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GLPI or O or PSA
| GLPI | O | PSA | |
| Capitalization | 11.5B | 53.6B | 55.4B |
| EBITDA | 1.66B | 5.1B | 3.54B |
| Gain YTD | -6.520 | 4.046 | 17.613 |
| P/E Ratio | 11.58 | 41.36 | 28.27 |
| Revenue | 1.66B | 5.97B | 4.89B |
| Total Cash | 319M | 553M | 260M |
| Total Debt | 8.38B | 31.2B | 10.2B |
GLPI | O | PSA | ||
|---|---|---|---|---|
OUTLOOK RATING 1..100 | 50 | 63 | 57 | |
VALUATION overvalued / fair valued / undervalued 1..100 | 7 Undervalued | 55 Fair valued | 17 Undervalued | |
PROFIT vs RISK RATING 1..100 | 56 | 88 | 79 | |
SMR RATING 1..100 | 46 | 86 | 27 | |
PRICE GROWTH RATING 1..100 | 70 | 60 | 56 | |
P/E GROWTH RATING 1..100 | 84 | 76 | 50 | |
SEASONALITY SCORE 1..100 | 75 | 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.
GLPI's Valuation (7) in the Real Estate Investment Trusts industry is in the same range as PSA (17) and is somewhat better than the same rating for O (55). This means that GLPI's stock grew similarly to PSA’s and somewhat faster than O’s over the last 12 months.
GLPI's Profit vs Risk Rating (56) in the Real Estate Investment Trusts industry is in the same range as PSA (79) and is in the same range as O (88). This means that GLPI's stock grew similarly to PSA’s and similarly to O’s over the last 12 months.
PSA's SMR Rating (27) in the Real Estate Investment Trusts industry is in the same range as GLPI (46) and is somewhat better than the same rating for O (86). This means that PSA's stock grew similarly to GLPI’s and somewhat faster than O’s over the last 12 months.
PSA's Price Growth Rating (56) in the Real Estate Investment Trusts industry is in the same range as O (60) and is in the same range as GLPI (70). This means that PSA's stock grew similarly to O’s and similarly to GLPI’s over the last 12 months.
PSA's P/E Growth Rating (50) in the Real Estate Investment Trusts industry is in the same range as O (76) and is somewhat better than the same rating for GLPI (84). This means that PSA's stock grew similarly to O’s and somewhat faster than GLPI’s over the last 12 months.
| GLPI | O | PSA | |
|---|---|---|---|
| RSI ODDS (%) | 2 days ago 61% | 2 days ago 48% | 2 days ago 61% |
| Stochastic ODDS (%) | 2 days ago 53% | 2 days ago 50% | 2 days ago 57% |
| Momentum ODDS (%) | 2 days ago 47% | 2 days ago 42% | 2 days ago 54% |
| MACD ODDS (%) | 2 days ago 48% | 2 days ago 44% | 2 days ago 60% |
| TrendWeek ODDS (%) | 2 days ago 47% | 2 days ago 48% | 2 days ago 57% |
| TrendMonth ODDS (%) | 2 days ago 42% | 2 days ago 44% | 2 days ago 51% |
| Advances ODDS (%) | 6 days ago 42% | 17 days ago 49% | N/A |
| Declines ODDS (%) | 2 days ago 46% | 4 days ago 47% | 11 days ago 56% |
| BollingerBands ODDS (%) | 2 days ago 46% | 2 days ago 50% | 2 days ago 68% |
| Aroon ODDS (%) | 2 days ago 55% | 2 days ago 52% | 2 days ago 56% |
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).
GLPI’s FA Score shows that 1 FA rating(s) are green while O’s FA Score has 0 green FA rating(s), and PSA’s FA Score reflects 2 green FA rating(s).
- GLPI’s FA Score: 1 green, 4 red.
- O’s FA Score: 0 green, 5 red.
- PSA’s FA Score: 2 green, 3 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.
GLPI’s TA Score shows that 4 TA indicator(s) are bullish while O’s TA Score has 4 bullish TA indicator(s), and PSA’s TA Score reflects 4 bullish TA indicator(s).
- GLPI’s TA Score: 4 bullish, 5 bearish.
- O’s TA Score: 4 bullish, 6 bearish.
- PSA’s TA Score: 4 bullish, 5 bearish.
Price Growth
GLPI (@Specialty Telecommunications) experienced а -1.62% price change this week, while O (@Real Estate Investment Trusts) price change was -4.77% , and PSA (@Miscellaneous Manufacturing) price fluctuated +0.96% for the same time period.
The average weekly price growth across all stocks in the @Specialty Telecommunications industry was -2.48%. For the same industry, the average monthly price growth was -4.54%, and the average quarterly price growth was +2.19%.
The average weekly price growth across all stocks in the @Real Estate Investment Trusts industry was -3.66%. For the same industry, the average monthly price growth was -9.66%, and the average quarterly price growth was -0.42%.
The average weekly price growth across all stocks in the @Miscellaneous Manufacturing industry was +0.19%. For the same industry, the average monthly price growth was -3.35%, and the average quarterly price growth was +16.35%.
Reported Earning Dates
GLPI is expected to report earnings on Oct 22, 2026.
O is expected to report earnings on Nov 09, 2026.
PSA is expected to report earnings on Nov 02, 2026.
Industries' Descriptions
@Specialty Telecommunications (-2.48% weekly)Companies belonging to the specialty telecommunications sector provide voice and data transmission via a single method, such as fixed lines, digital subscriber lines (DSL), wireless technology, the internet or competitive local exchange carriers. Telefonica, Liberty Broadband Corp., and Zayo Group Holdings, Inc. are some of the big specialty telecom companies in the U.S.
@Real Estate Investment Trusts (-3.66% weekly)A real estate investment trust (REIT) is a company any that owns, and in most cases, operates, income-producing real estate – ranging from office and apartment buildings to warehouses, hospitals, shopping centers, hotels and timberlands. Some REITs are involved in financing real estate. Equity REITs invest in and own properties, while mortgage REITs own and invest in property mortgages. REITs are required by law to pay out at least 90% of their annual taxable income (excluding capital gains) to shareholders in the form of dividends. Some REITs could be more cyclical than others; for example, when an economy is undergoing a recession, hotel REITs could be more vulnerable, compared to say healthcare REIT given that healthcare needs are less likely to depend on economic cycles. American Tower Corporation, Prologis, Inc. and Crown Castle International Corp are some of the biggest REIT companies in the U.S.
@Miscellaneous Manufacturing (+0.19% weekly)Miscellaneous manufacturing refers to a diverse range of products that cannot readily be categorized into other specific sectors of manufacturing. Major U.S. players in this industry include AMETEK, Inc.( analytical instruments, precision components and specialty materials), Dover Corporation (solutions for efficiency and safety of extracting oil and gas, e.g. rod lifts, progressing cavity pumps, gas lifts etc.; solutions for the transportation/transformation of solid waste; products for safe handling of critical fluids for various industries; systems for commercial-refrigeration, heating and cooling, and food and beverage packaging), and Carlisle Companies Incorporated (niche markets including commercial roofing, energy, lawn and garden, mining and construction equipment, aerospace and electronics, dining and food delivery, and healthcare), among others.
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GLPI and
Correlation & Price change
A.I.dvisor indicates that over the last year, GLPI has been closely correlated with FCPT. These tickers have moved in lockstep 68% of the time. This A.I.-generated data suggests there is a high statistical probability that if GLPI jumps, then FCPT could also see price increases.
| Ticker / NAME | Correlation To GLPI | 1D Price Change % | ||
|---|---|---|---|---|
| GLPI | 100% | -1.30% | ||
| FCPT - GLPI | 68% Closely correlated | -0.31% | ||
| O - GLPI | 68% Closely correlated | -1.15% | ||
| DOC - GLPI | 65% Loosely correlated | -0.83% | ||
| CUBE - GLPI | 65% Loosely correlated | -1.59% | ||
| EPRT - GLPI | 65% Loosely correlated | -0.19% | ||
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O and
Correlation & Price change
A.I.dvisor indicates that over the last year, O has been closely correlated with NNN. These tickers have moved in lockstep 78% of the time. This A.I.-generated data suggests there is a high statistical probability that if O jumps, then NNN could also see price increases.
PSA and
Correlation & Price change
A.I.dvisor indicates that over the last year, PSA has been closely correlated with EXR. These tickers have moved in lockstep 87% of the time. This A.I.-generated data suggests there is a high statistical probability that if PSA jumps, then EXR could also see price increases.