Netflix Inc. (NFLX)
Seasonality Analysis
Netflix Inc. Annual Seasonality Statistics
Netflix Inc. Monthly Seasonality Performance
| Month | Avg Return | Win Rate | Strength |
|---|---|---|---|
| January BEST | 14.62% | Very Strong | |
| February | 3.58% | Moderate | |
| March | 2.71% | Moderate | |
| April | -0.07% | Weak | |
| May | 5.01% | Moderate | |
| June | 1.43% | Moderate | |
| July WORST | -2.25% | Very Weak | |
| August | 4.29% | Strong | |
| September | -0.25% | Weak | |
| October | 5.71% | Moderate | |
| November | -0.43% | Weak | |
| December | 2.00% | Moderate |
Netflix Inc. 2026 vs Historical Pattern
Netflix Inc. Interactive Seasonality Chart
Netflix Inc. Pattern Scanner
Netflix Inc. Seasonal Historical Performance
About Netflix Inc. (NFLX) Seasonality
Netflix shows a striking January pattern over 25 years: January is its standout month at +14.62% (positive 75% of years), often around its closely watched Q4 subscriber results, with October and May also strong. July (-2.25%, positive only 38% of years) has been the weak spot. Netflix's +36.44% average annual return is among the highest here, but a consistency score of 31 ("Poor") reflects its extreme volatility.
Netflix Inc. Seasonality FAQ
What is the best month to buy Netflix Inc. (NFLX)?
Historically, January has been the best month for Netflix Inc., with an average return of 14.62% and a win rate of 75%. However, past performance does not guarantee future results.
What is the worst month for Netflix Inc. (NFLX)?
Based on historical data, July has been the weakest month for Netflix Inc., with an average return of -2.25%. This is a historical observation and does not guarantee future results.
How reliable is NFLX seasonality data?
The seasonality analysis for Netflix Inc. is based on 25 years of historical price data. While seasonal patterns can provide useful insights, they should be combined with other forms of analysis. Past patterns do not guarantee future performance.
How can I use Netflix Inc. seasonality in my trading?
Use Netflix Inc. (NFLX) seasonality as one factor in your analysis. Identify historically strong and weak months, combine with other research methods. SeasOptima provides premium tools including interactive charts, pattern scanning, and historical performance data for deeper analysis.