consider your personal financial situation, goals, or risk profile, and all investing carries inherent risks, including the possibility of losing your entire investment. For more details, please review our full disclaimer.
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).
MPLX’s FA Score shows that 2 FA rating(s) are green whilePAA’s FA Score has 2 green FA rating(s), and PAGP’s FA Score reflects 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.
MPLX’s TA Score shows that 4 TA indicator(s) are bullish while PAA’s TA Score has 6 bullish TA indicator(s), and PAGP’s TA Score reflects 5 bullish TA indicator(s).
MPLX (@Oil & Gas Pipelines) experienced а +2.51% price change this week, while PAA (@Oil & Gas Pipelines) price change was -7.16% , and PAGP (@Oil & Gas Pipelines) price fluctuated -6.04% for the same time period.
The average weekly price growth across all stocks in the @Oil & Gas Pipelines industry was -1.47%. For the same industry, the average monthly price growth was -1.50%, and the average quarterly price growth was +16.64%.
MPLX is expected to report earnings on Nov 03, 2026.
PAA is expected to report earnings on Oct 29, 2026.
PAGP is expected to report earnings on Oct 29, 2026.
Oil & Gas Pipelines industry includes companies that transport natural gas and crude oil through pipelines. These companies also collect and market the fuels. The pipeline segment could be considered as a midstream operation – functioning as a link between the upstream and downstream operations in the oil and gas industry. Some of the largest U.S. pipeline players include Enterprise Products Partners L.P, TC Energy Corporation and Energy Transfer, L.P.
| MPLX | PAA | PAGP | |
| Capitalization | 59.7B | 16.1B | 4.9B |
| EBITDA | 7.35B | 2.91B | 2.81B |
| Gain YTD | 16.701 | 34.413 | 36.336 |
| P/E Ratio | 12.66 | 20.55 | 29.81 |
| Revenue | 11.7B | 45.3B | 45.3B |
| Total Cash | N/A | N/A | N/A |
| Total Debt | 26.1B | 11.6B | 11.6B |
MPLX | PAA | PAGP | ||
|---|---|---|---|---|
OUTLOOK RATING 1..100 | 13 | 50 | 50 | |
VALUATION overvalued / fair valued / undervalued 1..100 | 8 Undervalued | 6 Undervalued | 8 Undervalued | |
PROFIT vs RISK RATING 1..100 | 2 | 5 | 4 | |
SMR RATING 1..100 | 87 | 74 | 57 | |
PRICE GROWTH RATING 1..100 | 46 | 46 | 45 | |
P/E GROWTH RATING 1..100 | 49 | 44 | 38 | |
SEASONALITY SCORE 1..100 | 50 | 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.
PAA's Valuation (6) in the Oil And Gas Pipelines industry is in the same range as MPLX (8) and is in the same range as PAGP (8). This means that PAA's stock grew similarly to MPLX’s and similarly to PAGP’s over the last 12 months.
MPLX's Profit vs Risk Rating (2) in the Oil And Gas Pipelines industry is in the same range as PAGP (4) and is in the same range as PAA (5). This means that MPLX's stock grew similarly to PAGP’s and similarly to PAA’s over the last 12 months.
PAGP's SMR Rating (57) in the Oil And Gas Pipelines industry is in the same range as PAA (74) and is in the same range as MPLX (87). This means that PAGP's stock grew similarly to PAA’s and similarly to MPLX’s over the last 12 months.
PAGP's Price Growth Rating (45) in the Oil And Gas Pipelines industry is in the same range as PAA (46) and is in the same range as MPLX (46). This means that PAGP's stock grew similarly to PAA’s and similarly to MPLX’s over the last 12 months.
PAGP's P/E Growth Rating (38) in the Oil And Gas Pipelines industry is in the same range as PAA (44) and is in the same range as MPLX (49). This means that PAGP's stock grew similarly to PAA’s and similarly to MPLX’s over the last 12 months.
| MPLX | PAA | PAGP | |
|---|---|---|---|
| RSI ODDS (%) | 3 days ago 39% | 3 days ago 51% | 3 days ago 50% |
| Stochastic ODDS (%) | 3 days ago 25% | 3 days ago 66% | 3 days ago 72% |
| Momentum ODDS (%) | 3 days ago 49% | 3 days ago 53% | 3 days ago 58% |
| MACD ODDS (%) | 3 days ago 58% | 3 days ago 50% | 3 days ago 63% |
| TrendWeek ODDS (%) | 3 days ago 52% | 3 days ago 50% | 3 days ago 51% |
| TrendMonth ODDS (%) | 3 days ago 48% | 3 days ago 64% | 3 days ago 61% |
| Advances ODDS (%) | 6 days ago 52% | 12 days ago 67% | 12 days ago 66% |
| Declines ODDS (%) | 11 days ago 31% | 5 days ago 49% | 5 days ago 51% |
| BollingerBands ODDS (%) | 3 days ago 25% | 3 days ago 70% | 3 days ago 83% |
| Aroon ODDS (%) | 3 days ago 42% | 3 days ago 65% | 3 days ago 63% |
A.I.dvisor indicates that over the last year, MPLX has been loosely correlated with DKL. These tickers have moved in lockstep 52% of the time. This A.I.-generated data suggests there is some statistical probability that if MPLX jumps, then DKL could also see price increases.
| Ticker / NAME | Correlation To MPLX | 1D Price Change % | ||
|---|---|---|---|---|
| MPLX | 100% | -0.83% | ||
| DKL - MPLX | 52% Loosely correlated | -3.65% | ||
| ET - MPLX | 48% Loosely correlated | -0.98% | ||
| PAA - MPLX | 44% Loosely correlated | -3.02% | ||
| PAGP - MPLX | 44% Loosely correlated | -2.52% | ||
| AM - MPLX | 43% Loosely correlated | -1.02% | ||
More | ||||
A.I.dvisor indicates that over the last year, PAA has been closely correlated with PAGP. These tickers have moved in lockstep 97% of the time. This A.I.-generated data suggests there is a high statistical probability that if PAA jumps, then PAGP could also see price increases.
| Ticker / NAME | Correlation To PAA | 1D Price Change % | ||
|---|---|---|---|---|
| PAA | 100% | -3.02% | ||
| PAGP - PAA | 97% Closely correlated | -2.52% | ||
| AM - PAA | 77% Closely correlated | -1.02% | ||
| WES - PAA | 54% Loosely correlated | -0.72% | ||
| TRGP - PAA | 54% Loosely correlated | -4.24% | ||
| ET - PAA | 51% Loosely correlated | -0.98% | ||
More | ||||
A.I.dvisor indicates that over the last year, PAGP has been closely correlated with PAA. These tickers have moved in lockstep 96% of the time. This A.I.-generated data suggests there is a high statistical probability that if PAGP jumps, then PAA could also see price increases.
| Ticker / NAME | Correlation To PAGP | 1D Price Change % | ||
|---|---|---|---|---|
| PAGP | 100% | -2.52% | ||
| PAA - PAGP | 96% Closely correlated | -3.02% | ||
| EPD - PAGP | 63% Loosely correlated | -0.79% | ||
| OKE - PAGP | 61% Loosely correlated | -1.72% | ||
| TRGP - PAGP | 55% Loosely correlated | -4.24% | ||
| WES - PAGP | 55% Loosely correlated | -0.72% | ||
More | ||||