# Annual income statements for Apple, Microsoft and Nvidia

**Use case:** 

Pulls the last five annual income statements, balance sheets and cash-flow statements for AAPL, MSFT and NVDA straight from SEC XBRL data, one row per company and fiscal period with revenue, net income, EPS, assets, liabilities and operating cash flow. Change the tickers to build a comparable-company table for any US-listed filers.

## Input

```json
{
  "mode": "financials",
  "identifiers": [
    "AAPL",
    "MSFT",
    "NVDA"
  ],
  "formTypes": [
    "10-K"
  ],
  "maxFilingsPerCompany": 5,
  "userAgentContact": "Insight Solutions austinhughhillis@gmail.com",
  "statements": [
    "income",
    "balance",
    "cashflow"
  ],
  "periodType": "annual",
  "maxPeriods": 5,
  "includeDocumentUrls": true,
  "maxRunSecs": 240
}
```

## Output

```json
{
  "companyName": {
    "label": "Company name",
    "format": "string"
  },
  "statement": {
    "label": "Statement",
    "format": "string"
  },
  "fiscalYear": {
    "label": "Fiscal year",
    "format": "integer"
  },
  "fiscalPeriod": {
    "label": "Fiscal period",
    "format": "string"
  },
  "periodEnd": {
    "label": "Period end",
    "format": "string"
  },
  "revenues": {
    "label": "Revenue",
    "format": "integer"
  },
  "netIncome": {
    "label": "Net income",
    "format": "integer"
  },
  "totalAssets": {
    "label": "Total assets",
    "format": "integer"
  },
  "stockholdersEquity": {
    "label": "Stockholders' equity",
    "format": "integer"
  },
  "operatingCashFlow": {
    "label": "Operating cash flow",
    "format": "integer"
  },
  "freeCashFlow": {
    "label": "Free cash flow",
    "format": "integer"
  },
  "eps": {
    "label": "Diluted EPS",
    "format": "number"
  }
}
```

## About this Actor

This example demonstrates how to use [SEC EDGAR API — Filings, XBRL Financials & Full-Text Search](https://apify.com/insight.solutions/sec-edgar-api.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/insight.solutions/sec-edgar-api.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/insight.solutions/sec-edgar-api.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`).