Chronological Delta Slicing System

Input: Form 10-12B and its 10-12B/A amendments.
Engine: Automated chronological delta analysis across filings.
Deliverables: An actionable risk matrix, audio briefing, and executive summary.

• Turn 500+ Pages of SEC Amendments Into Actionable Alpha in Minutes.
• Automated delta analysis isolating hidden capital risks across sequential filings

Consider the spin-off of ADI Global Distribution Inc. (ADIG), which offers a clear before-and-after comparison of Risk Factors across amendments. On July 30, 2025, Resideo Technologies, Inc. announced plans to separate its ADI Global Distribution business into an independent, publicly traded company through a tax-free spin-off to shareholders.

ADI Corporation was expected to begin regular-way trading on August 4, 2026, under the NYSE ticker ADIG. Its filing history includes one original Form 10-12B and three Form 10-12B/A amendments.

Within these filings, Exhibit 99.1, Information Statement, includes Item 1A. Risk Factors, which presents the risks in plain English.

Chronological Delta Slicing System SM converts dense regulatory text into a structured comparative delta analysis, delivered as a CSV organized as follows in the following illustration.

chronological delta slicing system

Chronological Delta Slicing System SM pinpoints the timeline of corporate decisions within Item 1A. Risk Factors, with each run – see descriptions below – producing its own CSV. The same five lenses are consistent with all runs and all spinoffs.

adig spinoff investor takeaways

Sequential Slicing: The Structural Evolution of ADIG
Imagine reading only the first and last draft of a contract. You’d know where it started and where it ended, but you’d miss when important decisions were made. Sequential slicing captures every meaningful step in between.

Since there are weeks between each SEC filing for ADIG, the Chronological Delta Slicing System SM is invoked after each filing is made available. Below is a differentiated run briefings after each run.

adig spinoff run 1 run 2 run 3 briefings

Chronological Delta Slicing System SM and NotebookLM Pro work together to support better decision-making and provide the following value as shown below.

formats for deliverables

Chronological Delta Slicing System SM uses Python and Gemini 2.5 Pro on Google Cloud to extract, isolate, and track exact text changes across sequential SEC filings, with a focus on Exhibit 99.1 Item 1A Risk Factors.

Before any report is delivered, our validation process checks that the underlying dataset is complete, internally consistent, and free of structural errors. Every conclusion is based on verified source data.

Visual Side-by-Side Comparison

Effect Hours of manual redlining across separate PDFs Instant automated sequential comparative analysis
Output Dense legalese across multiple versions Actionable risk matrix and podcast-style audio briefing
Focus Static document snapshots One chronological timeline of true management shifts

READY TO MOVE BEYOND THE BRIEFINGS?

Five Real-World Business Cases

1. Executive Purpose & Strategic Rationale

Corporate spinoffs are among the most complex, high-stakes events in public equity markets. Because these transactions represent a complete restructuring of assets, liabilities, and corporate governance, they cannot be evaluated using traditional, backward-looking financial screening tools.
When a parent company files an initial registration statement (Form 10-12B), it is frequently a skeleton placeholder. The critical operational details—such as finalized debt covenants, transitional services pricing, parent-retained equity overhangs, and tax indemnification boundaries—are quietly filled in across consecutive amendments (Form 10-12B/A) and associated Information Statements (Exhibit 99.1).

The “Overlooked Delta” Blind Spot
Standard institutional research processes suffer from a severe structural blind spot. Financial databases typically overwrite previous filings, preserving only the “current” state of a document. Analysts attempting to perform delta analysis are forced to manually compare thousands of pages of dense, highly repetitive legal prose across multiple draft iterations of Exhibit 99.1 Information Statements.

2. Real-World Business Cases: The Forensic Evidence

The model’s value is demonstrated across five distinct spinoff transactions, uncovering critical risk indicators that would have easily bypassed standard quantitative screens:

Case A: ADI Global Distribution (ADIG) — Tracing Leverage Creep

  • The Run 2 vs. Run 3 Delta: Comparing the Second and Third Amendments revealed a quiet  $100 million escalation in the Term Loan (stepping up from $500 million to $600 million), pushing total funded starting debt to $1.0 billion (3.14x  Adjusted EBITDA) to fund a cash dividend back to the parent, Resideo (REZI).
  • The Governance Gem: Run 3 successfully captured the transition where the CD&R Group’s preferred voting power placeholder was finalized at exactly 19.69% with two dedicated board seats, allowing analysts to accurately model minority shareholder discount risks weeks before trading opened.

Case B: Honeywell Aerospace (HONA) — Unmasking Carve-Out Accounting

  • The Run 1 Delta: Identified that while historical segment earnings showed a highly profitable segment, the standalone pro forma adjustments revealed a 46%  collapse in Net Income (from $2,687 million  down to $1,444 million).
  • The Insight: The model flagged that nearly half of the segment’s profitability was instantly vaporized by $859 million in new interest expenses and $631 million in standalone corporate overhead. This proved the danger of valuing the company based on legacy parent segment reporting.

Case C: Midera Food Processing (MFP) — Identifying Opportunistic Entry Points

  • The Delta: Detected a highly unusual, positive financial de-risking event. The planned post-spin debt load was reduced by -$26.5 million and the cash extraction dividend back to the parent, Middleby, fell by -$27 million.
  • The Insight: The model instantly flagged this as a potential green light for equity investors, signaling either conservative financial policy adjustments or superior pre-spin cash generation by the subsidiary.

Case D: Mobility Global (MBGL) — Catching Covenant Ceilings

  • The Delta: Captured the shift from completely un-priced, vague debt intentions to three concrete tranches of senior notes totaling $2.0 billion and, crucially, the late-stage introduction of a 3.50x  net leverage covenant limit.
  • The Insight: This structural change gave credit analysts a definitive ceiling to model, mapping out the exact margin contraction threshold that would trigger a default event post-separation.

Case E: FedEx Freight (FDXF) — Mapping Major De-Risking Events

  • The Delta: Identified a crucial legal transition where the spin-off’s tax-free status shifted from being dependent on a “written legal opinion from Skadden” to having received a formal Private Letter Ruling (PLR) from the IRS.
  • The Insight: A PLR provides a near-bulletproof layer of tax certainty, fundamentally reducing the catastrophic contingent liability risk of a multi-billion dollar retroactive tax-sharing indemnity.

3. How the Model Achieves the Ultimate Research Goal

This engine was built to achieve three core investment research objectives:

I. Support Ongoing Learning about Corporate Events

By institutionalizing the tracking of amendments, the model acts as an interactive repository of corporate behavior. Users learn exactly how corporate parents balance capital structure, how private equity firms (like CD&R in ADIG ) negotiate minority voting rights, and how Transitional Services Agreements (TSAs) are structured to protect margins.

II. Improve Institutional Decision-Making

Instead of relying on late-stage marketing decks or broker summaries, investment committees can base their underwriting decisions on the exact legal and quantitative changes made in SEC filings. For example, knowing that ADIG carries a dual-layered tax indemnity obligation to both Resideo and Honeywell provides a definitive risk boundary for stress-testing cash flows.

III. Identify Meaningful Changes & Overlooked Insights

The model automatically flags subtle shifts in legal wording that humans easily miss. Examples include catching when a parent company increases a post-separation trademark royalty fee, or when an environmental liability indemnity caps its parent reimbursement obligation. These “micro-edits” can represent tens of millions of dollars in unexpected standalone expenses.

4. Summary Matrix of Transaction Types

READY TO MOVE BEYOND THIS CASE?

Auditor’s Verification Playbook

The Auditor’s Verification Playbook serves as a strategic manual designed for institutional financial professionals to validate the precision of data generated by an SEC Spinoff Scanner, branded as the Chronological Delta Slicing System SM. By providing a standardized set of ten specialized prompts for use within NotebookLM Pro, the guide enables users to cross-reference automated CSV outputs against original SEC EDGAR filings. This rigorous process ensures that critical financial metrics, such as debt covenants, governance shifts, and tax indemnification, are anchored in verbatim source text to eliminate AI hallucinations. Ultimately, the document functions as a high-level due diligence tool that provides grounded proof for risk officers and analysts evaluating the complexities of corporate separations.

API and SDK Documentation

Documentation Availability

Upon request, we will provide API and SDK documentation for our SEC Spinoff Scanner API, branded as the Chronological Delta Slicing System SM.

Platform Overview

The platform is an AI-powered analytical engine that:

  • Ingests SEC Form 10-12B filings
  • Uses Gemini 2.5 Pro to perform comparative delta analysis
  • Produces structured investment insights

Technical Specification and Audience

The documentation describes the production Google Cloud Run service and Google Apps Script pipeline in an industry-standard OpenAPI 3.0 specification. It is designed for institutional clients, prospective hedge funds, and data licensees.