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Customer Story

Horizon Trade & Distribution

How Horizon Trade & Distribution delivered a filing-verified 3-statement model with Energent.ai

The model had a generic COGS line that worked fine for a single entity. The moment we added a second GCC market, the structure broke. Energent.ai flagged a segment claim I couldn't support from the filing before I would have caught it myself.
Nasser Al-Rashidi, Senior Finance Analyst at Horizon Trade & Distribution
Industry
Trading & Distribution
Market
Gulf Cooperation Council (GCC)
Use case
3-statement model calibration for a lender presentation
Horizon Trade & Distribution

Horizon Trade & Distribution is a mid-size trading group operating as a master distributor across GCC markets. The company sources product from international manufacturers, holds regional inventory, and sells through a network of local sub-distributors and dealers. A small, technically capable finance team owns the group's 3-statement financial model — used for budgeting, investor reporting, and lender covenant tracking.

A generic template broke when the group expanded to a second GCC market

The team's existing 3-statement model carried a single COGS line with no distribution-margin decomposition. It could not separate the cost of goods purchased from manufacturers, the margin retained at the master entity, or the transfer price charged to local sub-distributors. Without that split, consolidated gross profit was not a useful planning metric.

The template also contained no intercompany consolidation elimination logic. In a multi-entity rollup, intercompany revenue between the master and local entities must be eliminated to prevent double-counting. Without it, the consolidated income statement overstated both revenue and COGS.

Calibration required real filing data. The analyst selected Watsco, Inc. — a large publicly traded HVAC distributor — as the comparable. Ten line items across multiple fiscal years needed to be extracted from the 10-K, converted to ratios, and verified against the correct fiscal period. The team had previously circulated models with period-mismatched comparables, caught only during management review.

Lenders had requested an updated, documented model before releasing the next tranche of a revolving credit facility. The analyst had four weeks.

Energent.ai became the extraction, verification, and structure engine

The agent ran a five-step workflow in a single session:

No manual EDGAR navigation. No separate BI workstream. No period-matching errors reaching the final model.

Watsco filing-derived metric table

Self-correcting traceability from source filing to cited figure

Three auditable deliverables in a single session

Consolidation flow visualization

"That's an audit step I would normally spend two days doing manually." — Nasser Al-Rashidi, Senior Finance Analyst at Horizon Trade & Distribution

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