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$AAPL· Apple Inc.$182.63 ▲ 1.24%Last analyzed 2d ago

Story

Snapshot

Charts

Demand

Summary

Red Flags

Financials

Risk Factors

Management

Annual Report · Jan 31, 2024

Apple Inc.AAPL

$182.63

+2.27 (+1.26%)

Live Price · Market Open

Medium Risk

The Bottom Line

Apple is a mature cash machine with a Services engine accelerating toward 30%+ margins. iPhone decline is a near-term risk but buybacks and ecosystem lock-in support long-term value.

Key Numbers

Revenue

$383.3B

↑ +2.8%

Grew modestly; services offset hardware softness

Gross Margin

45.9%

↓ −0.2pp

Product mix shift toward base iPhone 15 compressed margins

Operating Income

$114.3B

↑ +9.9%

High-margin Services revenue growing faster than costs

Free Cash Flow

$99.6B

↑ +17%

Best FCF in company history — funded $77.5B in buybacks

For Every $1 of Revenue

Cost of Revenue

54¢

Gross Profit ↳

46¢

Operating Expenses

16¢

Operating Income ↳

30¢

Net Income ↳

25¢

Where the Revenue Comes From

iPhone

52%

+2%

Services

22%

+11%

Mac

-27%

iPad

-3%

Wearables

11%

-3%

3 Things to Know

iPhone revenue declined for the first time since 2016 — could signal peak hardware cycle or China competition impact

Services revenue grew to $85.2B with 70%+ margins — this is where Apple's future multiple is priced

Management guided Q1 2024 similar to Q1 2023 — no growth acceleration in sight near-term

Bull Case

Services is on track for $100B/yr — a recurring, high-margin business that rerates the multiple. Installed base of 2B+ devices creates structural demand.

Bear Case

iPhone is 52% of revenue with no clear next catalyst. China regulatory risk is real. Trading at 28x earnings — expensive for 2-3% top-line growth.

The Problem

Standard AI gets financials wrong.
Most of the time.

Investors using ChatGPT or generic LLMs to read company financial reports face a critical problem: hallucinated numbers, misread tables, and answers that can't be trusted for trading decisions.

83%

Error rate linking numbers to accounting concepts in standard LLMs

200+

Pages in a typical financial report — impossible to read manually before earnings season

Cost of official SEC data — but zero tools actually use the raw XBRL layer

The Architecture

Built different. Not just another
AI wrapper.

Zero Hallucinations

XBRL-Verified Numbers

Every financial figure shown is pulled directly from official financial reports filed with the SEC — the same structured data companies are legally required to submit. The AI never guesses a number. It only interprets figures that have already been verified at the source.

How it works

Official SEC data → verified facts

AI adds plain-English context only

Numbers never generated by model

Multi-Agent Pipeline

8 Parallel AI Analysts

Instead of one slow generic call, the report is split across 8 specialized agents running in parallel — each focused on a single analytical dimension.

Red FlagsFinancialsRisksManagementUnit EconomicsDemand ForecastDeep InsightsStory

Dynamic Chat

30K Context. No Leakage.

Chat is grounded strictly in the filing. The model cannot drift to external data — every answer is cited back to the actual document text.

Analytical Edge

The signals buried inside
200 pages of financial reports.

Unit Economics

Revenue per unit. Cost per customer. Margin per product.

Extracts micro-level KPIs scattered across paragraph text — CAC, LTV proxies, revenue-per-unit, and contribution margins. Critical for valuing growth and tech companies.

Vehicles delivered · Avg selling price · Revenue per segment · YoY unit delta

Demand Forecasting

What management is signaling. Not what they're saying.

Semantic analysis of management guidance to surface forward-looking demand signals — inventory warnings, inflation impacts, backlog growth, and sales trajectory.

Guidance extraction · Inventory signals · Backlog analysis · Growth trajectory

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Every processing step is streamed back via SSE in real-time. Not a spinner — a live progress feed. Users watch the analysis build, which converts wait-time into trust-building.

Finding the report...

Identifying Red Flags...

Analyzing Financials...

Forecasting Demand...

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