Financial Intelligence
10-K Annual Report Signals
70+ AI-extracted signal subtypes from SEC annual filings. Detect cybersecurity investment, digital transformation, leadership changes, and cost reduction initiatives across 4,500 public companies.
Companies Covered
Signal Subtypes
Refresh Cadence
Historical Depth
What Are 10-K Filing Signals?
10-K annual reports are the most comprehensive disclosures public companies file with the SEC. They contain detailed information about a company's business operations, financial condition, risk factors, and strategic direction that typically spans 100-300 pages of dense narrative content.
Autobound's AI models extract structured signals from these filings, identifying specific events and trends that matter for sales and business development. Instead of reading through hundreds of pages, sales teams get actionable intelligence about a company's priorities, challenges, and investment areas within hours of a filing hitting EDGAR.
Our 10-K signal extraction covers 70+ distinct subtypes organized into categories like technology investment, organizational changes, regulatory concerns, growth initiatives, and risk factors. Each signal includes a natural-language summary, a detailed explanation with evidence, a relevance score, confidence level, and direct links to the source filing.
These signals are particularly valuable because 10-K filings contain forward-looking statements that reveal where a company plans to invest over the next 12-18 months. When a company discloses increased cybersecurity spending, AI infrastructure investment, or plans for digital transformation, those are strong buying signals for vendors selling into those categories.
Example Signal Subtypes
Compare Signal Types
Financial Signal Types at a Glance
| Signal Type | Filing Frequency | Subtypes | Lag Time | Best For |
|---|---|---|---|---|
| 10-K Annual Reports | Annual | 70+ | ~60 days after fiscal year end | Strategic direction, risk factors, investment priorities |
| 10-Q Quarterly Reports | Quarterly | 18+ | 40-45 days after quarter end | Revenue momentum, margin shifts, quarterly pivots |
| 8-K Current Reports | Event-driven | 70+ | 4 business days | Leadership changes, M&A, material events |
| Earnings Transcripts | Quarterly | 40+ | 1-2 days after call | Executive quotes, budget commitments, tech mentions |
| 20-F Foreign Filings | Annual | 13+ | ~4 months after fiscal year end | International company strategy and risk factors |
| 6-K Foreign Reports | Event-driven | 18+ | Varies | Foreign company quarterly updates and events |
See It in Action
Real-World Example
Signal Detected
Datadog files its 10-K revealing a 40% increase in AI infrastructure spending and new cybersecurity risk factors citing recent data breach attempts.
Sales Action
Your SDR references the filing in a cold email to their VP of Engineering: 'Noticed from your latest 10-K that AI infrastructure is a top priority — here's how we help companies like yours scale securely.'
Result
3x higher reply rate because the outreach is tied to a confirmed budget priority, not a generic pitch.
Data Schema
10-K Signal Data Schema
Every 10-K signal follows a normalized schema with company resolution, relevance scoring, and detailed evidence. Here is a real example from our production database.
{
"signal_id": "bfb35bca-818c-4f60-b69c-c119cb24eca2",
"signal_type": "10k",
"signal_subtype": "cybersecurityInvestment",
"detected_at": "2026-01-11T08: 16: 43Z",
"association": "company",
"company": {
"name": "ABM Industries Incorporated",
"domain": "www.abm.com",
"ticker": "ABM",
"linkedin_url": "linkedin.com/company/abm-industries",
"industries": ["Specialty Business Services"],
"employee_count_low": 100000
},
"data": {
"summary": "Emerging AI technologies are intensifying cybersecurity risks, requiring additional security resources.",
"detail": "Having experienced past data breaches, ABM explicitly identifies AI-driven cyber threats as a growing concern in their 10-K risk factors...",
"relevance": 0.8,
"confidence": "high",
"sentiment": "negative",
"source_url": "https://www.sec.gov/Archives/edgar/data/771497/...",
"technologies_mentioned": ["artificial intelligence"],
"fiscal_year_end": "10/31",
"filing_year": 2025,
"sales_relevance": "Security vendor opportunity",
"signal_category": "technology"
}
}Use Cases
How Sales Teams Use 10-K Annual Report Signals
Cybersecurity Vendors
Detect when companies disclose increased cyber risk, data breaches, or AI-driven security concerns in their annual filings. These risk factor disclosures indicate active budget allocation for security solutions.
Cloud & Infrastructure Sales
Identify companies announcing digital transformation initiatives, cloud migration strategies, or infrastructure modernization plans in their 10-K business description sections.
AI/ML Platform Providers
Find companies explicitly discussing AI investment, machine learning adoption, or automation initiatives. 10-K filings reveal multi-year investment commitments not visible in press releases.
Compliance & GRC Tools
Track companies disclosing new regulatory burdens, compliance requirements, or governance challenges. These filings reveal compliance gaps before the company issues an RFP.
Financial Advisory Services
Monitor for cost reduction programs, restructuring initiatives, margin pressure signals, and capital allocation changes that indicate a need for strategic advisory services.
FAQ
Frequently Asked Questions
How quickly are 10-K signals available after a company files?
What's the difference between 10-K and 10-Q signals?
How many subtypes does the 10-K signal extraction cover?
Can I filter 10-K signals by industry or company size?
Do 10-K signals include the source filing URL?
How It Works
From Raw Data to Actionable Signals
Autobound transforms unstructured data into structured, scored signals your team can act on immediately.
Autobound Ingests
Raw data from SEC EDGAR, earnings call transcripts, financial data APIs is continuously collected and normalized.
AI Extracts & Scores
ML models extract signal subtypes with relevance scoring, confidence levels, and sentiment analysis.
You Receive
Structured JSONL signals delivered via REST API, GCS Push, Generate Insights API, or Flat File export.
Flexible Delivery
Access 10-K Annual Report Signals Your Way
10-K Annual Report Signals are available through all Autobound delivery methods. Choose the approach that fits your infrastructure.
REST API
Real-time access with subtype filtering
300 req/min
GCS Push
Automated delivery to your bucket
JSONL + Parquet
Generate Insights API
On-demand LLM-ranked insights
AI relevance scoring
Flat File
Bulk exports for data warehouses
CSV, JSON, ParquetRelated Signals
Combine for Deeper Intelligence
10-K Annual Report Signals become more powerful when combined with related signal types. Cross-referencing multiple signals reveals patterns that no single source can surface alone.
“We see a 30% increase in retention for users after they engage with IntentMail. Autobound's AI technology has been a game-changer for our Priority Engine platform.”
Justin Hoskins
VP of Product Strategy, TechTarget
API Documentation
Explore the API
Full schema reference, sample requests, and integration guides. Everything you need to start consuming 10-K Annual Report Signals in your application.
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10-K Annual Report Signals?
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