Netflix Inc
NFLX
Netflix, Inc. is an American over-the-top content platform and production company headquartered in Los Gatos, California. Netflix was founded in 1997 by Reed Hastings and Marc Randolph in Scotts Valley, California. The company's primary business is a subscription-based streaming service offering online streaming from a library of films and television series, including those produced in-house.
How the rating is built: each factor's weight × signal is its contribution. The contributions add up to a raw score from −100 to +100, and the overall score is 50 plus half that sum. A factor with no data counts as neutral, so it neither helps nor hurts.
Fair Value
38% of score
How far today's price sits from the model's 6-month fair value estimate, ranked against companies of similar size.
-1.1% vs fair value (22nd pct of mega caps)
-21.2
Seasonal Forecast · 90d
25% of score
The seasonal price model projected 90 days out, as an expected return. It reads this stock's own price history and repeating calendar cycles — not company news, earnings, or business quality. Same model as the 30-day factor below, read at a longer horizon.
+2.8% expected
+4.7
Chart Signal
informational · no weight
A machine-learning classifier reading momentum and trend structure across daily and weekly price bars. Needs about 5 years of trading history. Shown for information only: it reads roughly five days ahead, shorter than the score's horizon, so it carries no weight in the AI Score.
+0.09
+0.0
Fundamentals
15% of score
Reported results, not projections: revenue growth, operating margin, and free cash flow measured against market value. Loss-making or cash-burning companies score negative here.
revenue +12%, margin 35%, FCF yield +4.1%
+10.0
P/E vs History
informational · no weight
Today's price-to-earnings against this company's own trailing average, in standard deviations. Needs positive earnings. Shown for information only: tested on ten years of history it did not improve the score, so it carries no weight.
P/E 18.9 vs 79.6 avg (-1.1σ)
+0.0
Analyst Consensus
10% of score
Wall Street consensus ratings, weighted by conviction.
consensus
+8.0
Seasonal Forecast · 30d
5% of score
The same seasonal price model as the 90-day factor above, read 30 days out. A near-term and a medium-term view of one forecast, which is why they can disagree.
-1.2% 30d
-0.6
Earnings Beat Streak
4% of score
How many quarters in a row this company has beaten analysts' earnings estimates. Four or more in a row counts fully; not beating the estimate last quarter counts against it.
2 straight beats
+0.0
Volatility
4% of score
An annualized volatility penalty. High volatility lowers the score; low volatility never raises it.
0.57 ann.
-2.4
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Cyclical regression model price trajectory and target range, updated each trading day.
Seasonality
Historical seasonal patterns across monthly and weekly windows to contextualize current timing.
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A full model-generated commentary covering signal rationale, valuation context, and risk flags.
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Questions about NFLX
Is NFLX overvalued or undervalued right now?
As of Oct 22, 2026, ŷRobot's fair-value model estimates Netflix Inc (NFLX) at $64.86 against a last close of $63.41, implying 2.3% upside to the model's estimate.
Is NFLX's chart signal bullish or bearish?
The chart-signal model classifies NFLX as Neutral as of Nov 6, 2026, with a signal score of 0.09 on a -1 to 1 scale.
What is NFLX's ŷRobot AI score?
NFLX scores 51 out of 100 on ŷRobot's AI composite, which measures how strongly the fair-value and chart models agree, as of Nov 6, 2026.
Is NFLX stock expensive on P/E and P/S?
NFLX trades at 18.8 times earnings and 5.4 times sales as of Nov 6, 2026.
What does NFLX's seasonal forecast show?
ŷRobot's seasonal forecast curve for NFLX reads -1.2% at 30 days, +2.7% at 90 days, and -2.5% at one year as of Nov 6, 2026. Seasonal tendencies are historical patterns, not predictions.
How fast is NFLX growing?
Netflix Inc's revenue growth is +12.3% and free-cash-flow growth is +5.8% on the latest reported figures.
What this is (and isn’t)
These outputs are generated by machine learning models trained on historical price, fundamental, and volume data. The models summarize historical data and current model outputs — they do not predict the future or constitute personalized investment advice. All figures are updated on a regular cadence and reflect the most recent available data at time of generation.
ŷRobot provides research and information, not personalized financial advice. Past performance is not a guarantee of future results.