Earnings Calendar

Track upcoming earnings report dates from SEC EDGAR, parsed into clean JSON. Built for analysts, funds, fintech builders and AI agents. Factual public SEC/EDGAR data — not financial or investment advice. Not affiliated with the U.S. SEC.

📊 Sample Output

company_name	earnings_date	fiscal_period	fiscal_quarter_ending_raw	market_cap_usd	nasdaq_url
Abivax SA	2026-09-21	Q2 2026	Jun/2026	8104078300	https://www.nasdaq.com/market-activity/stocks/abvx/earnings
AnaptysBio, Inc.	2026-09-21	Q2 2026	Jun/2026	1503222530	https://www.nasdaq.com/market-activity/stocks/anab/earnings
Ennis, Inc.	2026-09-21	Q3 2026	Aug/2026	559344770	https://www.nasdaq.com/market-activity/stocks/ebf/earnings
Bloomia Holdings, Inc.	2026-09-21	Q2 2026	Jun/2026	15314159	https://www.nasdaq.com/market-activity/stocks/tulp/earnings
AutoZone, Inc.	2026-09-22	Q3 2026	Aug/2026	46418534000	https://www.nasdaq.com/market-activity/stocks/azo/earnings
Thor Industries, Inc.	2026-09-22	Q3 2026	Jul/2026	3732234500	https://www.nasdaq.com/market-activity/stocks/tho/earnings

Real rows from run gqLdBAkMHs84Pg0EM on build 0.0.6 (2026-09-25), unedited apart from masked emails/phones and shortened long text; fields the source does not publish are empty.

🔧 Input reference

Field	Type	Default	What it does
limit	integer	50	Maximum number of earnings records to return. Set to 0 to return all matching records (typically 200+ on a busy reporting day during peak earnings season). Useful for testing smal…
date_range	string (today, this_week, next_week, this_month, all)	"this_week"	Time window for earnings dates. 'today' = just today's reports (BMO and AMC). 'this_week' = Monday through Friday of the current trading week — the standard 'earnings week' view.…
min_market_cap_billion	number	0	Minimum market capitalization filter in USD billions. Use 10 to filter for large-cap names ($10B+). Use 50 for mega-cap. Use 1 for mid-cap and up. Set to 0 to include all sizes —…
sector	string (all, Technology, Healthcare, Financial Services, Consumer Discretionary, Consumer Staples, Industrials, Energy, …)	"all"	Filter by GICS-style sector. 'all' returns every sector — earnings season weeks are concentrated in Technology, Financial Services, and Healthcare. Useful for sector-rotation stra…
with_estimates_only	boolean	false	If true, filters out names where no consensus EPS estimate is available (typically uncovered micro-caps, dual-listed ADRs without US analyst coverage, or newly-public IPOs pre-cov…
hydrate_surprises	boolean	true	If true, makes one extra per-symbol API call to fetch the most-recent reported EPS, consensus, and surprise percentage (the 'last earnings reaction' field). Adds ~0.5–1s per recor…

🧾 JSON sample record

One real record from run gqLdBAkMHs84Pg0EM (emails/phones masked, long text shortened):

{
  "symbol": "ABVX",
  "company_name": "Abivax SA",
  "sector": null,
  "earnings_date": "2026-09-21",
  "time_of_day": null,
  "fiscal_period": "Q2 2026",
  "fiscal_quarter_ending_raw": "Jun/2026",
  "consensus_eps_estimate": -1.08,
  "consensus_revenue_estimate_usd": null,
  "n_analysts": 2,
  "prior_period_eps": null,
  "eps_growth_yoy_pct": null,
  "market_cap_usd": 8104078300,
  "prior_year_report_date": null,
  "last_eps_actual": -1.71,
  "last_eps_consensus": -1.08,
  "last_eps_surprise_pct": -58.33,
  "last_reported_date": "9/21/2026",
  "last_quarter_period": "Jun 2026",
  "actual_eps": -1.71,
  "eps_surprise_pct": -58.33,
  "actual_revenue_usd": null,
  "revenue_surprise_pct": null,
  "stock_reaction_1d_pct": null,
  "nasdaq_url": "https://www.nasdaq.com/market-activity/stocks/abvx/earnings",
  "stockanalysis_url": "https://stockanalysis.com/stocks/abvx/",
  "data_source": "nasdaq_earnings_calendar"
}

💰 Pricing

Event	Price (USD)	When it is charged
Actor Start (apify-actor-start)	$0.01	Charged when the Actor starts running. Number of events charged depends on Actor memory (one event per GB, minimum one event).
Earnings record (apify-default-dataset-item)	$0.05	Charged per upcoming earnings record with date, EPS estimate, revenue estimate, fiscal period, market cap, and prior-period surprise data.

Pay-per-event: you pay only for what the run delivers. A run that delivers nothing bills no result events (only the actor-start event, when the actor defines one). Example: a run that delivers 100 results costs 100 × $0.05 = $5.00 plus the start fee.

🔗 Related Actors

More from the NexGenData SEC & US filings family:

• Analyst Price Targets — Consensus & Ratings API
• China A-Share Insider Trades — 高管持股变动 API
• Dividend Aristocrats Tracker — 25+ Year Raisers API
• Earnings Estimate Revisions Tracker — EPS Changes API
• Earnings Call Transcripts — Parsed Q&A & Metrics API
• ETF Holdings Tracker — Daily Constituents & Weights API

48 more in this family on the NexGenData Store page.

📊 What you get

Clean JSON, one record per record. Key fields (full output has 27 fields):

• company_name — Company / filer name
• market_cap_usd — USD value
• n_analysts — Analyst consensus Every record carries a direct sec.gov source link.

Pricing: $0.05 per record (Pay-Per-Event) — about 20 records per $1.

🤖 Use with AI agents

Structured, source-linked SEC data built for LLM and agent pipelines — point Claude, the OpenAI Agents SDK, an n8n flow or any MCP-aware client at it and pull upcoming earnings report dates on demand.

Sample agent prompt:

List companies reporting earnings next week with dates and estimates.

Agentic payments (x402): Supports agentic payment via x402 — agents can call this actor with USDC, no API key required.

⏰ Run on a schedule

The recurring frame is the point — schedule a daily or weekly pull:

{
  "limit": 50
}

🔗 Related SEC actors

More EDGAR core trackers: EDGAR Filings Scraper, EDGAR Search, Filings RAG Markdown, Earnings Transcripts

Agent front doors: SEC Corporate Events MCP, Regulatory Filings MCP

Earnings toolkit: Earnings Calendar, EPS Estimate Revisions, Analyst Price Targets, Earnings Transcripts

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Data parsed from public SEC EDGAR filings. Factual public SEC/EDGAR data — not financial or investment advice. Not affiliated with the U.S. SEC.