TSLACONSUMER CYCLICALFree preview

Tesla Inc

Last close: $367.81Last updated: Sep 9, 2026

TSLA

— Tesla Inc

INDUSTRY:AUTO MANUFACTURERS
SECTOR:CONSUMER CYCLICAL

Tesla, Inc. is an American electric vehicle and clean energy company based in Palo Alto, California. Tesla's current products include electric cars, battery energy storage from home to grid-scale, solar panels and solar roof tiles, as well as other related products and services. In 2020, Tesla had the highest sales in the plug-in and battery electric passenger car segments, capturing 16% of the plug-in market (which includes plug-in hybrids) and 23% of the battery-electric (purely electric) market. Through its subsidiary Tesla Energy, the company develops and is a major installer of solar photovoltaic energy generation systems in the United States. Tesla Energy is also one of the largest global suppliers of battery energy storage systems, with 3 GWh of battery storage supplied in 2020.

OVERALL AI RATING

65/100

BULLISH

77% confidence · 8 of 8 factors

Higher when more factors have data and they agree with each other.

Bullish outlook primarily supported by strong seasonal tailwinds.

FUNDAMENTALS OUTLOOK

53

/100

Neutral

+2% vs the model's 6-month fair value; ranks in the top 50% of mega caps by model upside.

Valuation against the model's 6-month target, reported financials, P/E versus this company's own history, and analyst consensus.

Fair Value

weight 0.3

+1.5% vs fair value (50th pct of mega caps)

Fundamentals

weight 0.12

revenue +4%, margin 1%, FCF yield +0.4%

P/E vs History

weight 0.08

P/E 211.4 vs 173.1 avg (+0.4σ)

Analyst Consensus

weight 0.08

consensus

SEASONALITY OUTLOOK

100

/100

Strong

Exceptional seasonal history with expected return of +43.7%.

The seasonal price model at both scored horizons.

Seasonal Forecast · 90d

weight 0.2

+46.3% expected

Seasonal Forecast · 30d

weight 0.04

+43.7% 30d

TECHNICAL OUTLOOK

18

/100

Weak

Neutral market momentum and balanced indicators.

The volatility penalty. The chart classifier's short-horizon read is shown for reference but no longer weighs on the score.

Chart Signal

informational · no weight

-0.00

Volatility

weight 0.03

0.57 ann.

How the rating is built — each factor's weight × signal contributes to the composite; the contributions sum to the overall score. A factor with no data counts as neutral, so it neither helps nor hurts.

Fair Value

weight 0.3

How far today's price sits from the model's 6-month fair value estimate, ranked against companies of similar size.

+1.5% vs fair value (50th pct of mega caps)

+0.0

Seasonal Forecast · 90d

weight 0.2

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.

+46.3% expected

+23.5

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.

-0.00

+0.0

Fundamentals

weight 0.12

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 +4%, margin 1%, FCF yield +0.4%

+1.4

P/E vs History

weight 0.08

Today's price-to-earnings against this company's own trailing average, in standard deviations. Needs positive earnings.

P/E 211.4 vs 173.1 avg (+0.4σ)

-1.8

Analyst Consensus

weight 0.08

Wall Street consensus ratings, weighted by conviction.

consensus

+4.3

Seasonal Forecast · 30d

weight 0.04

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.

+43.7% 30d

+4.7

Volatility

weight 0.03

An annualized volatility penalty. High volatility lowers the score; low volatility never raises it.

0.57 ann.

-2.2

Methodology & trust

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.