# SEC EDGAR Company Profile: Financials and Filings (`agent-harbor-llc/sec-edgar-company-profile`) Actor Ticker or CIK in, one EDGAR company profile out: name, SIC industry, exchange, latest annual XBRL financials (revenue, net income, EPS, assets, equity, cash, shares) with source filings, and recent filings with 8-K item titles. Pay per company; not-found is free. - **URL**: https://apify.com/agent-harbor-llc/sec-edgar-company-profile.md - **Developed by:** [Agent Harbor LLC](https://apify.com/agent-harbor-llc) (community) - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $10.00 / 1,000 company profile returneds This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events. 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 Company Profile: Financials and Filings Ticker or CIK in, one EDGAR company profile out: name, SIC industry, exchange, latest annual XBRL financials (revenue, net income, EPS, assets, equity, cash, shares) with source filings, and recent filings with 8-K item titles. Pay per company; not-found is free. ### What you get Given a U.S.-listed company's stock ticker or SEC CIK, returns its EDGAR profile (legal name, tickers, exchanges, SIC industry, state of incorporation, fiscal year end), its latest annual financials from XBRL (revenue, operating and net income, diluted EPS, assets, liabilities, equity, cash, shares outstanding, each with period and source filing) and its recent filings with 8-K item titles and document links. Companies only. Not charged if not found. ### Input - `tickers` (Tickers or CIKs): Stock tickers (AAPL) or SEC CIK numbers (320193). Up to 200 per run. You pay only for companies returned. - `filings` (Recent filings to list): How many recent filings to include per company (0-25). - `forms` (Form filter): Optional comma-separated form types, e.g. 10-K,8-K. ### Example output (real run) ```json { "company": { "cik": 320193, "name": "Apple Inc.", "tickers": [ "AAPL" ], "exchanges": [ "Nasdaq" ], "sic": "3571", "sic_description": "Electronic Computers", "entity_type": "operating", "filer_category": "Large accelerated filer", "state_of_incorporation": "CA", "fiscal_year_end": "0926", "website": null, "business_address": { "city": "CUPERTINO", "state_or_country": "CA", "zip": "95014" }, "former_names": [ { "name": "APPLE INC", "from": "2007-01-10", "to": "2019-08-05" }, { "name": "APPLE COMPUTER INC", "from": "1994-01-26", "to": "2007-01-04" }, { "name": "APPLE COMPUTER INC/ FA", "from": "1997-07-28", "to": "1997-07-28" } ], "edgar_url": "https://www.sec.gov/cgi-bin/browse-edgar?action=getcompany&CIK=0000320193" }, "financials": { "revenue": { "value": 416161000000, "unit": "USD", "concept": "us-gaap:RevenueFromContractWithCustomerExcludingAssessedTax", "period_end": "2025-09-27", "fiscal_year": 2025, "form": "10-K", "filed": "2025-10-31", "accession_number": "0000320193-25-000079", "period_start": "2024-09-29" }, "operating_income": { "value": 133050000000, "unit": "USD", "concept": "us-gaap:OperatingIncomeLoss", "period_end": "2025-09-27", "fiscal_year": 2025, "form": "10-K", "filed": "2025-10-31", "accession_number": "0000320193-25-000079", "period_start": "2024-09-29" }, "net_income": { "value": 112010000000, "unit": "USD", "concept": "us-gaap:NetIncomeLoss", "period_end": "2025-09-27", "fiscal_year": 2025, "form": "10-K", "filed": "2025-10-31", "accession_number": "0000320193-25-000079", "period_start": "2024-09-29" }, "eps_diluted": { "value": 7.46, "unit": "USD/shares", "concept": "us-gaap:EarningsPerShareDiluted", "period_end": "2025-09-27", "fiscal_year": 2025, "form": "10-K", "filed": "2025-10-31", "accession_number": "0000320193-25-000079", "period_start": "2024-09-29" }, "total_assets": { "value": 359241000000, "unit": "USD", "concept": "us-gaap:Assets", "period_end": "2025-09-27", "fiscal_year": 2025, "form": "10-K", "filed": "2025-10-31", "accession_number": "0000320193-25-000079" }, "total_liabilities": { "value": 285508000000, "unit": "USD", "concept": "us-gaap:Liabilities", "period_end": "2025-09-27", "fiscal_year": 2025, "form": "10-K", "filed": "2025-10-31", "accession_number": "0000320193-25-000079" }, "stockholders_equity": { "value": 73733000000, "unit": "USD", "concept": "us-gaap:StockholdersEquity", "period_end": "2025-09-27 ... ``` ### Sources and attribution SEC EDGAR, public domain. Not investment advice. ### Pricing Pay per event: **$0.01 per company** (event `company-profile`). Inputs that fail, are not found or hit a source outage are saved as `not_charged` rows and cost nothing. Set a maximum charge on the run and the Actor stops there. ### About Built by [Agent Harbor LLC](https://agentharbor.agency). The same lookup is available to AI agents pay-per-call over x402 (USDC on Base) at https://x402.agentharbor.agency. # Actor input Schema ## `tickers` (type: `array`): Stock tickers (AAPL) or SEC CIK numbers (320193). Up to 200 per run. You pay only for companies returned. ## `filings` (type: `integer`): How many recent filings to include per company (0-25). ## `forms` (type: `string`): Optional comma-separated form types, e.g. 10-K,8-K. ## Actor input object example ```json { "tickers": [ "AAPL", "MSFT" ], "filings": 10 } ``` # Actor output Schema ## `overview` (type: `string`): Summary table of the run's results (one row per input). ## `results` (type: `string`): Every field of every dataset row, as JSON. # API You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup. ## JavaScript example ```javascript import { ApifyClient } from 'apify-client'; // Initialize the ApifyClient with your Apify API token // Replace the '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = { "tickers": [ "AAPL", "MSFT" ] }; // Run the Actor and wait for it to finish const run = await client.actor("agent-harbor-llc/sec-edgar-company-profile").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${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 '' with your token. client = ApifyClient("") # Prepare the Actor input run_input = { "tickers": [ "AAPL", "MSFT", ] } # Run the Actor and wait for it to finish run = client.actor("agent-harbor-llc/sec-edgar-company-profile").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 '{ "tickers": [ "AAPL", "MSFT" ] }' | apify call agent-harbor-llc/sec-edgar-company-profile --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "type": "http", "url": "https://mcp.apify.com/?tools=fetch-actor-details,agent-harbor-llc/sec-edgar-company-profile" } } } ``` 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 ` 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/oUzZsh99nihk2qdBe/builds/17VbjzJTFbaBn0JKY/openapi.json