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SDOT vs WEN
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 SDOT is a Hold and WEN 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).
SDOT’s FA Score shows that 0 FA rating(s) are green whileWEN’s FA Score has 2 green FA rating(s).
- SDOT’s FA Score: 0 green, 5 red.
- WEN’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.
SDOT’s TA Score shows that 4 TA indicator(s) are bullish while WEN’s TA Score has 5 bullish TA indicator(s).
- SDOT’s TA Score: 4 bullish, 4 bearish.
- WEN’s TA Score: 5 bullish, 5 bearish.
Price Growth
SDOT (@Agricultural Commodities/Milling) experienced а +4.55% price change this week, while WEN (@Restaurants) price change was -6.38% for the same time period.
The average weekly price growth across all stocks in the @Agricultural Commodities/Milling industry was -0.19%. For the same industry, the average monthly price growth was -1.45%, and the average quarterly price growth was -3.51%.
The average weekly price growth across all stocks in the @Restaurants industry was -2.50%. For the same industry, the average monthly price growth was -1.56%, and the average quarterly price growth was -2.79%.
Reported Earning Dates
SDOT is expected to report earnings on May 14, 2025.
WEN is expected to report earnings on Nov 05, 2025.
Industries' Descriptions
@Agricultural Commodities/Milling (-0.19% weekly)The Agricultural Commodities/Milling industry includes companies that are involved in farming activities, such as crop production, livestock management and animal feed, for commercial purposes. The industry includes a wide range of operations from growing corn, to grain and oilseed processing to the operation of flour mills. Changes in consumer tastes is one of the critical factors influencing what products are grown and raised in this industry. Potential risks to the business include climate change and fluctuations in global prices of agricultural products. Archer-Daniels-Midland Company, Elanco Animal Health, Inc., Bunge Limited and Canopy Growth Corporation are some of the biggest U.S. companies operating in this industry.
@Restaurants (-2.50% weekly)The industry includes companies that operate full-service restaurants, fast food restaurants, cafeterias and snack bars. McDonald`s Corporation, Starbucks Corporation, YUM! Brands, Inc. and Restaurant Brands International Inc. are some of the largest U.S. restaurant-owning companies in terms of market capitalization. While restaurant spending could be viewed as discretionary for consumers, some companies in the business have been able to weather economic cycles by establishing strong loyalty among customers over the years. Many of them also have a strong global presence as well.
| SDOT | WEN | SDOT / WEN | |
| Capitalization | 12.8M | 2.03B | 1% |
| EBITDA | -5.78M | 554M | -1% |
| Gain YTD | -63.588 | -33.271 | 191% |
| P/E Ratio | N/A | 11.24 | - |
| Revenue | 727M | 2.24B | 33% |
| Total Cash | 1.35M | 335M | 0% |
| Total Debt | 8.57M | 4.08B | 0% |
WEN | ||
|---|---|---|
OUTLOOK RATING 1..100 | 75 | |
VALUATION overvalued / fair valued / undervalued 1..100 | 7 Undervalued | |
PROFIT vs RISK RATING 1..100 | 100 | |
SMR RATING 1..100 | 14 | |
PRICE GROWTH RATING 1..100 | 86 | |
P/E GROWTH RATING 1..100 | 91 | |
SEASONALITY SCORE 1..100 | 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.
| SDOT | WEN | |
|---|---|---|
| RSI ODDS (%) | 1 day ago 90% | 1 day ago 50% |
| Stochastic ODDS (%) | 1 day ago 88% | 1 day ago 61% |
| Momentum ODDS (%) | 1 day ago 85% | 1 day ago 59% |
| MACD ODDS (%) | 1 day ago 86% | 1 day ago 49% |
| TrendWeek ODDS (%) | 1 day ago 83% | 1 day ago 60% |
| TrendMonth ODDS (%) | 1 day ago 87% | 1 day ago 62% |
| Advances ODDS (%) | 10 days ago 84% | 26 days ago 52% |
| Declines ODDS (%) | 8 days ago 90% | 3 days ago 57% |
| BollingerBands ODDS (%) | N/A | 1 day ago 49% |
| Aroon ODDS (%) | N/A | 1 day ago 47% |
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SDOT and
Correlation & Price change
A.I.dvisor tells us that SDOT and FRSH have been poorly correlated (+31% of the time) for the last year. This A.I.-generated data suggests there is low statistical probability that SDOT and FRSH's prices will move in lockstep.
| Ticker / NAME | Correlation To SDOT | 1D Price Change % | ||
|---|---|---|---|---|
| SDOT | 100% | +7.00% | ||
| FRSH - SDOT | 31% Poorly correlated | +1.94% | ||
| CNNE - SDOT | 24% Poorly correlated | +0.98% | ||
| RICK - SDOT | 23% Poorly correlated | -0.81% | ||
| WEN - SDOT | 22% Poorly correlated | +0.57% | ||
| ARKR - SDOT | 22% Poorly correlated | +2.76% | ||
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WEN and
Correlation & Price change
A.I.dvisor indicates that over the last year, WEN has been loosely correlated with DIN. These tickers have moved in lockstep 49% of the time. This A.I.-generated data suggests there is some statistical probability that if WEN jumps, then DIN could also see price increases.
| Ticker / NAME | Correlation To WEN | 1D Price Change % | ||
|---|---|---|---|---|
| WEN | 100% | +0.57% | ||
| DIN - WEN | 49% Loosely correlated | -1.82% | ||
| PZZA - WEN | 45% Loosely correlated | -0.02% | ||
| FRSH - WEN | 44% Loosely correlated | +1.94% | ||
| RICK - WEN | 42% Loosely correlated | -0.81% | ||
| BLMN - WEN | 41% Loosely correlated | -1.39% | ||
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