10-Q Filings
Strategic signals extracted from quarterly SEC 10-Q filings.
Overview
The 10-Q is the quarterly report that US public companies file with the SEC—same depth as a 10-K, but covering a single quarter.
Every week, we scan SEC EDGAR for new filings across 8,000+ publicly traded companies. For any 10-Q 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 quarterly performance updates, emerging challenges, and strategic pivots.
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": "6229b797-6c79-4c38-a5e0-507b98e305ae",
"batch_id": "0ebf94b0",
"signal_type": "10q",
"signal_subtype": "recurringRevenueShift",
"detected_at": "2025-12-10T09:22:14.726023Z",
"association": "company",
"company": {
"name": "Dell Technologies Inc.",
"domain": "www.delltechnologies.com",
"ticker": "DELL",
"linkedin_url": "linkedin.com/company/delltechnologies",
"industries": [
"Computer Hardware"
],
"employee_count_low": 108000,
"employee_count_high": 108000,
"description": "Dell Technologies is a multinational technology company that develops, sells, repairs, and supports computers and related products and services."
},
"data": {
"summary": "Dell's financing originations nearly double to $3.1B in Q3, signaling rapid as-a-service adoption.",
"detail": "A 94% year-over-year surge in new financing originations indicates massive customer adoption of Dell's subscription and as-a-service models. This rapid scaling creates urgent needs for more robust billing, contract management, and revenue recognition systems.",
"relevance": 0.9,
"confidence": "high",
"sentiment": "positive",
"excerpts": "New financing originations were $3.1 billion and $1.6 billion for the three months ended October 31, 2025 and November 1, 2024, respectively.",
"source_url": "https://www.sec.gov/Archives/edgar/data/1571996/000157199625000127/dell-20251031.htm",
"technologies_mentioned": [
"as-a-service",
"subscription models"
],
"competitors_mentioned": [],
"vendors_mentioned": [],
"regions_mentioned": [],
"filing_date": "2025-12-05",
"filing_year": 2025,
"sales_relevance": "Billing/subscription tools",
"period_end_date": "2025-10-31",
"quarter": "Q3",
"fiscal_year": 2026,
"signal_category": "revenue",
"metrics": {
"dollar_millions": 3100,
"dollar_context": "New financing originations for Q3 2025, up from $1.6B in Q3 2024",
"pct": 0.94,
"pct_context": "Year-over-year increase in quarterly financing originations",
"timeframe": "current_quarter"
}
}
}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 (10q) |
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 | 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 | Confidence level in the signal accuracy (high, medium, low) | |
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 | 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 | 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.period_end_date | string (ISO 8601) | End date of the reporting period | |
data.quarter | string | Fiscal quarter (Q1, Q2, Q3, Q4) | |
data.fiscal_year | integer | The company's fiscal year that this report covers. May not align with the calendar year — e.g., a company with a January fiscal year-end would file its FY2025 report in early 2026 |
Data Activation
Timing
detected_at is when Autobound extracted the signal. Use quarter and fiscal_year to understand which reporting period the filing covers. Access the original via source_url.
Use data.filing_date to understand when the filing was actually submitted to the SEC.
Uniqueness
One signal per subtype per company per quarter. If we detect aiInvestment in Oracle's Q3 FY2025 10-Q, we won't fire another until their Q4 10-Q.
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 - Use
data.quarter+data.fiscal_yearfor triggering rather than specific dates
API Usage
Generate Content API
{
"enabledInsights": [
"capexIncrease",
"aiInvestment",
"marginPressure"
],
"disabledInsights": []
}Generate Insights API
{
"insightSubtype": "capexIncrease"
}Example Output
"Noticed in Dell's latest 10-Q that financing originations nearly doubled to $3.1B—massive adoption of their as-a-service model. That kind of subscription growth creates real complexity around billing and revenue recognition. We're helping similar companies streamline those systems—would love to share what's working."
Coverage
- Refresh: Weekly
- Coverage: 7,000 US public companies
- Best for: US enterprise accounts, Quarterly budget cycles, Strategic initiative tracking
Updated 4 days ago
