🔀 Corporate Actions — Splits, Spinoffs, M&A, Tender Offers

Bloomberg corporate-actions desk alternative. Pay-per-result tracking of upcoming and recent stock splits, reverse splits, special dividends, spinoffs, mergers, acquisitions, and tender offers. Built for special-situations desks, M&A arbitrage funds, corporate finance teams, and retail traders following the calendar of structural events that move single names independently of macro.

📊 Sample Output

Corporate actions are where the alpha hides for special-situations capital. A 10-for-1 split announcement can compress option premium for weeks. A spinoff distribution creates a brand-new ticker with no analyst coverage. An announced merger trades to a deal spread you can model directly. A reverse split is often a delisting precursor. This actor surfaces every one of those events in a single typed dataset row — with the deal value, consideration mechanics, status, and effective date that you need to build a position.

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What this actor returns

For every corporate action in coverage, a typed record:

Field	Meaning
symbol	Primary common-share ticker of the issuer
company_name	Legal entity name
sector	GICS-style sector label when known
action_type	Stock Split / Reverse Split / Special Dividend / Spinoff / Merger / Acquisition / Tender Offer
ratio	E.g. 10-for-1, 1-for-20 (reverse), 3-for-2; null for non-splits
current_price	Live price snapshot from Yahoo Finance for the issuer
market_cap_usd	Market cap (USD) at announcement; useful for filtering large-cap vs penny stock
effective_date	Split effective / ex-distribution / deal-close date (ISO-8601)
announcement_date	Date the action was publicly announced (often 8-K filing date)
target_company	M&A target name (for Merger, Acquisition, Tender Offer)
acquirer	M&A acquirer name
deal_value_usd	Total transaction value (M&A) or aggregate cash distributed (special div)
consideration	Free-text breakdown — $X cash, $X cash + Y shares, all-stock ratios
status	Announced / Approved / Completed / Cancelled / Pending Shareholder Vote
days_to_effective	Computed days from today to effective_date (negative = past)
data_source	Provenance — curated baseline, SEC EDGAR 8-K, or both

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Why corporate actions desks pay for this

User	Job-to-be-done
Special situations desk	Build a calendar of upcoming splits, spinoffs, and reorganizations to front-run index reweights
M&A arbitrage fund	Track every announced deal — measure spread vs. deal value daily, monitor status for breakages
Spinoff fund (Greenblatt-style)	Pre-build positions in distributing parents before ex-distribution; pick up forced-sellers' "stub" newco shares
Corporate finance / IR	Watch peers' splits, special divs, buybacks for benchmarking board recommendations
Index arb / passive trader	Anticipate index rebalances triggered by share-count changes from splits and spinoffs
Retail trader	Avoid getting reverse-split out of a position; spot the next NVDA-style 10-for-1 catalyst
Quant strategy researcher	Backtest "post-split drift" and "spinoff alpha" signals with a clean, structured dataset
Options market maker	Mark vol surfaces accurately when the underlying is about to split or be cash-acquired

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How it works

The actor combines three signals:

1. SEC EDGAR full-text search of 8-K filings. Six parallel queries scan the trailing 90 days of 8-K filings for the phrases "stock split", "reverse stock split", "special dividend", "spin-off", "merger agreement", and "tender offer". Each hit is deduplicated to issuer level and tagged with the matched action type. This is the freshest signal — most material corporate actions are 8-K-disclosable, so we catch them within hours of announcement.
2. Curated baseline of publicly-announced corporate actions. Anchored on the high-profile, well-documented names that special-situations capital actually trades: NVDA 10-for-1, WMT 3-for-1, AVGO 10-for-1, CMG 50-for-1, LRCX 10-for-1, MELI 2-for-1, ASML 3-for-1, GE Vernova spinoff, Solventum spinoff, Veralto spinoff, Western Digital / Sandisk separation, Costco $15 special, Phillips 66 $1.00 special, Microsoft / Activision, Cisco / Splunk, Synopsys / ANSYS, Chevron / Hess, Exxon / Pioneer, HPE / Juniper, Skydance / Paramount, Tapestry / Capri, Alaska / Hawaiian. Plus the small-cap reverse-split tape (MULN, FFIE, BFLY, NKLA, PLUG) where the action signal often anticipates a delisting risk.
3. Yahoo Finance — query1.finance.yahoo.com/v8/finance/chart/{symbol} returns the live regularMarketPrice for every survivor, so current_price is timely rather than stale.

The curated baseline guarantees a non-empty result even when SEC EDGAR throttles or returns a 4xx; the EDGAR layer enriches the result with brand-new announcements the curated list hasn't yet been refreshed to include.

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Input

Field	Type	Default	Description
limit	int	50	Max records to return (1–500)
action_types	array	[] (all)	Filter by one or more of Stock Split, Reverse Split, Special Dividend, Spinoff, Merger, Acquisition, Tender Offer
date_range	enum	all	upcoming / recent_30d / recent_90d / all — window over effective_date
min_market_cap_billion	number	0	Issuer market-cap floor in USD billions (0 disables)
sector	string	""	Case-insensitive substring match against the sector field

Example inputs

Every announced M&A deal still pending close (the deal-arb worklist):

{ "action_types": ["Merger", "Acquisition"], "date_range": "upcoming", "limit": 100 }

Upcoming forward splits, large-caps only (index rebalance front-running):

{ "action_types": ["Stock Split"], "min_market_cap_billion": 10, "date_range": "upcoming" }

Reverse splits in the last 30 days (delisting-watch screen):

{ "action_types": ["Reverse Split"], "date_range": "recent_30d", "limit": 100 }

Spinoffs only, all dates (Greenblatt setup):

{ "action_types": ["Spinoff"], "date_range": "all" }

Healthcare-sector special dividends:

{ "action_types": ["Special Dividend"], "sector": "Healthcare" }

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Pricing

Pay-per-event. You pay only for what is delivered.

Event	Price
Actor start	$0.01 (one-time per run)
Corporate action record	$0.15 per record returned

Worked examples:

• 25 records returned: $0.01 + 25 × $0.15 = $3.76
• 100 records returned: $0.01 + 100 × $0.15 = $15.01
• 500 records (max): $0.01 + 500 × $0.15 = $75.01

At $0.15/record, the actor sits in the mid-premium tier of NexGenData's catalog — anchored to the fact that every record encodes a discrete, dated, often-actionable trading signal with deal value, consideration, and status all in one row.

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Comparison vs. institutional terminals

Capability	This actor	Bloomberg CAEV	FactSet	Refinitiv DataScope	S&P Capital IQ	Mergermarket
Splits & reverse splits	✅	✅	✅	✅	✅	❌
Spinoffs	✅	✅	✅	✅	✅	partial
Special dividends	✅	✅	✅	✅	✅	❌
Announced M&A with deal value	✅	✅	✅	✅	✅	✅
Tender offers	✅	✅	✅	✅	✅	✅
Consideration breakdown (cash/stock)	✅	✅	✅	✅	✅	✅
Status tracking (Announced/Approved/Cancelled)	✅	✅	✅	✅	✅	✅
Effective-date computed days_to_effective	✅	✅	partial	partial	❌	❌
Live price snapshot	✅	✅	✅	✅	✅	❌
API access	✅ REST	✅ B-API	✅ FQL	✅ DSO	✅ Xpressfeed	❌
Setup cost	$0	$24K+/year/seat	$12K+/year/seat	$20K+/year	$30K+/year	$14K+/year
Per-record cost	$0.15	bundled in seat	bundled in seat	bundled in seat	bundled in seat	bundled in seat
Time to first data	<60s	weeks	weeks	weeks	weeks	weeks
Contract / minimum	None	annual + LOB	annual	annual	annual	annual

For a special-situations desk that just wants to monitor the live M&A pipeline and the splits/spinoffs calendar without committing to a six-figure terminal contract, pay-per-record at $0.15 wins on every dimension that matters: latency, friction, and elasticity.

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Status semantics

Status values are the same vocabulary deal-arb desks already use:

• Announced — definitive agreement or board-approved announcement has been made; deal terms are public, but no shareholder vote yet.
• Pending Shareholder Vote — proxy filed; vote scheduled.
• Approved — shareholder vote has cleared, awaiting regulatory close.
• Completed — action has been effective; security has split, spun off, or been acquired.
• Cancelled — definitive agreement terminated (e.g. Tapestry/Capri).

For splits and spinoffs the same vocabulary applies — Announced (board has approved subject to record date), Approved (record date set), Completed (effective date passed).

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Data freshness & limits

• SEC EDGAR layer refreshes every run — typical hit latency from 8-K filing to actor record is minutes-to-hours.
• Curated baseline is versioned with the actor — refreshes ship with each new build.
• Yahoo Finance prices are best-effort; throttling occasionally drops current_price to null, but every other field still ships.

The actor is rate-friendly: ≤6 concurrent Yahoo requests per run, gentle SEC user agent, and graceful fallback when any one source 4xx/5xxs.

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Sister actors in the NexGenData special-situations stack

This actor is one piece of a larger event-driven toolkit. The natural pairings:

• IPO Tracker — recent + upcoming IPOs across NYSE/NASDAQ with lockup expirations and post-IPO performance. Pair with this actor to follow a company from S-1 → IPO → first split/spinoff/M&A event.
• SPAC Tracker — active SPACs with trust values, deadlines, announced mergers, redemption rates. SPACs that complete a de-SPAC merger become tickers that this corporate-actions actor then tracks for follow-on splits and spinoffs.
• SEC Form 8-K Material Events Scraper — full 8-K corpus with item-level tagging. Corporate Actions Tracker is a tightly-typed projection of the M&A/restructuring slice of 8-K; the 8-K scraper gives you the rest (Item 1.01 entry into agreement, Item 2.01 completion of acquisition, Item 5.07 vote results).
• SEC Form 13F Holdings Tracker — quarterly institutional positions. Cross-reference whose 13F shows fresh accumulation in a name right before its split or spinoff.
• Short Interest Tracker — bi-weekly NYSE/NASDAQ short interest. Tracks the squeeze setups around announced M&A breakages and reverse-split forced-buying.
• Finance MCP Server — Claude/ChatGPT-native MCP wrapping the entire NexGenData finance stack including this actor. Ask in natural language: "show me every upcoming spinoff with market cap over $5B."

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API quickstart

TOKEN=apify_api_xxxxxxxxxxxxxxxxxxxxxxxxxxxxx

curl -X POST "https://api.apify.com/v2/acts/nexgendata~corporate-actions-tracker/run-sync-get-dataset-items?token=$TOKEN" \
  -H "Content-Type: application/json" \
  -d '{
    "limit": 50,
    "action_types": ["Merger", "Acquisition"],
    "date_range": "upcoming",
    "min_market_cap_billion": 1.0
  }'

Output is a JSON array of records as documented above. Add ?format=csv to pipe directly into a spreadsheet, or use the Apify Python / JS SDK clients.

from apify_client import ApifyClient

client = ApifyClient("apify_api_xxxxxxxxxxxxxxxxxxxxxxxxxxxxx")
run = client.actor("nexgendata/corporate-actions-tracker").call(
    run_input={"action_types": ["Spinoff"], "date_range": "upcoming"}
)
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item["symbol"], item["action_type"], item["effective_date"], item["consideration"])

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FAQ

Are the prices and deal values guaranteed accurate?
The curated baseline references public 8-K filings and press releases — accurate at point of capture. Live prices come from Yahoo Finance, which is reliable but not authoritative; for trade execution you should always reconcile against your prime broker's data. The actor's job is signal discovery, not order routing.

How do I get only the freshest announcements?
Filter date_range="upcoming" and sort the dataset by announcement_date descending. The data_source field will show sec_edgar_8k for records that came directly from the live EDGAR query.

Can I run this on a schedule?
Yes — every Apify actor supports cron-style schedules. A daily 6am run with action_types=["Merger","Acquisition","Spinoff"] and date_range="recent_30d" gives you a fresh deal-arb worklist every morning for less than $5/day.

What if a company announces a corporate action that's not in the curated baseline?
The EDGAR layer will surface it as soon as the 8-K is filed. The curated baseline gets refreshed in each new actor build (subscribe to the Apify build feed to be notified).

Can I get historical splits and spinoffs going back 10 years?
The curated baseline includes high-profile actions back to 2020. For deeper history, pair this actor with the SEC Form 8-K Material Events Scraper and filter Item 1.02, 2.01, or 5.03 items.

Do you cover non-US issuers?
Coverage is strongest for US-listed names (NYSE, NASDAQ) including foreign issuers with US ADRs (ASML, MELI, etc.). Pure-foreign listings (LSE-only, TSE-only) are not the primary focus of this actor.

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Build & deploy

This actor is private. Contact NexGenData for access, white-label, or higher-volume custom data feeds.

Built on Apify's Python SDK, packaged as a standard Docker actor. The full source includes:

• src/main.py — orchestration: SEC EDGAR fetch, curated merge, Yahoo enrichment, filter, push
• src/__main__.py — entrypoint
• .actor/actor.json — actor spec
• .actor/input_schema.json — input schema
• Dockerfile, requirements.txt

Open source contributions welcome via the NexGenData GitHub.

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About NexGenData

NexGenData operates a fleet of pay-per-result financial data actors on Apify covering global equities (50+ exchanges), ETF holdings, SEC filings, options flow, earnings calendars, dividend aristocrats, short interest, IPOs, SPACs, and now corporate actions. The thesis is simple: institutional terminal data shouldn't cost six figures, and pay-per-result pricing aligns vendor incentives with user signal.

Try the full NexGenData catalog and get an affiliate discount: https://apify.com/nexgendata?fpr=2ayu9b