🚀 IPO Tracker — Recent + Upcoming IPOs, Lockup Expirations

The institutional-grade IPO desk on tap. Real-time IPO calendar for NYSE and NASDAQ — recent priced IPOs, upcoming scheduled IPOs, and newly filed S-1 / F-1 registration statements — with deal pricing, share counts, post-money valuations, lead underwriters, lockup expiration dates, and post-IPO performance for already-trading names. Built for IPO desk analysts, prop traders, IPO arbitrage funds, lockup-expiration arbitrageurs, and fintech apps that surface fresh IPO opportunities to retail.

This is the actor a Bloomberg IPO desk seat (BWPO<GO>) costs $24k/yr to access. Pay-per-result on Apify — no seat, no contract, no minimum.

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Why a dedicated IPO actor (and not just a stock screener)

IPOs are a distinct asset class with their own data model. A generic equity screener fails them three ways:

1. No deal economics. Recent stock price ≠ IPO price. You need the deal size, shares offered, midpoint of the marketed price range, post-pricing valuation, and the implied first-day pop. None of those fields exist on a stock screener.
2. No lifecycle status. An IPO moves through four states — filing (S-1 / F-1 just filed with the SEC) → upcoming (priced or scheduled, not yet trading) → priced (priced today, opens any minute) → trading (already trading post-IPO, performance accruing). Each state has different traders watching it: ECM bankers watch filings, IPO subscribers watch upcomings, day traders watch priced, lockup arbs watch trading.
3. No lockup-expiration field. This is the single most valuable IPO data point after deal size. Insiders, VC funds, and pre-IPO employees are contractually locked out of selling for 180 days post-IPO. Lockup expiration day is the single most-traded event in IPO arbitrage. A stock screener gives you a current price; this actor gives you the expiration date so you can build the short-vol straddle, the borrow-and-short, or the put-spread weeks in advance.

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What you get

A unified IPO record stream, one record per IPO event:

{
  "symbol": "CBRS",
  "company_name": "Cerebras Systems Inc.",
  "ipo_date": "2026-05-14",
  "ipo_status": "upcoming",
  "ipo_price": 120.00,
  "ipo_price_low": 115.00,
  "ipo_price_high": 125.00,
  "shares_offered": 28000000,
  "proceeds_usd": 3360000000.00,
  "valuation_usd": 25560000000.00,
  "trailing_revenue_usd": 509990000.00,
  "lead_underwriters": [],
  "exchange": "NASDAQ",
  "sector": "Technology",
  "industry": null,
  "current_price": null,
  "current_market_cap_usd": null,
  "gain_loss_from_ipo_price_pct": null,
  "lockup_expiration_date": "2026-11-10",
  "lockup_days": 180,
  "filing_date": null,
  "prospectus_url": "https://www.sec.gov/cgi-bin/browse-edgar?...",
  "is_spac": false,
  "stockanalysis_url": "https://stockanalysis.com/stocks/cbrs/",
  "data_source": "stockanalysis_calendar"
}

That gives you everything to:

• Build an IPO subscription / allocation tracker
• Compute first-day pop heat-maps (current_price vs ipo_price)
• Pre-build short books for lockup-expiration day (lockup_expiration_date 60-90 days out)
• Run sector-tilt analytics (Tech vs Biotech IPO cadence)
• Power a fintech "fresh IPOs" feed for retail brokerage apps
• Feed an ECM desk's daily filings comp screen

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Lifecycle states explained

ipo_status	Meaning	Typical buyer
filing	S-1 / F-1 just filed with SEC. No price yet, no date yet.	ECM analysts, sell-side bankers, IPO Boutique
upcoming	Priced or scheduled IPO. Has price range + date. Not yet trading.	IPO desk allocators, retail subscription apps
priced	Priced today. Opens for trading any minute.	Day traders, first-day pop speculators
trading	Already IPO'd. Public market data available.	Lockup arbs, lockup short-sellers, momentum funds

The actor returns all four states in a single pull. Filter by status to narrow.

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Input filters

Input	Type	Description
limit	integer	Max records to return (0 = all, typically 250+).
status	enum	all / upcoming / priced / trading / filing
date_range	enum	all / last_30d / last_90d / last_180d / upcoming
min_proceeds_usd	integer	Filter out small deals. Use $100M for institutional IPOs, $1B for mega IPOs.
exchange	enum	all / NYSE / NASDAQ / AMEX / OTC
sector	enum	All 11 GICS sectors
exclude_spacs	boolean	Strip blank-check / acquisition-corp names

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Use cases for institutional capital

IPO desk analysts

Daily fresh pull of upcoming IPOs + recent filings. Sort by sector, deal size, lead underwriter. Replace your manual Renaissance Capital / IPO Boutique workflow with a JSON feed you can pipe into Snowflake / BigQuery.

Lockup expiration arbitrageurs

This is where the actor pays for itself ten times over. Every record has lockup_expiration_date computed as ipo_date + 180 days (or pulled from the source when available). Run a query for IPOs with lockup_expiration_date between now and now+30 days, cross-reference with current short interest, and you have your watch list. The trade: when 180-day lockup expires, insider supply hits the market and stocks typically drop 1-3% on heavy volume. Pre-position short, or sell weekly calls into the event.

IPO arbitrage funds

Subscribe to allocated IPOs at the IPO price, sell into the first-day pop. The actor surfaces ipo_price vs current_price for every recent IPO so you can compute the realized pop distribution, build base rates, and size your next allocation.

Fintech apps surfacing IPOs to retail

Power "Upcoming IPOs This Week" feeds on Robinhood-style apps. The actor's upcoming status filter combined with date_range: upcoming gives you a clean retail-facing list, refreshed daily.

Prop traders

First-day-pop dispersion trading. Recent IPOs with gain_loss_from_ipo_price_pct give you cohort statistics for sizing your next IPO debut play.

Pre-IPO funding round backfill

Combine with our Startup Funding Tracker (sister actor) to chain a private company's full lifecycle — from Series B funding through S-1 filing through priced IPO. This is the only fully-linked private-to-public data pipeline on Apify.

ECM bankers / corporate development

Daily monitor of competitive filings. New S-1 filed in your sector? You see it in your next morning pull, no Bloomberg seat required.

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Pricing — pay per IPO record

Event	Cost
Actor start	$0.01
Per IPO record returned	$0.50

A 5-record smoke test costs $2.51 total. A daily 50-record IPO pull costs $25.01/day or roughly $9,100/year — about 38% of a single Bloomberg Terminal seat, with full programmatic access and zero seat licensing.

IPO records are priced higher ($0.50/record) than our regional stock screener records ($0.25/record) because each IPO is a discrete, high-value event signal. A single lockup-expiration date can drive a 5-figure trade; a single new S-1 filing can trigger a 6-figure long-short pair construction. We anchor the price to the event value, not the data byte count.

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Data sources & reliability

1. stockanalysis.com IPO calendar (primary) — clean server-rendered HTML tables. The recent IPOs table contains ~200 trailing IPOs with prices, current quotes, and post-IPO performance. The upcoming calendar has full deal detail (price range, shares offered, deal size, post-money valuation, trailing revenue). The filings table has 400+ newly filed S-1 / F-1 registrations.
2. NASDAQ IPO calendar (cross-reference) — JSON endpoints used for symbol + date validation when ambiguity arises.
3. SEC EDGAR full-text search (prospectus links) — every record carries a deterministic SEC EDGAR search URL so you can drop straight into the prospectus / S-1 / 424B4 filing without a separate lookup.
4. Computed lockup expiration — when not present in the primary source, we compute lockup as ipo_date + 180 calendar days. This is the SEC-customary lockup window for the overwhelming majority of US IPOs. If your strategy is sensitive to the exact lockup terms (some IPOs run 90-day, 270-day, or staggered releases), cross-reference the prospectus_url field.

The actor is resilient to single-source outages — if stockanalysis.com returns 4xx/5xx for one of the three tables, the other two still emit records.

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How to run

Apify Console — paste your filter inputs, hit Run, download the dataset as JSON or CSV.

Apify API (Python):

from apify_client import ApifyClient
client = ApifyClient("YOUR_TOKEN")
run = client.actor("nexgendata/ipo-tracker").call(run_input={
    "limit": 50,
    "status": "upcoming",
    "date_range": "upcoming",
    "min_proceeds_usd": 100000000,
    "exchange": "all",
})
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item["symbol"], item["company_name"], item["ipo_date"],
          item["proceeds_usd"], item["valuation_usd"], item["lockup_expiration_date"])

Schedule it — pair with an Apify scheduled task. Daily 06:30 ET (pre-market) gives you a fresh IPO calendar snapshot every trading day; or trigger weekly Friday post-close for a clean weekly summary.

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FAQ

How fresh is the data? stockanalysis.com refreshes its IPO calendar within minutes of NYSE / NASDAQ tape updates. Run the actor every 1-4 hours during market hours to stay current.

Does it cover SPACs? Yes, included by default. Toggle exclude_spacs: true to strip "Acquisition Corp" / "Capital Acquisition" / "blank check" entries — useful for operational-IPO analytics where SPAC noise distorts averages.

What about international IPOs (LSE, HKEX, TSX)? Not in this actor — US listings only (NYSE / NASDAQ / AMEX). For HKEX IPOs use our HKEX Hang Seng Stock Screener; for TSX, our TSX Canada screener. London IPOs are on our roadmap.

What about direct listings and SPAC mergers (de-SPACs)? Direct listings (Spotify, Slack, Coinbase) are included with ipo_status: trading and proceeds_usd: 0 (no primary capital raised). De-SPAC business combinations are flagged via is_spac: true on the SPAC vehicle side.

How accurate is the computed lockup_expiration_date? Default 180-day SEC-customary window is accurate for ~85% of US IPOs. The remaining 15% include staggered releases (e.g., 25% at 90 days, 75% at 180 days) and longer windows (270 days for some biotech and SPAC PIPEs). For trade execution, always cross-reference the prospectus.

Can I get the lead underwriters? Currently lead_underwriters is emitted but typically empty in the primary source feed. We're adding underwriter enrichment via SEC EDGAR S-1 cover-page parsing in v0.1. For now, click the prospectus_url to pull underwriters from the deal prospectus directly.

Can I get history (e.g., 2024 IPO performance)? Not yet — the actor returns the trailing ~6 month rolling window from stockanalysis.com. For historical IPO datasets, contact us about a custom data pipeline.

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Built by NexGenData

We build data infrastructure for global equity desks. 220+ actors live on Apify covering US, China, Hong Kong, Japan, Korea, India, Brazil, MENA, ASEAN, and emerging markets. IPO data complements our broader US-equity stack — combine this actor with our Finviz screener, SEC filings trackers, and institutional holdings actors to build a fully connected pre-IPO-through-post-IPO data pipeline.

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Explore the NexGenData Equity Data Suite

This actor is part of NexGenData's global equity data fleet. IPOs sit at the intersection of private and public markets — pair the IPO Tracker with NexGenData's pre-IPO funding tracker, US equity screener, and SEC institutional-holdings trackers to build a fully connected lifecycle pipeline:

Pre-IPO and private capital

• 🔗 Startup Funding Tracker — Pre-IPO funding rounds (Series A → late-stage). Natural complement: chain a company's full lifecycle from seed through S-1 through priced IPO.

Public equity peers

• 🔗 Chinese ADRs Stock Screener — US-listed Chinese companies (NYSE / NASDAQ ADRs). Many recent IPOs are Chinese ADRs — chase the post-IPO performance here.
• 🔗 Finviz Stock Screener — US equity (NYSE / NASDAQ / AMEX) with 70+ filters. Cross-reference recent IPOs against the broader US universe.

Post-IPO institutional intelligence

• 🔗 SEC Form 13F Holdings Tracker — Quarterly institutional positions. Watch which hedge funds are loading up on freshly-IPO'd names.
• 🔗 SEC Schedule 13D/G Activist Tracker — 5%+ activist positions. Critical for detecting activist accumulation in post-lockup IPOs.

Multi-asset / specialty

• 🔗 Finance MCP Server — Unified Model Context Protocol server exposing the full NexGenData equity fleet to Claude, Cursor & MCP-aware LLMs.

Browse the full NexGenData catalog

→ See all 220+ NexGenData actors at apify.com/nexgendata — equity screeners across 25+ markets, IPO + pre-IPO trackers, SEC filings, institutional holdings, B2B intelligence, MCP servers, and more.

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Why NexGenData vs. paid alternatives

Tool	Annual cost	API access	IPO coverage
Bloomberg Terminal (BWPO <GO>)	~$24,000/seat	Limited	Global
FactSet IPO Monitor	~$15,000/seat	Paid add-on	Global
Refinitiv Eikon ECM	~$22,000/seat	Paid add-on	Global
Renaissance Capital IPO	~$9,000/seat	None	US
NexGenData IPO Tracker	Pay-per-result	Native	US (NYSE + NASDAQ)

Run this actor once per day for an institutional IPO desk workflow (~50 records/day, 250 trading days/year) and your annual cost is approximately $9,100 — a 60-95% discount vs. the major paid alternatives, with no seat licensing, no minimum commitment, and full programmatic access via Apify's REST API or any of 1,500+ MCP / no-code integrations.

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Built and maintained by NexGenData — institutional-grade equity, IPO, SEC filings, and B2B data infrastructure on Apify.