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COMP vs WGS
To compare these two companies we present long-term analysis, their fundamental ratings and make comparative short-term technical analysis which are presented below. The conclusion is COMP is a Hold and WGS is a Hold.
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 undervalued. We use an FA Score to show how many ratings show the ticker to be undervalued (green) or overvalued (red).
COMP’s FA Score shows that 1 FA rating(s) are green whileWGS’s FA Score has 0 green FA rating(s).
- COMP’s FA Score: 1 green, 4 red.
- WGS’s FA Score: 0 green, 5 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.
COMP’s TA Score shows that 3 TA indicator(s) are bullish while WGS’s TA Score has 5 bullish TA indicator(s).
- COMP’s TA Score: 3 bullish, 5 bearish.
- WGS’s TA Score: 5 bullish, 4 bearish.
Price Growth
COMP (@Real Estate Development) experienced а -7.24% price change this week, while WGS (@Medical Specialties) price change was -0.81% for the same time period.
The average weekly price growth across all stocks in the @Real Estate Development industry was -0.85%. For the same industry, the average monthly price growth was +0.33%, and the average quarterly price growth was +4.75%.
The average weekly price growth across all stocks in the @Medical Specialties industry was -4.30%. For the same industry, the average monthly price growth was -0.25%, and the average quarterly price growth was +22.98%.
Reported Earning Dates
COMP is expected to report earnings on Mar 03, 2026.
WGS is expected to report earnings on Feb 23, 2026.
Industries' Descriptions
@Real Estate Development (-0.85% weekly)Activities range from the renovation and re-lease of existing buildings to the purchase of raw land and the sale of developed land or parcels to others. Demand for land development business is driven by GDP growth, employment rates, interest rates, and access to/cost of capital. For individual companies in this industry, proper cost estimation and successful bidding play critical roles in their profitability. Large companies could potentially have greater access to capital, while smaller companies can specialize in a specific geographic area or market niche. CBRE Group, VICI Properties Inc and Brookfield Property Partners L.P. are some of the large companies in this industry.
@Medical Specialties (-4.30% weekly)Medical specialties are companies that make equipment used by the health care industry. Equipment manufactured and distributed by these companies include dialysis machines, blood analysis equipment, surgical equipment, dental instruments, and diagnostic tools, among other items. Large companies typically aim to produce and distribute high-quality products across a broad market spectrum. Smaller firms are more likely to specialize in a particular market segment. Due to the industry’s close association with medical treatments, they typically have low sensitivity to macroeconomic fluctuations. Within this industry, Abbott Laboratories, Medtronic Plc and Thermo Fisher Scientific Inc. are some of the companies with multi-billion market capitalizations in the U.S. stock markets.
| COMP | WGS | COMP / WGS | |
| Capitalization | 8.82B | 2.75B | 321% |
| EBITDA | 49.1M | 33.9M | 145% |
| Gain YTD | 15.232 | -26.780 | -57% |
| P/E Ratio | N/A | 865.09 | - |
| Revenue | 6.64B | 402M | 1,652% |
| Total Cash | 170M | 155M | 110% |
| Total Debt | 481M | 113M | 426% |
| COMP | WGS | |
|---|---|---|
| RSI ODDS (%) | 2 days ago 78% | 2 days ago 76% |
| Stochastic ODDS (%) | 2 days ago 79% | 2 days ago 83% |
| Momentum ODDS (%) | 2 days ago 82% | 2 days ago 90% |
| MACD ODDS (%) | 2 days ago 90% | 2 days ago 75% |
| TrendWeek ODDS (%) | 2 days ago 84% | 2 days ago 89% |
| TrendMonth ODDS (%) | 2 days ago 79% | 2 days ago 90% |
| Advances ODDS (%) | 10 days ago 82% | 14 days ago 84% |
| Declines ODDS (%) | 2 days ago 83% | 8 days ago 87% |
| BollingerBands ODDS (%) | 2 days ago 82% | 2 days ago 90% |
| Aroon ODDS (%) | 2 days ago 79% | 2 days ago 90% |
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COMP and
Correlation & Price change
A.I.dvisor indicates that over the last year, COMP has been loosely correlated with COIN. These tickers have moved in lockstep 62% of the time. This A.I.-generated data suggests there is some statistical probability that if COMP jumps, then COIN could also see price increases.
| Ticker / NAME | Correlation To COMP | 1D Price Change % | ||
|---|---|---|---|---|
| COMP | 100% | -0.81% | ||
| COIN - COMP | 62% Loosely correlated | -4.36% | ||
| AFRM - COMP | 62% Loosely correlated | -0.53% | ||
| U - COMP | 59% Loosely correlated | -10.20% | ||
| CLSK - COMP | 59% Loosely correlated | +2.90% | ||
| TDOC - COMP | 58% Loosely correlated | -4.84% | ||
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WGS and
Correlation & Price change
A.I.dvisor indicates that over the last year, WGS has been loosely correlated with COIN. These tickers have moved in lockstep 59% of the time. This A.I.-generated data suggests there is some statistical probability that if WGS jumps, then COIN could also see price increases.
| Ticker / NAME | Correlation To WGS | 1D Price Change % | ||
|---|---|---|---|---|
| WGS | 100% | -3.82% | ||
| COIN - WGS | 59% Loosely correlated | -4.36% | ||
| CLSK - WGS | 53% Loosely correlated | +2.90% | ||
| RIOT - WGS | 50% Loosely correlated | +0.13% | ||
| COMP - WGS | 35% Loosely correlated | -0.81% | ||
| OPK - WGS | 28% Poorly correlated | -1.56% | ||
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