Skip to main content

Corporate Distress Signals for Investors

Restructuring signals from notices employers must file 60+ days before a mass layoff. Six federal datasets. Daily API. 5 composite indexes — how they are computed.

Watch the company monitoring walkthrough · 2:43

Recorded 24 September 2026. Screens reflect that date and can change.

Read the transcript

A company does not tell its whole story in one filing. You may find a workforce notice in one place, a corporate disclosure in another, and broader labor data somewhere else. LaborCurrent gives you several ways to bring those records into your research routine. Let’s build a simple process: start with an employer, add context, then decide how to keep track of relevant changes. Start with a question, not a score. What has this employer filed, in which places, and over what period?

Look at the notice rows and dates before forming a conclusion. For a workforce team, the practical question may be where services could be needed. For a recruiting product, it may be which employer events are relevant to a market. The records describe events; they do not identify individual workers for you. Now add another source where it is relevant. SEC filings can provide corporate context, and bankruptcy records can add another part of the timeline.

Check the employer match and each source date. The useful result is a documented sequence you can investigate. It is not a guarantee that one event caused another, or a prediction of what the company will do next. Keep observation and interpretation separate in your notes. If this is a recurring question, look at alerts. The page separates layoff notices, SEC alerts, a blog digest and reports.

Choose the stream that matches your task, then review the available filters and delivery description. A focused set of relevant updates is more useful than a large inbox you never read. For this walkthrough, we are showing where setup begins; your confirmation and delivery settings belong to your own account. You do not have to use every product. A dataset download suits a defined offline analysis. An API suits a workflow you run repeatedly.

A report is a different deliverable when you want a written briefing rather than raw rows. The store distinguishes a one-time snapshot from a refresh subscription, and reports are offered separately from API plans. Read those boundaries before deciding which purchase, if any, serves your work. Make the routine easy to repeat. Record the employer, the period you checked, the sources you used and the question that still needs an answer. Then choose the lightest way to stay informed.

Start by researching one employer you follow already. If the records are useful, explore the relevant alert or delivery option. The value is a clearer, repeatable research process grounded in public filings, with your judgment still in control.

Download captions (SRT) · VTT

--
WARN Notices
--
SEC 8-K Filings
--
Bankruptcies
5
Proprietary Signals
Daily
Updates

Filed 60+ Days Ahead

Federal WARN generally requires notice 60 days before a layoff takes effect (90 in some states); late filings and statutory exceptions exist, and the notice-period screen shows them. Cross-referenced with SEC 8-K and bankruptcy filings for the same company.

WARN Data · SEC Filings · Bankruptcies

5 Proprietary Indexes

WVI, WSI, TDI, MCS, IDI — computed daily from 6 datasets. Sector cascades, metro contagion, workforce stress.

Risk Signals · Signal API · Connected Signals

API + Bulk Exports

98+ endpoints. JSON, CSV, Parquet. Webhook alerts. Build signals into your models. Free tier to start.

API Pricing · Buy Datasets · Get API Key

Understand workforce exposure behind the headlines.

LaborCurrent includes DOL Labor Condition Application (LCA) records and USCIS H-1B petition decisions alongside WARN notices and SEC filings. These federal datasets document employer-level sponsorship activity, wage benchmarks and work locations — starting points for research into workforce composition and post-layoff patterns.

October 8, 2026: Administration officials announced PERM labor-certification suspensions involving Microsoft, Adobe and several major IT outsourcing firms (source). PERM and H-1B/LCA are separate certification processes; these are reported investigations, not findings of wrongdoing. No determination of violations has been made, and not every subsidiary may be covered. LaborCurrent covers LCA filings and H-1B petition decisions; it does not include a PERM dataset and does not track live eligibility status.

LCA fields (DOL Labor Condition Applications)

~5.1M LCA filings (FY2012–2026) · ~809K H-1B aggregate records (FY2009–2023; each row represents one employer/year/location group with approval and denial counts, not individual decisions). Filings count applications; one filing may cover multiple positions.

Available LCA fields in LaborCurrent
FieldDescription
employer_nameEmployer as filed with DOL
job_title / soc_titleRole and DOL occupation code title
wage_from / wage_toOffered wage range
prevailing_wage / pw_wage_levelDOL benchmark wage, level I–IV
worksite_city / worksite_stateWork location as certified
total_workersPositions in this single filing
case_statusCertified / Denied / Withdrawn
fiscal_yearDOL reporting period
decision_dateWhen DOL acted on the application

Explore workforce data →  ·  Methodology & coverage

Three starting questions for diligence

These are research starting points, not investment recommendations or predictions.

  1. Where does an employer show sustained sponsorship activity? Which fiscal years had material LCA volume, and did that activity concentrate in specific SOC codes or locations?
  2. Which roles and locations recur? Do the worksite cities, wage levels and occupation codes align with stated R&D or operational priorities over time?
  3. How does that historical activity compare with disclosed workforce changes? Do LCA filing counts shift in the quarters surrounding WARN notices or SEC Item 2.05 restructuring disclosures? LaborCurrent shows the timeline; interpretation is yours.

Companies at Risk — Live

Loading risk signals...

Ranked by composite score from WARN + SEC + bankruptcy + visa data. Full methodology →

Integrate Into Your Research Pipeline

REST API · Webhook alerts · JSON/CSV/Parquet · 5 signal indexes · Snowflake/S3 delivery

Start Free — 25 calls/day → Investor — $499/mo Hedge Fund Annual Buy Datasets ($49–$1,499)

Need a one-off report instead? Custom Research Reports →

Or Buy a Historical Data Drop

Static snapshot for backtests, attribution, or allocator diligence. Instant download · CSV + JSON + Parquet.

Complete Bundle current price →

All 6 datasets — WARN, SEC, bankruptcy, H-1B/LCA, JOLTS, DOL. Full history, 385 MB.

Stripe → or Gumroad
SEC 8-K Drop $149

93K+ 8-K filings, 10-year history, parsed items 1.03/2.05 — layoff, impairment, restructuring.

Stripe → or Gumroad
Bankruptcy Drop $99

Ch.11 & Ch.7 filings from PACER + SEC + FJC, 10 years. WARN cross-reference built-in.

Stripe → or Gumroad

All 6 drops + single-state options from $49 at laborcurrent.com/buy-data.

Sample records (public, as filed)

Three rows from the first page of GET /api/records?sort=notice_date&order=desc, captured 2026-09-16 with no API key — the free scope: last 30 days, published with a 7-day delay. A static copy, not a live feed; nine columns drawn from 11 of the record’s 28 fields are shown. Values are as published by each state agency; no accuracy guarantee.

Three public WARN records captured 2026-09-16, as filed
idcompany (display / filed)tickercity, stateemployees_affectednotice_dateeffective_datelayoff_typesource_url
IL-2026-7684f950Uber
filed as “Uber Technologies”
UBERChicago, IL3632026-09-022026-11-02LayoffIllinois DCEO
MA-2026-7b997a14TScan Therapeutics
filed as “TScan Therapeutics Inc. (dba TScan)”
TCRXWaltham, MA962026-09-022026-11-02—Mass. EOLWD
WA-2026-4a102d9bGilbert Orchards
filed as “Gilbert Orchards”
—Yakima, WA5182026-09-032026-11-22LayoffWashington ESD

Task it supports: match a filed notice to a ticker, read the headcount and the effective date, and open the state source before acting. ticker is null for private employers; layoff_type is null where the agency does not publish it. Same fields, live and filterable: sample data · record schema · normalization & coverage.

Need a Custom Data Feed?

For quant teams and institutional desks. Custom schedules, Snowflake/S3, dedicated support.

Data is for informational and research purposes only. Does not constitute investment advice. All signal scores are algorithmic estimates from public government data. Past patterns do not guarantee future outcomes.