10-K Filings
Strategic signals extracted from a company's latest 10-K annual filing.
Overview
The 10-K is the comprehensive annual report that US public companies are required to file with the SEC.
Every week, we scan SEC EDGAR for new filings across 8,000+ publicly traded companies. For any 10-K filed in the past 7 days, our pipeline extracts and analyzes the full document—with particular emphasis on the Management Discussion & Analysis (MD&A) and Risk Factors sections, where companies disclose their strategic priorities, operational challenges, and forward-looking concerns.
Each filing is classified into one or more of 70+ event subtypes (leadership changes, acquisitions, cost reduction initiatives, cybersecurity investments, etc.) using a model we've fine-tuned specifically for SEC document analysis.
A single filing can produce between 5-25 signals, depending on how many relevant initiatives or pain points can be inferred accurately from the document's content.
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": "ab8b84f3-e8f1-41b9-ba44-964b8dd9b99e",
"batch_id": "c74ac230",
"signal_type": "10k",
"signal_subtype": "majorContractLoss",
"detected_at": "2026-02-03T08:23:43.217463Z",
"association": "company",
"company": {
"name": "Charter Communications, Inc.",
"domain": "corporate.charter.com",
"ticker": "CHTR",
"linkedin_url": "linkedin.com/company/charter-communications",
"industries": [
"Telecommunications Services"
],
"employee_count_low": 94500,
"employee_count_high": 94500,
"description": "Charter Communications, Inc. is a leading broadband connectivity company and cable operator serving more than 32 million customers in 41 states through its Spectrum brand."
},
"data": {
"summary": "Lost 393,000 residential Internet customers in 2025 amid competitive pressure.",
"detail": "The company is experiencing significant customer churn in its core internet business, contributing to a $311 million overall revenue decrease. This acute pain point makes them highly receptive to solutions that can improve customer retention, marketing effectiveness, and competitive intelligence.",
"relevance": 0.9,
"confidence": "high",
"sentiment": "negative",
"excerpts": "Residential Internet customers decreased by 393,000 in 2025 compared to 2024.",
// exerpt is short, but signal is created off of more than just this text from the filing. See primary area of extraction here https://tinyurl.com/10k-snippet
"source_url": "https://www.sec.gov/Archives/edgar/data/1091667/000109166726000017/chtr-20251231.htm",
"technologies_mentioned": null,
"fiscal_year_end": null,
"filing_date": "2026-01-30",
"filing_year": 2026,
"sales_relevance": "Urgency to improve",
"competitors_mentioned": null,
"regions_mentioned": null,
"vendors_mentioned": null,
"signal_category": "revenue",
"metrics": {
"dollar_millions": 311,
"dollar_context": "Total revenue decrease in 2025 vs 2024",
"pct": -0.006,
"pct_context": "Total revenue decline",
"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 (10k) |
signal_subtype | string | ✓ | Specific signal subtype (see subtypes list) |
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 | Detailed explanation of the finding | |
data.relevance | float (0.0-1.0) | Relevance score indicating signal strength | |
data.confidence | string | Confidence level in the signal accuracy (high, medium, low) | |
data.sentiment | string | Sentiment of the signal (positive, negative, neutral) | |
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 | 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 | Fiscal year of the filing | |
data.sales_relevance | string | Sales opportunity context and targeting guidance | |
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 | 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 from the filing. The underlying business event may have occurred days or weeks earlier. Use filing_year to understand which fiscal year the filing covers, and source_url to access the original SEC filing for verification.
Use data.filing_date to understand when the filing was actually submitted to the SEC. This lets you calculate the lag between when the company filed and when we processed it.
Uniqueness
One signal per subtype per company per fiscal year. For example, if we detect ceoChange in Apple's FY2025 10-K, we won't fire another ceoChange for Apple until their FY2026 10-K is filed. Different subtypes from the same filing are separate signals (e.g., one company's 10-K might produce both ceoChange and aiInvestment).
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.
API Usage
Generate Content API
{
"enabledInsights": [
"aiInvestment",
"digitalTransformation",
"marginPressure"
],
"disabledInsights": []
}Generate Insights API
{
"insightSubtype": "aiInvestment"
}Example Output
"Saw that Applied Materials nearly doubled their CapEx to $2.26B this year—massive investment in US manufacturing capacity. If you're scaling infrastructure to support that kind of growth, would love to share how we're helping similar semiconductor companies optimize their facility buildouts."
Coverage
- Refresh: Quarterly
- Coverage: ~4,500 US public companies
- Best for: Enterprise sales, Strategic accounts, C-suite engagement
Updated 15 days ago
