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RYET

Ruanyun Edai Technology Inc. Ordinary shares

RYET

Ruanyun Edai Technology Inc. Ordinary shares NASDAQ
$0.99 1.02% (+0.01)

Market Cap $33.41 M
52w High $21.00
52w Low $0.66
Dividend Yield 0%
P/E -99
Volume 8.96K
Outstanding Shares 33.75M

Income Statement

Period Revenue Operating Expense Net Income Net Profit Margin Earnings Per Share EBITDA
Q4-2023 $3.21M $915.006K $759.102K 23.645% $0.022 $878.341K
Q4-2022 $3.728M $1.659M $-664.08K -17.813% $-0.019 $-497.872K

Balance Statement

Period Cash & Short-term Total Assets Total Liabilities Total Equity
Q4-2025 $673.397K $5.875M $6.381M $-161.8K
Q2-2025 $1.708M $7.172M $7.84M $-388.033K
Q4-2024 $1.101M $5.219M $5.19M $240.263K
Q4-2023 $1.78M $8.035M $5.881M $2.29M
Q3-2023 $2.349M $7.281M $5.878M $1.525M

Cash Flow Statement

Period Net Income Cash From Operations Cash From Investing Cash From Financing Net Change Free Cash Flow
Q4-2023 $745.226K $-303.982K $-113.168K $-30.02K $-436.591K $-417.15K
Q4-2022 $-642.014K $-1.513M $-571.192K $1.235M $-848.479K $-2.084M

Five-Year Company Overview

Income Statement

Income Statement The income statement shows a company that is still at an extremely early, almost “pre-commercial” stage. Reported revenue has been tiny and flat for several years, and profits are essentially break-even or slightly negative from year to year. That suggests the business is not yet scaled, and current results do not reflect the potential of its technology story. Earnings per share have bounced around a small loss, which is typical for a young, R&D-heavy platform that is still building products and markets rather than harvesting mature profits. Overall, the income statement today tells more of a “development phase” story than an established operating business.


Balance Sheet

Balance Sheet The balance sheet appears very light, with only a small base of assets and essentially no reported debt. That points to a lean, asset-light model focused on software and intellectual property rather than heavy physical infrastructure. At the same time, equity and cash balances also look minimal, which can mean limited financial cushion and a likely dependence on external funding, such as IPO proceeds or future capital raises, to fuel growth and R&D. In short, the company is financially simple and relatively unlevered, but it does not yet have the balance sheet depth of a scaled, self-funding enterprise.


Cash Flow

Cash Flow Cash flow figures are essentially flat and near zero, which usually indicates that operations have not yet ramped to a point where they generate meaningful cash or require large outlays for expansion. Capital spending also appears minimal, which fits an early-stage software and AI business still proving out product–market fit and building relationships. The main implication is that traditional cash-flow analysis is not very informative here yet; the key questions are how quickly the company can convert its partnerships and products into recurring cash inflows, and how much external capital it may need along the way.


Competitive Edge

Competitive Edge Competitively, the company is trying to carve out a focused niche in AI-driven K–12 education and Chinese-language learning. Its strengths lie in deep integration with schools, a large localized dataset from its homework and exam platforms, and a business model that works directly with institutions rather than just consumer tutoring. That can create stickiness and high switching costs once embedded. However, it operates in a crowded and fast-moving Chinese ed‑tech space, facing larger and better-funded competitors. Its regional depth in certain provinces and its specialization in foundational learning and assessments give it a differentiated angle, but its long-term position will depend on how well it scales beyond its core regions and maintains strong relationships with education authorities.


Innovation and R&D

Innovation and R&D Innovation is the clear centerpiece of the story. The company has built a suite of AI-powered products: personalized homework and exam systems, a multimodal AI engine for complex document understanding, and an AI-driven Chinese language learning platform with global ambitions. These tools rely heavily on proprietary data and in-house AI capabilities rather than generic third-party technology, which can strengthen its differentiation if execution is strong. The push into international markets, such as partnerships in the Middle East for Chinese language learning, shows an attempt to turn R&D into diversified revenue streams. A key watch point is whether IPO funds are effectively channeled into continued product improvement, expansion of the AI engine into new use cases, and steady enhancement of core education platforms to stay ahead of rivals.


Summary

Overall, RYET currently looks like a story driven far more by technology, data, and partnerships than by mature financial performance. The reported financials are tiny and do not yet demonstrate scale, profitability, or strong internal cash generation; they mainly signal that this is an early-stage, asset-light, growth-oriented business. On the other hand, the company appears to have built a distinctive AI-based product ecosystem tightly integrated into formal education workflows, backed by a meaningful proprietary dataset and early international initiatives. The main opportunities lie in turning this innovation and integration into durable, recurring revenue across more regions and verticals. The main risks are execution, regulatory complexity in education, intense competition from larger players, and the need for ongoing funding while the business is still in build-out mode. For now, RYET is best understood as an emerging ed‑tech and AI platform whose long-term value will depend on how effectively it converts its promising technology and partnerships into a stable and scalable business model.