---
# === IDENTITY ===
id: signal-library/retail-sources/store-closure-filings/2026
canonical_question: "What data sources track retail store closures and facility changes?"
aliases:
  - "WARN Act filing tracker"
  - "store closure data sources"
  - "commercial real estate lease termination signals"
  - "retail facility closure monitoring"
entity_type: concept
domain: signal-library > retail > sources > store closure filings
region: global
jurisdiction: US
temporal_scope: 2024-2026

# === VERIFICATION ===
last_verified: 2026-03-30
confidence: 0.88
version: 1.0
first_published: 2026-03-30

# === TEMPORAL VALIDITY ===
temporal_validity:
  status: evolving
  last_breaking_change: null
  next_review: 2026-09-26
  change_sensitivity: medium

# === CONSTRAINTS ===
constraints:
  - "WARN Act only applies to employers with 100+ employees closing facilities affecting 50+ workers — misses small-format closures entirely"
  - "State WARN databases vary in format, update frequency, and completeness — no single unified federal portal"
  - "Commercial RE data (CoStar, LoopNet) requires paid subscription ($300-1000+/month) — free WARN data alone gives incomplete picture"
  - "Lease termination filings lag actual closure decisions by 3-12 months depending on lease terms"
  - "Store openings in commercial RE data look structurally similar to closures — requires directional classification to avoid false signals"

# === SKIP CONDITIONS ===
skip_this_unit_if:
  - condition: "User needs to detect online-only retail distress (no physical stores)"
    use_instead: "signal-library/retail-sources/web-traffic-analytics/2026"
  - condition: "User wants supply chain disruption signals, not facility changes"
    use_instead: "signal-library/retail-sources/supply-chain-announcements/2026"
  - condition: "User needs real-time social sentiment about store closures"
    use_instead: "signal-library/retail/detection-rules/2026"

# === AGENT HINTS ===
inputs_needed:
  - key: "signal_goal"
    question: "What retail event are you trying to detect?"
    type: choice
    options:
      - "Distressed retailer closing stores (churn risk / acquisition opportunity)"
      - "Retailer consolidating facilities (restructuring signal)"
      - "Retailer exiting a market or region (competitive gap)"
      - "New store openings indicating expansion (upsell opportunity)"

# === DISTRIBUTION ===
canonical_source: "https://knowledgelib.io/signal-library/retail-sources/store-closure-filings/2026"
suggested_citation: "Source: knowledgelib.io — AI Knowledge Library (verified 2026-03-30)"

# === RELATED UNITS ===
related_kos:
  related_to:
    - id: "signal-library/retail/overview/2026"
      label: "Retail Signal Library Overview"
    - id: "signal-library/retail/detection-rules/2026"
      label: "Retail Signal Detection Rules"
  depends_on:
    - id: "signal-library/retail/overview/2026"
      label: "Retail Signal Library Overview"
  often_confused_with: []
  solves: []
  alternative_to: []

# === SOURCES ===
sources:
  - id: src1
    title: "WARN Act Compliance Assistance"
    author: US Department of Labor
    url: https://www.dol.gov/agencies/eta/layoffs/warn
    type: official_docs
    published: 2025-01-15
    reliability: authoritative
  - id: src2
    title: "US Commercial Real Estate Market Analytics"
    author: CoStar Group
    url: https://www.costar.com/products/costar-suite
    type: industry_report
    published: 2025-12-01
    reliability: high
  - id: src3
    title: "State of Retailing 2026: Store Closure Trends"
    author: National Retail Federation
    url: https://nrf.com/research/state-retailing
    type: industry_report
    published: 2026-01-15
    reliability: high
  - id: src4
    title: "Commercial Lease Termination and Retail Real Estate Trends"
    author: CBRE Research
    url: https://www.cbre.com/insights/reports/us-retail-figures
    type: industry_report
    published: 2025-09-01
    reliability: high
---

# Store Closure Filings

## Definition

Store closure filings are structured government and commercial real estate records that document facility shutdowns, lease terminations, and workforce reductions at retail locations. The primary public source is the US Department of Labor's WARN (Worker Adjustment and Retraining Notification) Act database, which requires employers with 100+ employees to file 60-day advance notice before plant closings or mass layoffs affecting 50+ workers. [src1] Commercial real estate platforms (CoStar, LoopNet) supplement WARN data with lease termination filings, vacancy listings, and new tenant signings that together paint a complete picture of retail facility changes. [src2]

## Key Properties

- **Primary data source**: US DOL WARN Act database — federal mandate, state-administered filing systems [src1]
- **Supplementary data**: CoStar, LoopNet, CBRE lease termination and vacancy data [src2]
- **Key data fields**: Company name, location(s) affected, number of employees affected, closure date, lease termination filing date
- **Signal types detected**: Store closures (distress), facility consolidations (restructuring), lease non-renewals (market exit), new store openings (expansion — different buying trigger)
- **Refresh cadence**: Monthly (WARN database updates), real-time (commercial RE platforms)
- **Cost**: Free public data (WARN), paid subscription (CoStar: $300-1000+/month)
- **Reliability**: 5/5 — official government filings with near-zero false positive rate [src1]

## Constraints
<!-- Agents: read this section before recommending this concept/framework.
     These are hard boundaries on when and how it applies. -->

- WARN Act threshold: only companies with 100+ employees closing facilities affecting 50+ workers — small-format retail (boutiques, pop-ups, single-location stores) invisible to this source [src1]
- State-level WARN databases lack standardization: filing formats, update frequency (daily to monthly), and data completeness vary significantly across 50 states
- Lease termination data from commercial RE platforms lags actual closure decisions by 3-12 months depending on original lease terms and break clauses [src4]
- New store openings generate structurally similar commercial RE signals to closures — requires directional classification logic to avoid false positives
- WARN filings are US-only; international store closures require country-specific labor notification databases or press monitoring

## Framework Selection Decision Tree

```
START — User needs retail facility change signals
├── What type of facility event?
│   ├── Store closures / mass layoffs
│   │   └── Store Closure Filings ← YOU ARE HERE
│   ├── Supply chain / logistics hub changes
│   │   └── Supply Chain Announcements
│   ├── Online traffic decline (no physical component)
│   │   └── Web Traffic Analytics
│   └── General brand health / sentiment
│       └── Social Media Monitoring (not yet covered)
├── Is the target company US-based with 100+ employees?
│   ├── YES → WARN Act data is primary source (free, reliable)
│   └── NO → Commercial RE data only, or international labor databases
└── Do you need real-time or can you wait for monthly updates?
    ├── Real-time → Commercial RE platforms (paid)
    └── Monthly acceptable → WARN database (free)
```

## Application Checklist

### Step 1: Set up WARN Act monitoring
- **Inputs needed**: Target states/regions, company names or SIC codes of interest
- **Output**: Automated alerts when matching WARN filings appear
- **Constraint**: Must monitor individual state DOL websites — there is no single federal WARN feed [src1]

### Step 2: Configure commercial RE data feeds
- **Inputs needed**: CoStar or LoopNet subscription, geographic boundaries, retail property types
- **Output**: Lease termination events, vacancy listings, new tenant signings in target areas
- **Constraint**: Subscription cost ($300-1000+/month) must be justified by deal value — skip for low-value signal monitoring [src2]

### Step 3: Classify signal direction
- **Inputs needed**: Raw filing/listing data from Steps 1-2
- **Output**: Classified signals: closure (distress), consolidation (restructuring), exit (market withdrawal), expansion (new opening)
- **Constraint**: New store openings must be separated from closures — same data source, opposite meaning. Use tenant name + lease type (new vs termination) as classifier [src4]

### Step 4: Validate and enrich signals
- **Inputs needed**: Classified signals, company financial data, press releases
- **Output**: Validated signal with confidence score and recommended action
- **Constraint**: WARN filings alone do not indicate financial distress — some closures are strategic. Cross-reference with earnings data and press before acting [src3]

## Anti-Patterns

### Wrong: Treating every WARN filing as a distress signal
Many WARN filings reflect planned restructuring by healthy companies (e.g., relocating a distribution center, closing a redundant location post-merger). Acting on WARN filings without cross-referencing financial health leads to false distress alerts. [src3]

### Correct: Cross-reference WARN filings with financial indicators
Combine WARN data with quarterly earnings, debt ratios, and press releases. A WARN filing from a company with declining same-store sales and rising debt is a distress signal; the same filing from a profitable company consolidating after an acquisition is a restructuring signal. [src1]

### Wrong: Relying on WARN data alone for comprehensive store closure tracking
WARN Act thresholds (100+ employees, 50+ affected workers) mean the majority of small and mid-size retail closures never appear in WARN databases. Treating WARN as a complete census of retail closures creates massive blind spots. [src1]

### Correct: Layer WARN data with commercial RE and press monitoring
Use WARN as the high-confidence base layer, supplement with CoStar/LoopNet lease termination data for mid-market coverage, and add press/social monitoring for small-format closures. Each layer has different reliability and latency characteristics. [src2]

### Wrong: Ignoring the 60-day lag in WARN filings
WARN requires 60 days advance notice, but many companies file late or use exceptions (unforeseeable business circumstances, natural disasters). Treating WARN filing date as closure date misaligns signal timing. [src1]

### Correct: Use WARN filing date as earliest-possible-closure anchor
The actual closure date is specified in the filing but is at least 60 days after the filing date. Track both filing date (signal date) and stated closure date (action date) separately. [src1]

## Common Misconceptions

- **Misconception**: WARN Act filings cover all retail store closures in the US.
  **Reality**: WARN only applies to employers with 100+ employees making cuts affecting 50+ workers at a single site. The majority of US retailers have fewer than 100 employees, and many closures affect fewer than 50 workers per location. [src1]

- **Misconception**: Commercial real estate vacancy data is real-time.
  **Reality**: Lease termination filings lag actual closure decisions by 3-12 months. A retailer may decide to close in January, negotiate lease termination through June, and the vacancy appears in CoStar in July. [src4]

- **Misconception**: Store openings and closures come from different data sources.
  **Reality**: Both appear in the same commercial RE platforms as lease events. New tenant signings (openings) and lease terminations (closures) are structurally identical records requiring directional classification. [src2]

## Comparison with Similar Concepts

| Signal Source | Key Difference | When to Use |
|---|---|---|
| Store Closure Filings | Government-mandated filings + commercial RE data; highest reliability (5/5) | Tracking physical retail facility changes with high confidence |
| Supply Chain Announcements | Press releases + SEC filings about logistics and suppliers; moderate reliability (3/5) | Detecting upstream operational changes before they become visible in closures |
| Web Traffic Analytics | Estimated online performance metrics; good reliability (4/5) | Monitoring digital retail health and brand erosion for online-first retailers |

## When This Matters

Fetch this when an agent needs to detect or verify retail store closures, facility consolidations, or market exits using structured government and commercial real estate data. Most valuable for monitoring competitors' physical retail footprint changes, identifying distressed retailers for acquisition targeting, or spotting market gaps created by competitor withdrawals.

## Related Units

- [Retail Signal Library Overview](/signal-library/retail/overview/2026)
- [Retail Signal Detection Rules](/signal-library/retail/detection-rules/2026)
- [Supply Chain Announcements](/signal-library/retail-sources/supply-chain-announcements/2026)
- [Web Traffic Analytics](/signal-library/retail-sources/web-traffic-analytics/2026)
