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IGTAR

Inception Growth Acquisition Limited

IGTAR

Inception Growth Acquisition Limited NASDAQ
$0.20 0.00% (+0.00)

Market Cap $604200
52w High $0.20
52w Low $0.20
Dividend Yield 0%
P/E 0
Volume 10.00K
Outstanding Shares 3.02M

Income Statement

Period Revenue Operating Expense Net Income Net Profit Margin Earnings Per Share EBITDA
Q3-2025 $0 $290.485K $-267.913K 0% $-0.1 $0
Q2-2025 $0 $503.808K $-470.507K 0% $-0.17 $-503.808K
Q1-2025 $0 $166.314K $-128K 0% $-0.049 $-166K
Q4-2024 $0 $340.883K $-88.463K 0% $-0.083 $362.206K
Q3-2024 $187.825K $209.215K $-43.594K -23.21% $0.001 $-209.215K

Balance Statement

Period Cash & Short-term Total Assets Total Liabilities Total Equity
Q3-2025 $9.063K $2.265M $7.153M $-7.088M
Q2-2025 $59.063K $2.255M $6.874M $-6.758M
Q1-2025 $2.791K $3.68M $6.578M $-2.898M
Q4-2024 $4.295K $3.61M $6.379M $-2.769M
Q3-2024 $11.295K $14.736M $5.88M $-5.849M

Cash Flow Statement

Period Net Income Cash From Operations Cash From Investing Cash From Financing Net Change Free Cash Flow
Q3-2025 $-267.913K $-532.499K $-139.75K $622.249K $-50K $-532.499K
Q2-2025 $-470.507K $-335.401K $1.572M $-1.181M $56.272K $-335.401K
Q1-2025 $-128K $-60.109K $-33.599K $92.204K $-1.504K $-60.109K
Q4-2024 $-132.871K $-75.447K $11.267M $-11.198M $-7K $-75.447K
Q3-2024 $6.876K $-146.168K $-150K $223.8K $-72.368K $-461.237K

Five-Year Company Overview

Income Statement

Income Statement IGTAR’s income statement reflects what it is: a shell / SPAC, not an operating business. There is effectively no revenue or operating activity in recent years, so past results don’t tell you much about the earning power of the future combined company. The small, slightly positive earnings per share in recent years are more about SPAC mechanics and interest / one‑off items than about a real business generating profits. Any meaningful future revenue and profit story will depend almost entirely on AgileAlgo (to be Prodigy, Inc.), not on IGTAR’s historical financials.


Balance Sheet

Balance Sheet The balance sheet is tiny and has recently shrunk, with assets now almost fully wound down and equity slipping slightly negative. That’s typical for a SPAC near the end of its lifecycle, as funds are either used for deal-related costs or returned to shareholders, and little remains at the shell level. These figures do not reflect the scale, assets, or capital structure of the post‑merger AI business; they mainly show that IGTAR, as a standalone entity, is just a financial vehicle with minimal residual value rather than an operating platform.


Cash Flow

Cash Flow Reported cash flow is essentially flat, which again is consistent with a non‑operating shell. There is no visible pattern of cash being generated from customers or invested in projects, only basic corporate existence. For any forward-looking view, the relevant cash flow questions are about AgileAlgo: how quickly it can convert pilots and projects into recurring revenue, how much it must spend on engineers and infrastructure, and how efficiently it can scale. None of that is visible in IGTAR’s historical cash flow data.


Competitive Edge

Competitive Edge IGTAR itself has no operating competitive position; its relevance comes from the planned merger with AgileAlgo. AgileAlgo aims to carve out a niche in “natural language to code” for enterprise AI and data platforms. Its edge is an automation platform that lets non‑technical staff describe what they want in plain language and get working AI applications, potentially reducing dependence on large offshore development teams. If executed well, this could give the combined company a differentiated role in a crowded AI market, but it will compete against both consulting firms and major tech players offering AI tooling. Market awareness, proof of consistent results at scale, and the ability to win and retain corporate customers will be critical tests of that competitive position.


Innovation and R&D

Innovation and R&D The real innovation story sits with AgileAlgo, not IGTAR. AgileAlgo focuses on turning natural language requirements into production-grade AI code, emphasizing everyday, practical AI instead of massive, one‑off projects. It uses advanced techniques (like graph-based models) behind the scenes, but the value proposition is simple: faster, cheaper, and more accurate build‑out of AI workflows and analytics. The company also talks about expanding through acquisitions of IT consulting outfits and building a broader ecosystem of partners. This is ambitious and suggests a strong innovation agenda, but it also implies significant execution risk and a need for sustained investment in research, engineering, and integration capabilities.


Summary

IGTAR’s historical financials are largely beside the point: as a SPAC, it has no real revenue, no operating cash flow, and only a small, now largely depleted balance sheet. The key story is the proposed transformation into Prodigy, Inc. through the merger with AgileAlgo, an AI company trying to industrialize the way enterprise software and AI solutions are built. If the deal closes and AgileAlgo scales successfully, the combined entity could be positioned at an interesting intersection of AI tools, automation, and IT services, with a technology that aims to make AI development accessible to non‑experts. At the same time, this is an early‑stage, high‑uncertainty situation: the company must prove product‑market fit across multiple industries, build a customer base, secure partnerships, and compete with much larger AI and software vendors. Any assessment of future prospects should focus on AgileAlgo’s traction with real paying customers, its ability to deliver consistent results at scale, and how it manages the risks of rapid growth in a very competitive AI landscape.