Bosco LabsWhat were the top 20 US companies by operating cash flow in 2025?
Without filters the screen ranks every company that reported the sortBy metric for the period, here operating_cash_flow for CY2025, largest first. maxResults 20 returns the top 20, priced per company returned. Companies that file late or report the metric under an unusual tag may be missing, so treat the list as reported XBRL data rather than an official league table.
Tool input
{
"period": "CY2025",
"sortBy": "operating_cash_flow",
"maxResults": 20,
"tickersOnly": true
}Ask it from an AI agent (MCP)
Add the Apify MCP server with this tool to your MCP client (Claude, Cursor, VS Code, ...); it signs you in with OAuth or Authorization: Bearer <APIFY_TOKEN>. It works once the Actor is live on the Apify Store.
https://mcp.apify.com?tools=bosco_labs/sec-company-screenThen ask:
Use the bosco_labs/sec-company-screen tool to answer: What were the top 20 US companies by operating cash flow in 2025?Call the Apify API
Runs the Actor and returns the rows in one request, billed to your Apify account ($0.002 per company returned). It works once the Actor is live on the Apify Store.
curl https://api.apify.com/v2/acts/bosco_labs~sec-company-screen/run-sync-get-dataset-items \
-H "Authorization: Bearer $APIFY_TOKEN" \
-H "Content-Type: application/json" \
-d '{"period": "CY2025", "sortBy": "operating_cash_flow", "maxResults": 20, "tickersOnly": true}'Call the Bosco Labs HTTP API
Bosco Labs HTTP API (beta, test mode): same input and rows, $0.002 per company returned from prepaid credits. Get a key with a $0.50 free trial.
curl https://api.boscolabs.dev/v1/sec-company-screen \
-H "Authorization: Bearer $BOSCO_API_KEY" \
-H "Content-Type: application/json" \
-d '{"period": "CY2025", "sortBy": "operating_cash_flow", "maxResults": 20, "tickersOnly": true}'Example output
Example output from the tool's documentation (not a run of this exact question).
[
{
"schema_version": "1",
"ticker": "AAPL",
"cik": "0000320193",
"company_name": "Apple Inc.",
"period": "CY2025",
"period_start": "2024-09-29",
"period_end": "2025-09-27",
"currency": "USD",
"revenue": 416161000000,
"net_margin": 0.2692,
"net_income": 112010000000,
"sources": {
"revenue": {
"tag": "us-gaap:RevenueFromContractWithCustomerExcludingAssessedTax",
"accession": "0000320193-26-000026",
"url": "https://www.sec.gov/Archives/edgar/data/320193/000032019326000026/0000320193-26-000026-index.htm"
},
"net_income": {
"tag": "us-gaap:NetIncomeLoss",
"accession": "0000320193-26-000026",
"url": "https://www.sec.gov/Archives/edgar/data/320193/000032019326000026/0000320193-26-000026-index.htm"
},
"net_margin": {
"derived": "net_income / revenue"
}
},
"warnings": [],
"retrieved_at": "2026-11-05T22:18:21+00:00"
},
{
"schema_version": "1",
"ticker": "JPM",
"cik": "0000019617",
"company_name": "JPMorgan Chase & Co",
"period": "CY2025",
"period_start": "2025-01-01",
"period_end": "2025-12-31",
"currency": "USD",
"revenue": 182447000000,
"net_margin": 0.3127,
"net_income": 57048000000,
"sources": {
"revenue": {
"tag": "us-gaap:Revenues",
"accession": "0001628280-26-008131",
"url": "https://www.sec.gov/Archives/edgar/data/19617/000162828026008131/0001628280-26-008131-index.htm"
},
"net_income": {
"tag": "us-gaap:NetIncomeLoss",
"accession": "0001628280-26-008131",
"url": "https://www.sec.gov/Archives/edgar/data/19617/000162828026008131/0001628280-26-008131-index.htm"
},
"net_margin": {
"derived": "net_income / revenue"
}
},
"warnings": [
"net_income: 57000000000 from filing 0000019617-26-000096 (not a 10-K/10-Q) replaced by 57048000000 from 0001628280-26-008131"
],
"retrieved_at": "2026-11-05T22:18:21+00:00"
}
]