Screening Filters
Market Cap ≥ $2,000,000,000
- Purpose: Focus on larger, more established hospitality companies.
- Rationale: In the “hospitality” space (hotels, resorts, travel services), small caps can be more volatile and sensitive to economic cycles. A $2B+ market cap bias tilts you toward companies with:
- More stable balance sheets and financing access
- Better-established brands and loyalty programs
- More analyst coverage and transparency
Sector = Consumer Cyclicals
- Purpose: Narrow down to consumer-facing businesses tied to discretionary spending.
- Rationale: Hospitality (hotels, resorts, casinos, travel & leisure) is typically classified under Consumer Cyclicals. This filter removes sectors that are not relevant (e.g., Tech, Healthcare) and focuses on businesses driven by travel and leisure demand, which is what you mean by “hospitality” in an investing context.
Theme = Travel Service
- Purpose: Home in specifically on companies closely linked to travel and hospitality activity.
- Rationale: Within Consumer Cyclicals, there are many sub-areas (retail, autos, etc.). The “Travel Service” theme captures:
- Hotel chains, resorts, and lodging
- Travel booking platforms and related services
- Other service businesses dependent on travel demand
This theme-level filter makes the results much more “hospitality-like” instead of just any consumer cyclical stock.
Operating Margin ≥ 8%
- Purpose: Screen for companies with reasonably solid profitability.
- Rationale: Hospitality is capital-intensive and cyclical; weak margins can be a red flag. A minimum 8% operating margin aims to select:
- Operators with good cost control and pricing power
- Businesses better positioned to withstand downturns
- Higher-quality franchises, not just “cheap” or distressed names
Quarterly Revenue YoY Growth ≥ 5%
- Purpose: Include only companies showing positive, real top-line growth.
- Rationale: “Good to buy now” usually implies some growth momentum, not stagnation. A minimum 5% year-over-year revenue growth (on the latest reported quarter) favors:
- Companies gaining demand as travel recovers or expands
- Firms that are not just profitable, but also growing their business
This is particularly important in hospitality, where occupancy and RevPAR trends matter a lot.
One-Month Predicted Return ≥ 0
- Purpose: Avoid names where quantitative models expect near-term underperformance.
- Rationale: While no prediction model is perfect, a non-negative one-month predicted return filter:
- Screens out stocks with a negative short-term outlook from the model
- Aligns with your desire for “good to buy now” by favoring neutral-to-positive near-term expectations
Analyst Consensus = Strong Buy or Moderate Buy
- Purpose: Tilt toward stocks with favorable professional analyst sentiment.
- Rationale: When you ask which hospitality stocks are “good to buy now,” analyst ratings are a direct way to incorporate current, research-based opinions:
- “Strong Buy” and “Moderate Buy” reflect positive risk/reward as seen by covering analysts
- This filter excludes “Hold,” “Sell,” or poorly covered names, focusing on those with supportive street views
Why Results Match Your Question
- The sector and theme filters (Consumer Cyclicals + Travel Service) explicitly target companies operating in or very close to the hospitality industry (hotels, resorts, travel-related services).
- The market cap and operating margin filters tilt toward higher-quality, financially stronger names, which are more appropriate for investors asking what’s “good to buy now” rather than speculative or distressed plays.
- The revenue growth, predicted return, and analyst consensus filters collectively emphasize current momentum and positive outlook, aligning with the idea of hospitality stocks that are attractive in the present environment, not just in theory.
This list is generated based on data from one or more third party data providers. It is provided for informational purposes only by Intellectia.AI, and is not investment advice or a recommendation. Intellectia does not make any warranty or guarantee relating to the accuracy, timeliness or completeness of any third-party information, and the provision of this information does not constitute a recommendation.