Alphabet Inc Class A
GOOGL
Alphabet Inc. is an American multinational conglomerate headquartered in Mountain View, California. It was created through a restructuring of Google on October 2, 2015, and became the parent company of Google and several former Google subsidiaries. The two co-founders of Google remained as controlling shareholders, board members, and employees at Alphabet. Alphabet is the world's fourth-largest technology company by revenue and one of the world's most valuable companies.
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.
+0.9% vs fair value (31st pct of mega caps)
-14.0
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.
+4.9% expected
+8.1
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.
+0.10
+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 34%, FCF yield +0.6%
+7.7
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 14.7 vs 24.8 avg (-2.6σ)
+0.0
Analyst Consensus
10% of score
Wall Street consensus ratings, weighted by conviction.
consensus
+10.0
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.
+2.0% 30d
+1.0
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.
no beat last report
-3.8
Volatility
4% of score
An annualized volatility penalty. High volatility lowers the score; low volatility never raises it.
0.31 ann.
+0.0
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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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Questions about GOOGL
Is GOOGL overvalued or undervalued right now?
As of Oct 30, 2026, ŷRobot's fair-value model estimates Alphabet Inc Class A (GOOGL) at $285.07 against a last close of $284.78, implying 0.1% upside to the model's estimate.
Is GOOGL's chart signal bullish or bearish?
The chart-signal model classifies GOOGL as Neutral as of Nov 6, 2026, with a signal score of 0.10 on a -1 to 1 scale.
What is GOOGL's ŷRobot AI score?
GOOGL scores 50 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 GOOGL stock expensive on P/E and P/S?
GOOGL trades at 17.0 times earnings and 7.8 times sales as of Nov 6, 2026.
What does GOOGL's seasonal forecast show?
ŷRobot's seasonal forecast curve for GOOGL reads +1.4% at 30 days, +4.8% at 90 days, and +4.0% at one year as of Nov 6, 2026. Seasonal tendencies are historical patterns, not predictions.
How fast is GOOGL growing?
Alphabet Inc Class A's revenue growth is +12.0% and free-cash-flow growth is +4.0% 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.