In-Depth Analysis of Liqi Intelligent's IPO and Litigation Disputes
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Based on search results, I have obtained detailed information about Liqi Intelligent’s IPO and litigation disputes. The following is a systematic analysis for you.
Liqi Intelligent (Wuxi Liqi Intelligent Equipment Co., Ltd.) is a core equipment supplier of intelligent lithium battery material processing systems, known as the ‘precision meal preparer’ for the lithium battery industry. The company’s main business is to provide slurry preparation solutions, which involve accurately measuring and mixing positive/negative electrode powders with auxiliary materials into a uniform slurry. The proportioning accuracy of this process must reach one thousandth, which directly affects battery capacity, lifespan, and safety performance[1][2].
| Year | Operating Revenue | YoY Growth |
|---|---|---|
| 2022 | RMB 619 million | - |
| 2024 | RMB 2.173 billion | Approximately 251% |
| H1 2025 | Approximately RMB 1 billion | Sustained growth |
Liqi Intelligent is currently facing
| Date | Plaintiff | Litigation Claim | Amount |
|---|---|---|---|
| December 16, 2024 | Zhongding Intelligent | Dispute over performance of equipment procurement contract, claiming payment of goods and compensation for overdue payment losses | RMB 11.53 million |
| March 3, 2025 | Liqi Intelligent (Counterclaim) | Claiming return of payment, overdue interest, and liquidated damages | RMB 700,000 + RMB 11.46 million |
| Plaintiff | Case Cause | Amount Involved |
|---|---|---|
| Jiangsu Luyaozhi Information Technology Co., Ltd. | Dispute over performance of contract for work | RMB 2.04 million |
| Fujian Zhongke Lanjian Intelligent Equipment Technology Co., Ltd. | Dispute over performance of equipment procurement contract | RMB 1.09 million |
These lawsuits seem to be contract performance disputes between enterprises, but they actually hit the
- The general contractor (such as Liqi Intelligent) only needs to pay its suppliers after receiving payments from its own clients (such as battery manufacturers)
- Forms a “pass the parcel” style capital pressure transmission chain
- Risks are ultimately passed to small and medium-sized enterprises at the end of the industry chain[1][2]
Lu Kelin, an International Certified Innovation Manager, pointed out that the lithium battery expansion wave has lengthened the “acceptance-mass production-ramp-up” cycle: equipment manufacturers first advance funds to build production lines, while battery manufacturers only conduct acceptance after receiving government subsidies, vehicle model announcements, and the stabilization of lithium carbonate prices. The misalignment in rhythms has led to the downward transmission of cash flow pressure layer by layer[1][2].
| Indicator | Data | Evaluation |
|---|---|---|
| Asset-Liability Ratio (H1 2025) | 71.05% | At a high level |
| Total Current Liabilities | RMB 3.262 billion | Relatively high pressure |
| Accounts Receivable Turnover Days (2024) | 55 days | Rebounded from 35 days in 2023 |
- The company has proactively disclosed litigation risks, complying with information disclosure requirements
- The amount involved is relatively small compared to the company’s size
- Low business relevance
- Tianyancha data shows that 66.67% of the company’s judicial cases in the past five years were concentrated in 2025, and 66.67% of them were as the defendant
- Involves sales contract disputes and property preservation, with dispute parties including Wuxi Kete Gongchuang, Sanden New Energy, Shanghai Yishang Software, and other enterprises[1][2]
Bo Wenxi, Vice Chairman of the China Enterprise Capital Union, stated:
“Pending litigation does constitute a risk disclosure item in IPO reviews. However, given that the amount involved is relatively small compared to the company’s size, the business relevance is low, and the company has proactively disclosed and prompted the risks, the possibility of it becoming a substantial obstacle to the IPO process in the short term is low. Nevertheless, if the final court judgment results in compensation far exceeding expectations, or triggers chain lawsuits, it may still bring uncertainties to sustainable operations after listing.”[1][2]
- The company’s application was accepted in June 2025, and it has undergone two rounds of inquiries
- It is at the final stage of the IPO process
- Has established partnerships with industry giants including CATL and BYD
- Revenue has grown by over 300% in three years
- Operates in the new energy equipment track, benefiting from industry prosperity
- Sustained capital transmission pressure in the industry chain
- High asset-liability ratio
- Potential chain reactions triggered by lawsuits
The litigation battle between Liqi Intelligent and Zhongding Intelligent is seemingly a contract dispute, but it actually reflects the systemic capital pressure issue in the new energy industry chain under “back-to-back clauses”. The impact of this lawsuit on the IPO needs to be evaluated from the following dimensions:
| Dimension | Assessment |
|---|---|
| Information Disclosure | Proactively disclosed, compliant with regulatory requirements |
| Impact of Amount Involved | Relatively small compared to company size (<5% of net profit) |
| Industry Universality | Peer Zhongding Intelligent is also facing similar lawsuits |
| Judgment Risk | Unfavorable judgment may trigger chain reactions |
[1] Phoenix Net Finance - “Earning RMB 2.2 Billion Annually by Riding on CATL’s Coattails, Liqi Intelligent Engages in a ‘Litigation Battle’ with a Peer Before IPO” (https://h5.ifeng.com/c/vivoArticle/v002OLjNrjgECEFnYt8Qe2pza2FlG--nC8PXBOxtwBXErV8Y__?isNews=1)
[2] Autohome - “Earning RMB 2.2 Billion Annually by Riding on CATL’s Coattails, Liqi Intelligent Engages in a ‘Litigation Battle’ with a Peer Before IPO” (https://chejiahao.autohome.com.cn/info/24761648)
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Insights are generated using AI models and historical data for informational purposes only. They do not constitute investment advice or recommendations. Past performance is not indicative of future results.
About us: Ginlix AI is the AI Investment Copilot powered by real data, bridging advanced AI with professional financial databases to provide verifiable, truth-based answers. Please use the chat box below to ask any financial question.