Oracle Corporation
ORCL
Oracle is an American multinational computer technology corporation headquartered in Austin, Texas. The company was formerly headquartered in Redwood Shores, California until December 2020 when it moved its headquarters to Texas. The company sells database software and technology, cloud engineered systems, and enterprise software products, particularly its own brands of database management systems.
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.
+40.5% vs fair value (93rd pct of mega caps)
+32.5
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.
-4.1% expected
-6.8
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.
+0.04
+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 +10%, margin 36%, FCF yield -7.7%
+2.2
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 15.4 vs 17.9 avg (-0.4σ)
+0.0
Analyst Consensus
10% of score
Wall Street consensus ratings, weighted by conviction.
consensus
+9.5
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.
-2.2% 30d
-1.1
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.
4 straight beats
+3.8
Volatility
4% of score
An annualized volatility penalty. High volatility lowers the score; low volatility never raises it.
0.40 ann.
-0.5
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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 ORCL
Is ORCL overvalued or undervalued right now?
As of Oct 2, 2026, ŷRobot's fair-value model estimates Oracle Corporation (ORCL) at $161.80 against a last close of $116.01, implying 39.5% upside to the model's estimate.
Is ORCL's chart signal bullish or bearish?
The chart-signal model classifies ORCL as Neutral as of Nov 6, 2026, with a signal score of 0.05 on a -1 to 1 scale.
What is ORCL's ŷRobot AI score?
ORCL scores 66 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 ORCL stock expensive on P/E and P/S?
ORCL trades at 21.6 times earnings and 5.8 times sales as of Nov 6, 2026.
What does ORCL's seasonal forecast show?
ŷRobot's seasonal forecast curve for ORCL reads -0.6% at 30 days, -3.5% at 90 days, and +7.9% at one year as of Nov 6, 2026. Seasonal tendencies are historical patterns, not predictions.
How fast is ORCL growing?
Oracle Corporation's revenue growth is +10.0% and free-cash-flow growth is -10.1% 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.