# SEC EDGAR API – Company Financials, 10-K Data & Filings (`ram1eal/sec-company-financials`) Actor

Annual financials of any SEC-reporting company from official EDGAR XBRL: revenue, profit, margins, cash flow, assets and debt for up to 15 years, normalised across years, plus profile and latest 10-K, 10-Q and 8-K filings. By ticker or name.

- **URL**: https://apify.com/ram1eal/sec-company-financials.md
- **Developed by:** [Hiếu Trần Quang](https://apify.com/ram1eal) (community)
- **Categories:** Business, AI, Developer tools
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $3.60 / 1,000 companies

This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.
Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have.

Learn more: https://docs.apify.com/actors/running/actors-in-store.md#pay-per-event

## What's an Apify Actor?

An Actor is a serverless cloud program that runs on the Apify platform. It has two run modes.
In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours,
and optionally produces a well-defined JSON output, datasets with results, or files in key-value store.
In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server.

Apify vocabulary and the platform model are defined once, in the agent quickstart at https://apify.com/agents.md.

## How to integrate an Actor?

If asked about integration, you help developers integrate Actors into their projects.
You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready.

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 examples already wired to this Actor's own input schema, see the [API](#api) section below.

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`).

# README

## SEC EDGAR API – Company Financials, 10-K Data & Filings

Clean **annual financials for any SEC-reporting company** – straight from official **EDGAR XBRL** data: **revenue, gross profit, operating and net income, EPS, cash flow, free cash flow, assets, liabilities, equity and cash** for up to 15 years, with **growth and margins**, the **company profile** and its **latest 10-K, 10-Q and 8-K filings**. Look up by **ticker, CIK or name**.

### Why this one

- **Normalised across years.** Companies rename XBRL tags (Apple moved from `SalesRevenueNet` to `Revenues` to `RevenueFromContractWithCustomer…`); every year is filled from the right tag, restatements included.
- **US GAAP and IFRS.** Foreign filers (20-F/40-F) in their reporting currency, with the latest revenue converted to USD.
- **Spreadsheet-ready.** Latest year flattened into columns (revenue, net income, margins, growth…), full history in `financials`.
- **Filings monitor.** "Only companies with new filings" turns a watchlist into a daily 10-K / 10-Q / 8-K alert feed.
- **Official and free of licence worries.** SEC data is public domain; requests follow SEC fair-access rules.

### Compared with alternatives

|                                        | This Actor                           | Typical alternatives |
| -------------------------------------- | ------------------------------------ | -------------------- |
| Tag changes across years handled       | Yes (one revenue series per company) | Raw XBRL facts       |
| US GAAP and IFRS (20-F)                | Both, with USD conversion            | US GAAP only         |
| Spreadsheet-ready latest year + ratios | Yes                                  | Nested JSON          |
| Filings monitor                        | Only companies with new filings      | No                   |

### What you get

**Profile:** CIK, name, tickers, exchanges, SIC code and industry, filer category, state of incorporation, fiscal year end, EIN, LEI, phone, business address, former names.

**Latest fiscal year:** fiscal year, period end, currency, revenue, gross profit, operating income, net income, diluted EPS, operating cash flow, free cash flow, total assets, total liabilities, equity, cash, shares outstanding, revenue growth %, gross / operating / net margin %, revenue in USD (non-USD filers).

**History:** `financials` – one entry per fiscal year with the same figures.

**Filings:** form, filing date, report date, description, accession number and document URL.

### Sample output

```json
{
  "cik": "0000320193",
  "name": "Apple Inc.",
  "tickers": ["AAPL"],
  "industry": "Electronic Computers",
  "fiscalYear": 2025,
  "periodEnd": "2025-09-27",
  "currency": "USD",
  "revenue": 416161000000,
  "netIncome": 112010000000,
  "epsDiluted": 7.46,
  "revenueGrowthPercent": 6.4,
  "netMarginPercent": 26.9,
  "latestFilingForm": "10-Q",
  "financials": [
    { "fiscalYear": 2025, "revenue": 416161000000, "netIncome": 112010000000 },
    { "fiscalYear": 2024, "revenue": 391035000000, "netIncome": 93736000000 }
  ]
}
```

### How to use

1. Enter tickers, CIK numbers or company names (one per line).
2. Choose how many years of history you need.
3. Click Start – or schedule it with "only companies with new filings" for a filings monitor.

### Use cases

- **Investment research & screening:** revenue growth and margins across peers.
- **Financial models & dashboards:** multi-year fundamentals without manual 10-K reading.
- **AI agents:** "How fast did Shopify grow last year?" via the Apify MCP server.
- **Credit & KYB:** profile, EIN, address and financial size of US-listed counterparties.
- **Filings alerts:** daily 8-K/10-Q/10-K feed for a watchlist.

### Pricing

Pay per company, everything included:

| Apify plan | Per 1,000 companies | Per run |
| ---------- | ------------------- | ------- |
| Free       | $5.00               | $0.005  |
| Starter    | $4.60               | $0.005  |
| Scale      | $4.20               | $0.005  |
| Business   | $3.60               | $0.005  |

### Cost examples

- S\&P 500 fundamentals: $2.50
- Daily filings watchlist of 50 companies: cents per day

### Use it from code, n8n or AI agents

Run it from the Apify API, the Python or JavaScript client, n8n, Make or Zapier – or let an AI agent call it through the **Apify MCP server** (Claude, ChatGPT, Cursor).

```python
from apify_client import ApifyClient

client = ApifyClient("<YOUR_APIFY_TOKEN>")
run = client.actor("ram1eal/sec-company-financials").call(run_input={"companies":["AAPL","MSFT"],"yearsOfHistory":5})
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item)
```

```javascript
import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: '<YOUR_APIFY_TOKEN>' });
const run = await client
  .actor('ram1eal/sec-company-financials')
  .call({ companies: ['AAPL', 'MSFT'], yearsOfHistory: 5 });
const { items } = await client.dataset(run.defaultDatasetId).listItems();
```

**MCP:** add `ram1eal/sec-company-financials` to the Apify MCP server and ask in plain English – the agent fills the input and pays per result.

### Data sourcing & compliance

- Official SEC EDGAR APIs (`data.sec.gov` company facts and submissions, `company_tickers.json`). U.S. government data – public domain.
- SEC fair-access rules respected: declared User-Agent, under 10 requests per second.
- Companies only: EDGAR records of individuals (insiders filing Forms 3/4/5) are never returned.

### FAQ

- **Why is a figure missing?** Not every company reports every concept in XBRL (banks have no gross profit, for example).
- **Quarterly numbers?** This version returns annual figures; recent 10-Qs are listed in filings.
- **What if something breaks?** Open an issue – typical response under 12 hours.

### More tools from this author

- [Startup Funding Rounds – Crunchbase Alternative (SEC Form D)](https://apify.com/ram1eal/startup-funding-rounds) – US startups raising money, daily from SEC Form D
- [Companies House API & Company Registry – UK, France, LEI](https://apify.com/ram1eal/company-registry-search) – UK Companies House, France SIRENE & LEI search with a KYB risk score
- [SAM.gov & USAspending – US Federal Contracts & Awards](https://apify.com/ram1eal/us-federal-contracts) – new US federal contract awards and SAM.gov opportunities
- [Public Tenders – EU TED & UK Find a Tender Procurement](https://apify.com/ram1eal/public-tenders-search) – EU TED & UK Find a Tender notices with daily alerts
- [WHOIS Lookup & Domain Checker – Age, DNS, Email, SSL](https://apify.com/ram1eal/domain-intelligence) – bulk WHOIS: domain age, DNS, email provider, SSL and risk
- [Shopify Scraper – Products, Prices, Stock & Price Monitor](https://apify.com/ram1eal/shopify-store-products) – any Shopify store: products, prices, stock, price-drop alerts
- [Tech Stack Detector – BuiltWith & Wappalyzer Alternative](https://apify.com/ram1eal/website-tech-stack) – 3,500+ technologies per website, plus the email provider
- [Impressum Scraper – German Company Data, HRB & VAT Check](https://apify.com/ram1eal/company-imprint) – German/Austrian/Swiss company data from the Impressum, VAT checked
- [Contact Info Scraper – Company Emails, Phones & Socials](https://apify.com/ram1eal/company-contact-finder) – company e-mails, phones and social profiles, GDPR-safe

### Input reference

| Field            | Type    | Default       | Description                                |
| ---------------- | ------- | ------------- | ------------------------------------------ |
| `companies`      | array   | –             | Tickers, CIKs or company names             |
| `yearsOfHistory` | integer | 5             | Fiscal years per company (1–15)            |
| `maxItems`       | integer | 1000          | Maximum companies                          |
| `onlyNew`        | boolean | false         | Only companies with new filings or figures |
| `includeFilings` | boolean | true          | List recent filings                        |
| `filingForms`    | array   | 10-K, 10-Q, … | Filing types to list                       |
| `maxFilings`     | integer | 10            | Filings per company                        |
| `stateKey`       | string  | –             | History name for only-changed mode         |

### Changelog

- 0.1 – Profile, normalised annual financials (US GAAP + IFRS), ratios, filings, only-changed monitoring.

# Actor input Schema

## `companies` (type: `array`):

Tickers (AAPL), CIK numbers (320193) or company names (Microsoft), one per line. Covers every company that files with the SEC, including foreign filers (20-F).

## `yearsOfHistory` (type: `integer`):

Annual financial statements to return per company (most recent first).

## `maxItems` (type: `integer`):

Stop after this many companies. You pay per company.

## `onlyNew` (type: `boolean`):

For monitoring: return (and pay for) only companies with a new filing or new financial figures since your previous run with the same list.

## `includeFilings` (type: `boolean`):

Latest filings with form type, dates, description and a link to the document.

## `filingForms` (type: `array`):

Which forms to list (amendments included). Leave the default for annual, quarterly, current and registration reports.

## `maxFilings` (type: `integer`):

How many recent filings to list per company.

## `stateKey` (type: `string`):

Runs with the same history name share what was already delivered. Leave empty to use one history per list.

## Actor input object example

```json
{
  "companies": [
    "AAPL",
    "MSFT",
    "JPM",
    "TSM"
  ],
  "yearsOfHistory": 5,
  "maxItems": 100,
  "onlyNew": false,
  "includeFilings": true,
  "filingForms": [
    "10-K",
    "10-Q",
    "8-K",
    "20-F",
    "6-K",
    "40-F",
    "S-1",
    "DEF 14A"
  ],
  "maxFilings": 10
}
```

# Actor output Schema

## `results` (type: `string`):

One record per company: CIK, tickers, exchanges, industry (SIC), address, fiscal year end; latest revenue, gross profit, operating and net income, EPS, cash flow, free cash flow, assets, liabilities, equity, cash, shares outstanding, growth and margins; yearly history; recent filings with links.

## `runSummary` (type: `string`):

JSON summary of the run: requests, companies delivered and charged, unchanged companies skipped (only-changed mode) and error counts.

# API

You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup.

## JavaScript example

```javascript
import { ApifyClient } from 'apify-client';

// Initialize the ApifyClient with your Apify API token
// Replace the '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_TOKEN>',
});

// Prepare Actor input
const input = {
    "companies": [
        "AAPL",
        "MSFT",
        "JPM",
        "TSM"
    ],
    "maxItems": 100
};

// Run the Actor and wait for it to finish
const run = await client.actor("ram1eal/sec-company-financials").call(input);

// Fetch and print Actor results from the run's dataset (if any)
console.log('Results from dataset');
console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
const { items } = await client.dataset(run.defaultDatasetId).listItems();
items.forEach((item) => {
    console.dir(item);
});

// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs

```

## Python example

```python
from apify_client import ApifyClient

# Initialize the ApifyClient with your Apify API token
# Replace '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# Prepare the Actor input
run_input = {
    "companies": [
        "AAPL",
        "MSFT",
        "JPM",
        "TSM",
    ],
    "maxItems": 100,
}

# Run the Actor and wait for it to finish
run = client.actor("ram1eal/sec-company-financials").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")
for item in client.dataset(run.default_dataset_id).iterate_items():
    print(item)

# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

```

## CLI example

```bash
echo '{
  "companies": [
    "AAPL",
    "MSFT",
    "JPM",
    "TSM"
  ],
  "maxItems": 100
}' |
apify call ram1eal/sec-company-financials --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,ram1eal/sec-company-financials"
        }
    }
}
```

The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer <APIFY_API_TOKEN>` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations).

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/Pa2VNjwqAtm5sXc2O/builds/HfMNRpabGxrfFi2PZ/openapi.json