# Tesla Revenue and Net Income History — SEC XBRL

**Use case:** 

Ten years of Tesla's annual revenue, net income and diluted EPS as reported in its 10-K filings, from SEC XBRL company facts: period start and end, value, unit, fiscal year, filing date and accession number. For investors, analysts and finance students. Swap the ticker, add metrics such as GrossProfit or Assets, or switch periodTypes to quarter.

## Input

```json
{
  "mode": "facts",
  "tickers": [
    "TSLA"
  ],
  "metricPreset": "custom",
  "metrics": [
    "Revenues",
    "NetIncomeLoss",
    "EarningsPerShareDiluted"
  ],
  "periods": 10,
  "form": "10-K",
  "periodTypes": [
    "annual"
  ],
  "includeAmendments": true,
  "taxonomy": "auto",
  "currency": "auto",
  "unit": "USD",
  "excludeSuspected": false,
  "maxItems": 50
}
```

## Output

```json
{
  "ticker": {
    "label": "Ticker",
    "format": "string"
  },
  "company": {
    "label": "Company",
    "format": "string"
  },
  "metric": {
    "label": "Metric",
    "format": "string"
  },
  "metricResolved": {
    "label": "Concept used",
    "format": "string"
  },
  "periodType": {
    "label": "Period type",
    "format": "string"
  },
  "start": {
    "label": "Period start",
    "format": "string"
  },
  "end": {
    "label": "Period end",
    "format": "string"
  },
  "value": {
    "label": "Value",
    "format": "number"
  },
  "unit": {
    "label": "Unit",
    "format": "string"
  },
  "form": {
    "label": "Form",
    "format": "string"
  },
  "filed": {
    "label": "Filed",
    "format": "string"
  },
  "frame": {
    "label": "SEC frame",
    "format": "string"
  },
  "suspectedReportingError": {
    "label": "Suspected error",
    "format": "boolean"
  }
}
```

## How it works

### 1. Sign up on Apify or log in

The SEC Company Financials Scraper — Revenue, Net Income, EPS Actor is ready to run with the inputs already set for "Tesla Revenue and Net Income History — SEC XBRL". [Sign up or log in](https://console.apify.com/create-task-from-example/knlSqx7plUOf8bB3s) and you'll land in Apify Console with a copy of this exact task.

### 2. Start the "Tesla Revenue and Net Income History — SEC XBRL" task

The SEC Company Financials Scraper — Revenue, Net Income, EPS Actor will start running based on the input automatically. You can also change all the input fields, like mode, tickers or ciks, and more, to match your specific use case.

### 3. Receive the "Tesla Revenue and Net Income History — SEC XBRL" output

Monitor the progress in real time. You will be notified as soon as your dataset is complete and ready for review. Each result includes data such as ticker, company, metric, and more.

### 4. Integrate into your workflow

The final output is delivered in JSON, CSV, or Excel format, ready to be plugged into your workflow. You can also [run the "Tesla Revenue and Net Income History — SEC XBRL" task via API](https://apify.com/yadroo/sec-company-financials.md).

## About this Actor

This example demonstrates how to use [SEC Company Financials Scraper — Revenue, Net Income, EPS](https://apify.com/yadroo/sec-company-financials.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/yadroo/sec-company-financials.md) to learn more, explore other use cases, and run it yourself.


## How to integrate an Actor?

This Task's input is already configured above. Use it as-is rather than inventing a new one.

Do not guess an integration path. Every one of them is in the agent quickstart at https://apify.com/agents.md: the Apify MCP server, Agent Skills with the Apify CLI, the JavaScript and Python clients, the REST API, and the account-free path for an agent with no human to sign in. It also carries the rule on stating cost before the first paid run.

For full API examples (JavaScript, Python, CLI, MCP, OpenAPI), see this Task's Actor page: https://apify.com/yadroo/sec-company-financials.md

Each client library has reference documentation the quickstart does not restate: [JavaScript/TypeScript](https://docs.apify.com/api/client/js/docs.md) (`npm install apify-client`) and [Python](https://docs.apify.com/api/client/python/docs.md) (`pip install apify-client`).