8-K Filings
Current event signals from material events filed by US public companies.
Overview
The 8-K is a current report that US public companies must file to announce material events—leadership changes, acquisitions, major contracts, restructurings, and more.
Every week, we scan SEC EDGAR for new 8-K filings across 8,000+ publicly traded companies. Unlike 10-K and 10-Q filings, 8-Ks are event-driven—companies must file within 4 business days of a material event.
Because material events happen constantly, 8-Ks are by far our highest-volume SEC signal. This makes them especially valuable for fill rates and coverage—if you're looking for fresh signal on a given company, there's a good chance we have a recent 8-K.
Each filing is classified into one or more of 70+ event subtypes using a model we've fine-tuned specifically for SEC document analysis. Because 8-Ks capture discrete events rather than comprehensive annual/quarterly narratives, they typically produce 1-3 highly focused signals per filing.
Available Subtypes
| Subtype Enum | Description |
|---|---|
acquisitionAnnounced | Company announced an upcoming acquisition |
acquisitionCompleted | Company completed an acquisition |
aiInvestment | Company is investing in AI/ML capabilities |
auditIssue | Audit findings or concerns identified |
automationInvestment | Investing in automation initiatives to improve efficiency |
backlogGrowth | Order backlog is growing significantly |
bankruptcyProceeding | Bankruptcy filing or proceeding disclosed |
boardChange | Changes to board of directors |
bookingsDecline | Decline in bookings or orders |
capacityConstraint | Facing capacity constraints or limitations |
capexIncrease | Capital expenditure is increasing |
carbonCommitment | Carbon reduction or net-zero commitments |
cashFlowConcern | Facing cash flow challenges or concerns |
ceoChange | New CEO appointed |
cfoChange | New CFO appointed |
channelShift | Shifting sales or distribution channels |
chroChange | New Chief Human Resources Officer appointed |
cioChange | New CIO appointed |
cisoChange | New CISO appointed |
cloudInvestment | Investing in cloud infrastructure and migration |
cmoChange | New CMO appointed |
competitorNamed | Specific competitor mentioned as significant threat |
complianceBurden | Facing significant regulatory compliance challenges |
cooChange | New COO appointed |
costReduction | Actively pursuing cost reduction initiatives |
croChange | New Chief Revenue Officer appointed |
ctoChange | New CTO appointed |
customerChurn | Experiencing customer churn issues |
customerConcentration | Revenue concentrated in few customers |
cybersecurityIncident | Cybersecurity breach or incident disclosed |
cybersecurityInvestment | Investing in cybersecurity measures and infrastructure |
dataInvestment | Investing in data and analytics capabilities |
debtRefinancing | Refinancing debt obligations |
deiInitiative | Diversity, equity, and inclusion initiatives |
digitalTransformation | Undergoing digital transformation initiatives |
divestiture | Divesting business units or assets |
environmentalLiability | Facing environmental liability or remediation |
founderDeparture | Founder leaving the company |
generalCounselChange | New General Counsel appointed |
goodwillImpairment | Taking goodwill impairment charges |
governanceChange | Corporate governance changes |
hiringFreeze | Hiring freeze announced |
inflationImpact | Inflation significantly impacting costs or margins |
internalControlWeakness | Internal control weaknesses identified |
internationalGrowth | Expanding international presence |
inventoryIssue | Facing inventory management challenges |
jointVenture | Forming joint venture or strategic partnership |
laborShortage | Facing labor or talent shortages |
layoffs | Workforce reduction announced |
legacyModernization | Modernizing legacy systems and technical debt |
litigationMaterial | Facing material litigation or legal matters |
logisticsChallenge | Experiencing logistics and distribution difficulties |
majorContractLoss | Lost significant contract or deal |
majorContractWin | Won significant contract or deal |
manufacturingIssue | Facing manufacturing challenges or capacity constraints |
marginPressure | Profit margins under pressure |
marketExpansion | Expanding into new markets or segments |
marketShareLoss | Losing market share to competitors |
materialContract | Significant contract or agreement disclosed |
platformStrategy | Pursuing platform-based business strategy |
pricingPressure | Facing competitive pricing pressure |
productLaunch | Launching new products or services |
productLiability | Facing product liability issues |
qualityIssue | Product or service quality issues |
recurringRevenueShift | Shifting business model toward recurring revenue |
regulatoryFine | Regulatory fine or penalty |
regulatoryInvestigation | Under regulatory investigation |
restructuring | Undergoing organizational restructuring |
restructuringCharge | Taking restructuring charges |
softwareImplementation | Implementing major new software systems |
spinoff | Spinning off business unit |
successionAnnouncement | Leadership succession plan announced |
supplierConcentration | Supply chain concentrated in few suppliers |
supplyChainDisruption | Experiencing supply chain disruptions |
sustainabilityInvestment | Investing in ESG and sustainability initiatives |
Signal Categories
Signals are organized into these categories:
| Category | Description |
|---|---|
strategic | M&A, platform strategy, product launches, ESG initiatives |
market | Expansion, competition, pricing, customer dynamics |
financial | Margins, capex, debt, revenue model changes |
technology | AI, automation, digital transformation, cybersecurity investments |
risk | Compliance, internal controls, concentration risks |
operations | Supply chain, inventory, restructuring, cost reduction initiatives |
revenue | Revenue trends, bookings, growth signals |
workforce | Leadership changes, talent acquisition, labor challenges |
leadership | Executive and board changes |
esg | Environmental, social, governance initiatives |
Schema
{
"signal_id": "9873367d-66a0-408e-9ce8-197872e72cbf",
"batch_id": "c2cf7d6d",
"signal_type": "8k",
"signal_subtype": "acquisitionAnnounced",
"detected_at": "2026-01-08T14:22:18.386003Z",
"association": "company",
"company": {
"name": "Cable One, Inc.",
"domain": "www.cableone.biz",
"ticker": "CABO",
"linkedin_url": "https://www.linkedin.com/company/cable-one",
"industries": [
"Telecommunications Services"
],
"employee_count_low": 2817,
"employee_count_high": 2817,
"description": "Cable One, Inc. is a leading broadband communications provider serving residential and business customers in 24 states."
},
"data": {
"summary": "Cable One to acquire remaining 55% of Mega Broadband Investments (Vyve Broadband) for ~$485M.",
"detail": "Cable One will fully consolidate Mega Broadband Investments (MBI) by Q4 2026, creating an urgent need for post-merger integration services, including system consolidation (billing, CRM, network), data migration, and change management.",
"relevance": 0.95,
"confidence": "high",
"sentiment": "neutral",
"excerpts": "Cable One entered into a Purchase Agreement to acquire the equity interests in MBI that it does not already own for approximately $485 million.",
"source_url": "https://www.sec.gov/Archives/edgar/data/1632127/000095015726000007/form8-k.htm",
"technologies_mentioned": [
"broadband",
"fiber connectivity"
],
"competitors_mentioned": [],
"vendors_mentioned": [],
"regions_mentioned": [
"Southeast",
"Northwest",
"Mid-South United States"
],
"fiscal_year_end": null,
"filing_date": "2026-01-06",
"filing_year": 2026,
"sales_relevance": "Integration needs coming",
"signal_category": "strategic",
"metrics": {
"dollar_millions": 485,
"dollar_context": "Purchase price for remaining 55% of Mega Broadband Investments",
"pct": 0.55,
"pct_context": "Equity stake in MBI being acquired",
"timeframe": "current_year"
}
}
}Field Reference
Core Fields
| Field | Type | Required | Description |
|---|---|---|---|
signal_id | string (UUID) | ✓ | Unique identifier for this signal |
batch_id | string | Processing batch identifier | |
signal_type | string | ✓ | Signal type identifier (8k) |
signal_subtype | string | ✓ | Specific signal subtype |
detected_at | string (ISO 8601) | ✓ | Timestamp when the signal was extracted |
association | string | ✓ | Entity type this signal is associated with (company) |
Company Object
| Field | Type | Required | Description |
|---|---|---|---|
company.name | string | ✓ | Company name |
company.domain | string | ✓ | Company website domain |
company.ticker | string | Stock ticker symbol | |
company.linkedin_url | string (URL) | LinkedIn company page URL | |
company.industries | array[string] | Industry classifications | |
company.employee_count_low | integer | Lower bound of employee count estimate | |
company.employee_count_high | integer | Upper bound of employee count estimate | |
company.description | string | Brief company description |
Data Object
| Field | Type | Required | Description |
|---|---|---|---|
data.summary | string | ✓ | Brief summary of the signal finding |
data.detail | string | AI-generated multi-sentence analysis explaining the significance of the finding — includes context about why it matters for the company and potential implications for sales outreach | |
data.relevance | float (0.0-1.0) | Score indicating how actionable this signal is for sales outreach (0.0–1.0, where 1.0 is highest). Higher values reflect greater commercial relevance based on factors like event magnitude, recency, and potential impact on buying decisions | |
data.confidence | string | How certain the system is that the signal classification is accurate. high = strong textual evidence supports the categorization, medium = probable but some ambiguity exists, low = inferred with limited direct evidence | |
data.sentiment | string | AI-classified from the filing text (not rule-based). The model reads the relevant excerpt and assesses whether the disclosed event is favorable, unfavorable, or neutral for the company. positive = favorable developments (growth, investment, expansion), negative = unfavorable developments (risk, cost pressure, challenges), neutral = informational without clear positive or negative implications. Often correlates with signal subtype but is context-dependent | |
data.excerpts | string | Direct quote from the SEC filing | |
data.source_url | string (URL) | URL to the SEC filing on EDGAR | |
data.technologies_mentioned | array[string] | Technologies referenced in the filing | |
data.fiscal_year_end | string (nullable) | Company's fiscal year end date (MM/DD format) | |
data.filing_date | string (ISO 8601) | Date the filing was submitted to the SEC | |
data.filing_year | integer | The calendar year in which the filing was submitted to the SEC. May differ from fiscal_year — for example, a 10-K covering FY2025 is typically filed in early 2026 | |
data.sales_relevance | string | A brief phrase describing how this signal creates a potential sales opportunity — e.g., 'Integration needs coming', 'Change management needs'. Useful for quickly assessing outreach angles without reading the full signal | |
data.competitors_mentioned | array[string] | Competitors mentioned in the filing | |
data.regions_mentioned | array[string] | Geographic regions mentioned in the filing | |
data.vendors_mentioned | array[string] | Vendors or partners mentioned in the filing | |
data.signal_category | string | Category grouping for the signal (strategic, market, financial, technology, risk, operations, revenue, workforce, leadership, esg) | |
data.metrics.dollar_millions | float | Dollar amount mentioned in millions USD | |
data.metrics.dollar_context | string (nullable) | Context explaining the dollar amount | |
data.metrics.pct | float | Percentage value mentioned | |
data.metrics.pct_context | string (nullable) | Context explaining the percentage | |
data.metrics.timeframe | string (nullable) | Time context for the metrics (immediate, current_year, current_quarter, next_quarter, next_year, next_two_years, next_three_years, multi_year, last_year) |
Data Activation
Timing
detected_at is when Autobound extracted the signal. 8-Ks are event-driven filings that disclose material events within 4 business days of occurrence.
Use data.filing_date to understand when the filing was actually submitted to the SEC.
Uniqueness
One signal per subtype per filing. Unlike 10-K/10-Q, companies can file multiple 8-Ks per day, so expect many signals per company over time.
Delivery
Each delivery arrives in a timestamped folder. Signals in that folder cover the window between this delivery and the previous one. Treat all signals in a new folder as recent and actionable—no need to diff against prior deliveries.
Best Practices
- Filter on
relevanceandconfidenceboth above 0.9 for high-precision use cases - Build picklists from
signal_subtypevalues - 8-K signals are the most time-sensitive SEC signals - prioritize quick action
API Usage
Generate Content API
{
"enabledInsights": [
"cfoChange",
"ceoChange",
"acquisitionCompleted"
],
"disabledInsights": []
}Generate Insights API
{
"insightSubtype": "cfoChange"
}Example Output
"Saw Cable One just announced a $485M acquisition to fully consolidate Vyve Broadband. Post-merger integrations like this typically trigger a full review of billing, CRM, and network systems—would love to share how we're helping similar telecom companies streamline M&A integrations."
Coverage
- Refresh: Weekly
- Coverage: 7,000 US public companies
- Best for: US enterprise accounts, Leadership change triggers, M&A tracking
Updated 4 days ago
