Overview

This dataset consists of details on daily used Tesla cars sold in United States from Tesla. Data fields include vin, year, model, color, miles, trim, sold price, interior, wheels, features, country, location, metro, state, currency, sold date.

Fields

• vin
• year
• model
• color
• miles
• trim
• sold_price
• interior
• wheels
• features
• country
• location
• metro
• state
• currency
• sold_date

Sample data from May 2022

Download Sample Dataset

Specifications

• Dataset Format: CSV (comma-separated)
• Update Frequency: Monthly
• Geographic coverage: US

Data Source

From tesla.com

Subscription

• Email

Support

You can reach us at support@saturndatacloud.com for any questions on the dataset.

About Saturn Data

Saturn Data provides data mining solutions from public sources to deliver insights for enterprises and the market. If you are interested in acquiring other datasets or customized data mining service, email us at info@saturndatacloud.com.

SpaceKnow uses satellite (SAR) data to capture activity in electric vehicles and automotive factories.

Data is updated daily, has an average lag of 4-6 days, and history back to 2017.

The insights provide you with level and change data that monitors the area which is covered with assembled light vehicles in square meters.

We offer 3 delivery options: CSV, API, and Insights Dashboard

Available companies Rivian (NASDAQ: RIVN) for employee parking, logistics, logistic centers, product distribution & product in the US. (See use-case write up on page 4) TESLA (NASDAQ: TSLA) indices for product, logistics & employee parking for Fremont, Nevada, Shanghai, Texas, Berlin, and Global level Lucid Motors (NASDAQ: LCID) for employee parking, logistics & product in US

Why get SpaceKnow's EV datasets?

Monitor the company’s business activity: Near-real-time insights into the business activities of Rivian allow users to better understand and anticipate the company’s performance.

Assess Risk: Use satellite activity data to assess the risks associated with investing in the company.

Types of Indices Available Continuous Feed Index (CFI) is a daily aggregation of the area of metallic objects in square meters. There are two types of CFI indices. The first one is CFI-R which gives you level data, so it shows how many square meters are covered by metallic objects (for example assembled cars). The second one is CFI-S which gives you change data, so it shows you how many square meters have changed within the locations between two consecutive satellite images.

How to interpret the data SpaceKnow indices can be compared with the related economic indicators or KPIs. If the economic indicator is in monthly terms, perform a 30-day rolling sum and pick the last day of the month to compare with the economic indicator. Each data point will reflect approximately the sum of the month. If the economic indicator is in quarterly terms, perform a 90-day rolling sum and pick the last day of the 90-day to compare with the economic indicator. Each data point will reflect approximately the sum of the quarter.

Product index This index monitors the area covered by manufactured cars. The larger the area covered by the assembled cars, the larger and faster the production of a particular facility. The index rises as production increases.

Product distribution index This index monitors the area covered by assembled cars that are ready for distribution. The index covers locations in the Rivian factory. The distribution is done via trucks and trains.

Employee parking index Like the previous index, this one indicates the area covered by cars, but those that belong to factory employees. This index is a good indicator of factory construction, closures, and capacity utilization. The index rises as more employees work in the factory.

Logistics index The index monitors the movement of materials supply trucks in particular car factories.

Logistics Centers index The index monitors the movement of supply trucks in warehouses.

Where the data comes from: SpaceKnow brings you information advantages by applying machine learning and AI algorithms to synthetic aperture radar and optical satellite imagery. The company’s infrastructure searches and downloads new imagery every day, and the computations of the data take place within less than 24 hours.

In contrast to traditional economic data, which are released in monthly and quarterly terms, SpaceKnow data is high-frequency and available daily. It is possible to observe the latest movements in the EV industry with just a 4-6 day lag, on average.

The EV data help you to estimate the performance of the EV sector and the business activity of the selected companies.

The backbone of SpaceKnow’s high-quality data is the locations from which data is extracted. All locations are thoroughly researched and validated by an in-house team of annotators and data analysts.

Each individual location is precisely defined so that the resulting data does not contain noise such as surrounding traffic or changing vegetation with the season.

We use radar imagery and our own algorithms, so the final indices are not devalued by weather conditions such as rain or heavy clouds.

→ Reach out to get a free trial

Use Case - Rivian:

SpaceKnow uses the quarterly production and delivery data of Rivian as a benchmark. Rivian targeted to produce 25,000 cars in 2022. To achieve this target, the company had to increase production by 45% by producing 10,683 cars in Q4. However the production was 10,020 and the target was slightly missed by reaching total production of 24,337 cars for FY22.

SpaceKnow indices help us to observe the company’s operations, and we are able to monitor if the company is set to meet its forecasts or not. We deliver five different indices for Rivian, and these indices observe logistic centers, employee parking lot, logistics, product, and prod...

This dataset contains information on various used Tesla cars available for purchase on the Tesla website in the United States. The data was collected through web scraping and provides detailed specifications and prices for different Tesla models.

Use Cases: Market Analysis: Explore market trends and preferences based on Tesla model, year, price, and other specifications. For example, you could analyze which models are most popular, which years are in highest demand, and which features are most important to buyers. You could also use the data to track changes in the market over time.
Price Comparison: Compare prices of different Tesla models with similar specifications, as well as prices of the same model in different locations. This information could be helpful for buyers who are looking to get the best deal on a used Tesla car.
Customer Insights: Understand customer preferences for specific Tesla models, years, features, and locations. This information could be used by Tesla to develop new products and services, and by dealerships to target their marketing and sales efforts.
Predictive Analytics: Develop machine learning models to predict used Tesla car prices. This information could be helpful for buyers and sellers alike, as it could help them to make more informed decisions about buying or selling a used Tesla car.

How many Tesla vehicles were delivered in 2025? Tesla's vehicle deliveries in the third quarter of 2025 amounted to around 497,120 units. Quarterly deliveries increased by around seven percent during the third quarter of 2025, compared with the third quarter of 2024. World's most valuable brand As of March 2025, Tesla was the most valuable brand within the global automotive sector. The brand was over double the brand value of Toyota, which was second in the ranking. April 2025 also recorded Tesla among the ten leading companies in the S&P 500 Index based on market capitalization, with a market cap around 798.1 billion U.S. dollars. Tesla enters the mainstream segment The initial rise in Tesla's market value was largely due to the release of its top-selling Model 3. The Model 3 was Tesla’s successful attempt to tap into the mainstream segment. By 2024, this Model consistently ranked among the world’s best-selling all-electric vehicle models, along with the bestseller Model Y. The Model 3 faces tough competition from other Tesla models, including the Model Y and the refreshed Model S Plaid.

United States Electric Vehicle Sales: Year to Date: Tesla: Tesla Cybertruck data was reported at 6,406.000 Unit in Mar 2025. This records a decrease from the previous number of 38,965.000 Unit for Dec 2024. United States Electric Vehicle Sales: Year to Date: Tesla: Tesla Cybertruck data is updated quarterly, averaging 11,558.000 Unit from Mar 2024 (Median) to Mar 2025, with 5 observations. The data reached an all-time high of 38,965.000 Unit in Dec 2024 and a record low of 2,803.000 Unit in Mar 2024. United States Electric Vehicle Sales: Year to Date: Tesla: Tesla Cybertruck data remains active status in CEIC and is reported by Cox Automotive. The data is categorized under Global Database’s United States – Table US.RA008: Electric Vehicle Sales: by Brand and Model: ytd.

United States Electric Vehicle Sales: Tesla: Tesla Model X data was reported at 3,843.000 Unit in Mar 2025. This records a decrease from the previous number of 4,340.000 Unit for Dec 2024. United States Electric Vehicle Sales: Tesla: Tesla Model X data is updated quarterly, averaging 6,098.000 Unit from Mar 2021 (Median) to Mar 2025, with 17 observations. The data reached an all-time high of 7,010.000 Unit in Jun 2023 and a record low of 3,338.000 Unit in Sep 2024. United States Electric Vehicle Sales: Tesla: Tesla Model X data remains active status in CEIC and is reported by Cox Automotive. The data is categorized under Global Database’s United States – Table US.RA007: Electric Vehicle Sales: by Brand and Model.

Revenue generated by Tesla increased to around **** billion U.S. dollars in the 2024 fiscal year, with the United States spearheading demand. The U.S. generated about **** billion U.S. dollars in revenue for Tesla, just over ***** percent of the overall total. This compares to revenue of approximately **** billion U.S. dollars from sales in China, the second-largest revenue generator. Tesla’s industry rankings In recent years, General Motors and Toyota held the highest percentage of market share among vehicle manufacturers in the United States. Despite holding only a small percentage of the market, Tesla excels within the electric vehicle segment. Tesla’s Model Y sold the largest number of all-electric vehicle units globally in 2024. Tesla company overview Tesla is an electric vehicle company that was founded in 2003 in the United States. The company also manages some energy generation and storage services for its consumers. Tesla’s electric vehicles are produced in Fremont, California in the United States. A large proportion of Tesla’s revenue streams is derived from automotive sales (excluding leasing). Tesla also invests in research and development: Tesla’s R&D expenses peaked in 2024.

Electric Vehicle Sales: Tesla: Tesla Model Y data was reported at 64,051.000 Unit in Mar 2025. This records a decrease from the previous number of 85,506.000 Unit for Dec 2024. Electric Vehicle Sales: Tesla: Tesla Model Y data is updated quarterly, averaging 71,358.000 Unit from Mar 2021 (Median) to Mar 2025, with 17 observations. The data reached an all-time high of 105,158.000 Unit in Jun 2023 and a record low of 37,700.000 Unit in Mar 2021. Electric Vehicle Sales: Tesla: Tesla Model Y data remains active status in CEIC and is reported by Cox Automotive. The data is categorized under Global Database’s United States – Table US.RA007: Electric Vehicle Sales: by Brand and Model.

A digital record of all Tesla fires - including cars and other products, e.g. Tesla MegaPacks - that are corroborated by news articles or confirmed primary sources. Latest version hosted at https://www.tesla-fire.com.

Context

Tesla, Inc. is an American company that manufactures and sells electric cars, as well as power storage and photovoltaic systems. The company's goal is to “accelerate the transition to sustainable energy”. The company name is based on the physicist and inventor Nikola Tesla.

Market cap

Market capitalization of Tesla (TSLA)

Market cap: $1.082 Trillion USD

As of February 2025 Tesla has a market cap of $1.082 Trillion USD. This makes Tesla the world's 9th most valuable company by market cap according to our data. The market capitalization, commonly called market cap, is the total market value of a publicly traded company's outstanding shares and is commonly used to measure how much a company is worth.

Revenue

Revenue for Tesla (TSLA)

Revenue in 2024 (TTM): $97.69 Billion USD

According to Tesla's latest financial reports the company's current revenue (TTM ) is $97.69 Billion USD. an increase over the revenue in the year 2023 that were of $96.77 Billion USD. The revenue is the total amount of income that a company generates by the sale of goods or services. Unlike with the earnings no expenses are subtracted.

Earnings

Earnings for Tesla (TSLA)

Earnings in 2024 (TTM): $9.34 Billion USD

According to Tesla's latest financial reports the company's current earnings are $97.69 Billion USD. a decrease over its 2023 earnings that were of $10.12 Billion USD. The earnings displayed on this page are the earnings before interest and taxes or simply EBIT.

End of Day market cap according to different sources

On Feb 12th, 2025 the market cap of Tesla was reported to be:

• $1.082 Trillion USD by Yahoo Finance

• $1.082 Trillion USD by CompaniesMarketCap

• $1.082 Trillion USD by Nasdaq

Content

Geography: USA

Time period: June 2010- February 2025

Unit of analysis: Tesla Stock Data 2025

Variables

Acknowledgements

This dataset belongs to me. I’m sharing it here for free. You may do with it as you wish.

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Electric Vehicle Sales: Tesla: Tesla Model 3 data was reported at 52,520.000 Unit in Mar 2025. This records a decrease from the previous number of 57,928.000 Unit for Dec 2024. Electric Vehicle Sales: Tesla: Tesla Model 3 data is updated quarterly, averaging 53,251.000 Unit from Mar 2021 (Median) to Mar 2025, with 17 observations. The data reached an all-time high of 58,423.000 Unit in Sep 2024 and a record low of 20,700.000 Unit in Mar 2021. Electric Vehicle Sales: Tesla: Tesla Model 3 data remains active status in CEIC and is reported by Cox Automotive. The data is categorized under Global Database’s United States – Table US.RA007: Electric Vehicle Sales: by Brand and Model.

This dataset contains annual data for Tesla, spanning 2010 through 2024. It includes three key variables:

Variable Units / Notes Year Calendar Year (2010 to 2024) Revenue (M USD) Tesla’s total annual revenue in millions of U.S. dollars R&D Expense (M USD) Tesla’s annual research & development expenditures, in millions of U.S. dollars Revenue Growth % Year-over-year percentage change in revenue

This data was compiled to analyze the relationship between R&D investment and Tesla’s revenue growth over time.

Source & Methodology Revenue and R&D expense figures were taken from Macrotrends, which collects historical financial data from public sources.

Annual Revenue: via the Macrotrends Tesla revenue page Annual R&D Expenses (and growth rates) from Macrotrends’ Tesla financial statements section

Growth rates were computed as: Revenue Growth %_t = ((Revenue_t - Revenue_{t-1}) / Revenue_{t-1}) * 100

The dataset begins in 2010 (rather than 2009) so that each growth rate has a prior-year reference. The first year (2010) has no growth value because there is no 2009 baseline in this version of the dataset.

Dataset Snapshot (2010–2024) Year Revenue (M USD) R&D Expense (M USD) Revenue Growth % 2010 117 93 — (first year) 2011 204 209 74.36% 2012 413 274 102.45% 2013 2,013 232 387.41% … … … … 2023 96,773 3,969 18.80% 2024 97,690 4,540 0.95%

Use Cases & Analysis Potential - Regression Analysis: Use R&D Expense as the independent variable and Revenue Growth % as the dependent variable to test correlation. - Time Series Trends: Visualize how Tesla’s R&D investment has scaled relative to revenue. - Diagnostic Checks: Test for lag effects, multicollinearity, heteroscedasticity, and structural breaks. - Robustness: Compare results using absolute Revenue instead of growth rates.

Notes & Limitations - Macrotrends aggregates data from public filings and financial databases; cross-check with Tesla’s 10-K filings for precision. - Growth % for 2010 is omitted due to lack of baseline (2009 not included). - Outliers (e.g., 2012 → 2013) may skew results; robust regression/log transformations recommended. - Limited sample size (15 observations, 2010–2024) may reduce statistical power.

How to Cite This Dataset “Tesla (2010–2024) annual revenue and R&D data were obtained from Macrotrends (https://www.macrotrends.net/stocks/charts/TSLA/tesla/revenue, https://www.macrotrends.net/stocks/charts/TSLA/tesla/financial-statements) and processed to compute year-over-year growth rates.”

United States Electric Vehicle Sales: Year to Date: Tesla: Tesla Model S data was reported at 1,280.000 Unit in Mar 2025. This records a decrease from the previous number of 12,426.000 Unit for Dec 2024. United States Electric Vehicle Sales: Year to Date: Tesla: Tesla Model S data is updated quarterly, averaging 10,803.000 Unit from Mar 2021 (Median) to Mar 2025, with 17 observations. The data reached an all-time high of 32,675.000 Unit in Dec 2022 and a record low of 1,280.000 Unit in Mar 2025. United States Electric Vehicle Sales: Year to Date: Tesla: Tesla Model S data remains active status in CEIC and is reported by Cox Automotive. The data is categorized under Global Database’s United States – Table US.RA008: Electric Vehicle Sales: by Brand and Model: ytd.

Electric Vehicle Sales: Audi: Audi e-tron data was reported at 250.000 Unit in Mar 2025. This records a decrease from the previous number of 828.000 Unit for Dec 2024. Electric Vehicle Sales: Audi: Audi e-tron data is updated quarterly, averaging 909.000 Unit from Mar 2021 (Median) to Mar 2025, with 17 observations. The data reached an all-time high of 4,777.000 Unit in Jun 2022 and a record low of 250.000 Unit in Mar 2025. Electric Vehicle Sales: Audi: Audi e-tron data remains active status in CEIC and is reported by Cox Automotive. The data is categorized under Global Database’s United States – Table US.RA007: Electric Vehicle Sales: by Brand and Model.

Stock Data of Top USA Companies: Apple, Tesla, Amazon

👨‍💻 Author: Azhar Saleem

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Dataset Description

This dataset provides daily stock data for some of the top companies in the USA stock market, including major players like Apple, Microsoft, Amazon, Tesla, and others. The data is collected from Yahoo Finance, covering each company’s historical data from its starting date until today. This comprehensive dataset enables in-depth analysis of key financial indicators and stock trends for each company, making it valuable for multiple applications.

Column Descriptions

The dataset contains the following columns, consistent across all companies:

• Date: The date of the stock data entry.
• Open: The stock's opening price for the day.
• High: The highest price reached during the trading day.
• Low: The lowest price during the trading day.
• Close: The stock’s closing price for the day.
• Volume: The total number of shares traded on that day.
• Dividends: Any dividends paid out on that day.
• Stock Splits: Records stock split events, if any, on that day.

Potential Use Cases

1. Machine Learning & Deep Learning:

   • Stock Price Prediction: Use historical prices to train models for forecasting future stock prices.
   • Sentiment Analysis and Price Correlation: Combine with external sentiment data to predict price movements based on market sentiment.
   • Anomaly Detection: Detect unusual price patterns or volume spikes using classification algorithms.

2. Data Science:

   • Trend Analysis: Identify long-term trends for each company or compare trends between companies.
   • Volatility Analysis: Calculate volatility to assess risk and return patterns over time.
   • Correlation Analysis: Compare stock performance across companies to study market relationships.

3. Data Analysis:

   • Historical Performance: Review historical data to understand growth trends, market impact of stock splits, and dividends.
   • Seasonal Patterns: Analyze data for seasonal trends or recurring patterns across years.
   • Investment Strategy Backtesting: Test various investment strategies based on historical data to assess potential profitability.

4. Financial Research:

   • Economic Impact Studies: Investigate how major events affected stock prices across top companies.
   • Sector-Specific Analysis: Identify performance differences across sectors, such as tech, healthcare, and retail.

This dataset is a powerful tool for analysts, researchers, and financial enthusiasts, offering versatility across multiple domains from stock analysis to algorithmic trading models.

Electric Vehicle Sales: Volvo: Volvo XC40 data was reported at 218.000 Unit in Mar 2025. This records a decrease from the previous number of 564.000 Unit for Dec 2024. Electric Vehicle Sales: Volvo: Volvo XC40 data is updated quarterly, averaging 1,172.500 Unit from Mar 2021 (Median) to Mar 2025, with 16 observations. The data reached an all-time high of 2,292.000 Unit in Dec 2023 and a record low of 216.000 Unit in Sep 2022. Electric Vehicle Sales: Volvo: Volvo XC40 data remains active status in CEIC and is reported by Cox Automotive. The data is categorized under Global Database’s United States – Table US.RA007: Electric Vehicle Sales: by Brand and Model.

United States Electric Vehicle Sales: Year to Date: Tesla data was reported at 128,100.000 Unit in Mar 2025. This records a decrease from the previous number of 633,762.000 Unit for Dec 2024. United States Electric Vehicle Sales: Year to Date: Tesla data is updated quarterly, averaging 304,451.000 Unit from Mar 2021 (Median) to Mar 2025, with 17 observations. The data reached an all-time high of 671,616.000 Unit in Dec 2023 and a record low of 69,300.000 Unit in Mar 2021. United States Electric Vehicle Sales: Year to Date: Tesla data remains active status in CEIC and is reported by Cox Automotive. The data is categorized under Global Database’s United States – Table US.RA008: Electric Vehicle Sales: by Brand and Model: ytd.

Electric Vehicle Sales: BMW: BMW i7 data was reported at 888.000 Unit in Mar 2025. This records a decrease from the previous number of 938.000 Unit for Dec 2024. Electric Vehicle Sales: BMW: BMW i7 data is updated quarterly, averaging 908.500 Unit from Dec 2022 (Median) to Mar 2025, with 10 observations. The data reached an all-time high of 1,565.000 Unit in Dec 2023 and a record low of 284.000 Unit in Dec 2022. Electric Vehicle Sales: BMW: BMW i7 data remains active status in CEIC and is reported by Cox Automotive. The data is categorized under Global Database’s United States – Table US.RA007: Electric Vehicle Sales: by Brand and Model.

Electric Vehicle Sales: Honda Prologue data was reported at 9,561.000 Unit in Mar 2025. This records a decrease from the previous number of 18,838.000 Unit for Dec 2024. Electric Vehicle Sales: Honda Prologue data is updated quarterly, averaging 9,561.000 Unit from Mar 2024 (Median) to Mar 2025, with 5 observations. The data reached an all-time high of 18,838.000 Unit in Dec 2024 and a record low of 19.000 Unit in Mar 2024. Electric Vehicle Sales: Honda Prologue data remains active status in CEIC and is reported by Cox Automotive. The data is categorized under Global Database’s United States – Table US.RA007: Electric Vehicle Sales: by Brand and Model.

This dataset encapsulates a detailed examination of market dynamics over a five-year period, focusing on the fluctuation of prices and trading volumes across a diversified portfolio. It covers various sectors including energy commodities like natural gas and crude oil, metals such as copper, platinum, silver, and gold, cryptocurrencies including Bitcoin and Ethereum, and key stock indices and companies like the S&P 500, Nasdaq 100, Apple, Tesla, Microsoft, Google, Nvidia, Berkshire Hathaway, Netflix, Amazon, and Meta Platforms. This dataset serves as a valuable resource for analyzing trends and patterns in global markets.

Date: The date of the recorded data, formatted as DD-MM-YYYY. Natural_Gas_Price: Price of natural gas in USD per million British thermal units (MMBtu). Natural_Gas_Vol.: Trading volume of natural gas Crude_oil_Price: Price of crude oil in USD per barrel. Crude_oil_Vol.: Trading volume of crude oil Copper_Price: Price of copper in USD per pound. Copper_Vol.: Trading volume of copper Bitcoin_Price: Price of Bitcoin in USD. Bitcoin_Vol.: Trading volume of Bitcoin Platinum_Price: Price of platinum in USD per troy ounce. Platinum_Vol.: Trading volume of platinum Ethereum_Price: Price of Ethereum in USD. Ethereum_Vol.: Trading volume of Ethereum S&P_500_Price: Price index of the S&P 500. Nasdaq_100_Price: Price index of the Nasdaq 100. Nasdaq_100_Vol.: Trading volume for the Nasdaq 100 index Apple_Price: Stock price of Apple Inc. in USD. Apple_Vol.: Trading volume of Apple Inc. stock Tesla_Price: Stock price of Tesla Inc. in USD. Tesla_Vol.: Trading volume of Tesla Inc. stock Microsoft_Price: Stock price of Microsoft Corporation in USD. Microsoft_Vol.: Trading volume of Microsoft Corporation stock Silver_Price: Price of silver in USD per troy ounce. Silver_Vol.: Trading volume of silver Google_Price: Stock price of Alphabet Inc. (Google) in USD. Google_Vol.: Trading volume of Alphabet Inc. stock Nvidia_Price: Stock price of Nvidia Corporation in USD. Nvidia_Vol.: Trading volume of Nvidia Corporation stock Berkshire_Price: Stock price of Berkshire Hathaway Inc. in USD. Berkshire_Vol.: Trading volume of Berkshire Hathaway Inc. stock Netflix_Price: Stock price of Netflix Inc. in USD. Netflix_Vol.: Trading volume of Netflix Inc. stock Amazon_Price: Stock price of Amazon.com Inc. in USD. Amazon_Vol.: Trading volume of Amazon.com Inc. stock Meta_Price: Stock price of Meta Platforms, Inc. (formerly Facebook) in USD. Meta_Vol.: Trading volume of Meta Platforms, Inc. stock Gold_Price: Price of gold in USD per troy ounce. Gold_Vol.: Trading volume of gold

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