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In-Depth Analysis of the Hongjiu Fruit Delisting Case: Methodology for Identifying Financial Fraud in Agricultural Enterprises

#financial_fraud #delisting #case_study #agriculture #supply_chain #risk_management
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January 7, 2026

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In-Depth Analysis of the Hongjiu Fruit Delisting Case: Methodology for Identifying Financial Fraud in Agricultural Enterprises

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Based on in-depth investigations, I will provide you with a comprehensive analysis of the Hongjiu Fruit delisting case, as well as a professional methodology for identifying financial fraud in agricultural enterprises.


I. Overview of the Hongjiu Fruit Delisting Case
1.1 Company Background and Capital History

Hongjiu Fruit (Stock Code: 06689.HK) was founded in 2002, with its headquarters in Chongqing, and is a full-industry chain operation group focusing on high-end imported fruits and domestic fruits [1]. The company takes an “end-to-end” supply chain model as its core competitiveness, and its main business covers the procurement and distribution of imported fruits such as Thai durians, mangosteens, Vietnamese dragon fruits, Chilean cherries, etc. [2].

Key Milestones:

  • September 5, 2022
    : Listed on the Hong Kong Stock Exchange (HKEX) at an issue price of HK$40 per share, with a market capitalization of HK$18.7 billion on its first trading day, known as the “Fruit First Stock” [1]
  • Full Year 2022
    : Achieved operating revenue of RMB 15.081 billion, a year-on-year increase of 46.7%; net profit of RMB 1.452 billion, a year-on-year increase of 397.95% [1]
  • March 20, 2024
    : Suspended from trading due to failure to disclose its 2023 annual report on time [2]
  • December 30, 2025
    : Officially delisted from the HKEX [1]
1.2 Delisting Timeline
Time Node Event
March 20, 2024 Suspended from trading due to failure to disclose the 2023 annual report
April 2024 Auditor KPMG resigned, questioning the flow of RMB 3.42 billion in prepayments
January 2025 Public security authorities opened a criminal investigation, and 6 senior executives were taken under compulsory criminal measures
April 2025 Chairman Deng Hongjiu, Director Peng He, etc. were arrested on suspicion of obtaining loans by fraud and issuing value-added tax invoices fraudulently
October 3, 2025 HKEX Listing Committee decided to cancel its listing status
December 30, 2025 Officially delisted

II. Analysis of Core Financial Anomaly Signals
2.1 Prepayment Anomalies — Core Clues to Financial Fraud

Prepayment Black Hole Revealed by KPMG’s Audit:

According to the report from auditor KPMG, as of the end of 2023, Hongjiu Fruit’s prepayment balance was approximately

RMB 4.47 billion
, of which prepayments to certain suppliers in the fourth quarter of 2023 reached
RMB 3.42 billion
, accounting for
76.6%
of the total annual prepayments [1]. This data presents the following serious anomalies:

Prepayment Anomaly Signal Identification Checklist:
Anomaly Feature Hongjiu Fruit Case Risk Interpretation
Abnormal Supplier Qualifications
Registered capital is less than 10% of the prepayment amount, and the number of social security participants is zero Suspected “shell company”; funds may be transferred out through related-party transactions
Concentration of New Counterparties
Most are new suppliers added in 2023 with no historical transaction records Lack of commercial substance, suspicion of fictitious transactions
Extremely Low Goods Return Rate
Only RMB 450 million worth of goods were returned after paying RMB 1.52 billion in January 2024 Funds may be embezzled or used for fictitious purchases
Abnormal Payment Timing
Concentrated in the fourth quarter (financial reporting season) Suspected profit adjustment or fictitious assets through prepayments
2.2 Analysis of Inventory Turnover Days and Accounts Receivable

Severe Divergence Between Cash Flow and Profits:

Hongjiu Fruit exhibited a typical financial structure of “high accounts receivable + long credit periods”, which is seriously inconsistent with the normal business logic of the fruit distribution industry.

Financial Indicator Value Industry Comparison Risk Signal
Trade Receivables RMB 8.673 billion Accounts for 62% of current assets Extremely weak downstream bargaining power
Accounts Receivable Turnover Days 188.5 days Approximately 60-90 days in the industry Excessively long collection period, severe capital precipitation
Accounts Payable Ratio 18% 18% of current liabilities Severe asymmetry between upstream prepayments and downstream long-term receivables
Cash Reserves RMB 557 million Short-term borrowings of RMB 2.776 billion Capital chain is on the verge of breaking

Sustained Negative Operating Cash Flow:

Period Net Profit Operating Cash Flow Degree of Divergence
First Half of 2023 RMB 803 million -RMB 314 million Severe divergence
Cumulative from 2019 to H1 2023 Approximately RMB 4 billion -RMB 4.45 billion Long-term cash outflow

III. Characteristics and Identification Framework of Financial Fraud in Agricultural Enterprises
3.1 Special Motivations for Financial Fraud in Agricultural Enterprises

Agricultural enterprises have the following industry characteristics, making them a “high-risk area” for financial fraud:

  1. Difficulty in Inventory Verification

    • Agricultural products have short shelf lives and are prone to spoilage
    • Biological assets are difficult to count accurately
    • Information blind spots exist in the cold chain logistics link
  2. Scattered Transaction Counterparties

    • Upstream suppliers are mostly farmers or small cooperatives
    • Downstream customers cover numerous small and medium-sized retailers
    • High proportion of cash transactions, making voucher verification difficult
  3. Dependence on Government Subsidies

    • Agricultural-related enterprises enjoy VAT exemptions and special subsidies
    • Subsidy income may become a tool for profit adjustment
3.2 Anomaly Identification Model for Inventory Turnover Days

Inventory Turnover Days (DIO) Calculation Formula:

Inventory Turnover Days = (Average Inventory ÷ Operating Cost) × 365

Inventory Turnover Anomaly Signals for Agricultural Enterprises:

Anomaly Type Manifestations Possible Fraud Methods
Sudden Increase in Turnover Days
Increased from 90 days to over 180 days in a short period Fictitious sales or delayed cost recognition
Divergence from Revenue
Revenue grows but inventory turnover slows Fictitious purchases to absorb prepayments
Discrepancy Between Book and Physical Inventory
Significant difference between book inventory and actual physical count Fictitious inventory assets
Abnormal Impairment Provision
Large-scale provision/reversal to adjust profits Manipulating performance using inventory impairment

Inventory Issues in the Hongjiu Fruit Case:

Although Hongjiu Fruit’s main issues were concentrated in prepayments, its “end-to-end” supply chain model led to:

  • Full prepayment required upstream to lock in supply
  • Long credit period for downstream sales leads to capital precipitation
  • 50% plunge in durian prices exacerbated inventory impairment pressure
  • Capital chain rupture triggered a systemic crisis
3.3 In-Depth Identification of Prepayment Anomalies

Common Prepayment Fraud Models:

┌─────────────────────────────────────────────────────────────┐
│                    Prepayment Financial Fraud Models        │
├─────────────────────────────────────────────────────────────┤
│                                                             │
│  Model 1: Fictitious Procurement                            │
│  Enterprise → Related Party/Shell Company (Prepayment) →    │
│  Fictitious Transaction → Inflated Profits                  │
│                                                             │
│  Model 2: Capital Occupation                                │
│  Enterprise → Supplier (Prepayment) → Funds Return to        │
│  Related Parties → Listed Company's Funds Occupied           │
│                                                             │
│  Model 3: Money Laundering Channel                          │
│  Enterprise → Supplier (Prepayment) → Fictitious Transaction │
│  → Asset Transfer                                           │
│                                                             │
└─────────────────────────────────────────────────────────────┘

Prepayment Risk Warning Indicators:

Warning Indicator Threshold Hongjiu Fruit Case
Prepayment/Operating Revenue Ratio >15% Approximately 33% (RMB 4.47 billion / RMB 13.4 billion)
Single Supplier Concentration >20% Highly concentrated in new suppliers
Proportion of New Suppliers >30% Approximately 76% are new counterparties
Prepayment Aging >1 year Abnormal goods return cycle for some suppliers
3.4 Comprehensive Identification of Non-Financial Signals
Signal Category Specific Manifestations Verification in Hongjiu Fruit Case
Governance Structure
Excessively high family shareholding ratio, lack of independent directors Deng Hongjiu and his spouse hold over 46% of shares
Audit Warnings
Change of auditor, receipt of modified audit opinions KPMG resigned
Senior Management Abnormalities
Frequent share reductions, share pledges Pledge financing risks exposed
Regulatory Intervention
Criminal investigation initiated, inquiry letters issued 6 senior executives were taken under compulsory measures
Business Model
Financial structure inconsistent with industry logic “High prepayment + long accounts receivable” model

IV. Practical Checklist for Identifying Financial Fraud
4.1 Investor Self-Inspection Checklist

Step 1: Cross-Verification of Financial Data

  • [ ] Verify whether revenue growth rate matches industry growth rate
  • [ ] Calculate the matching degree between operating cash flow and net profit
  • [ ] Analyze the changing trend of accounts receivable turnover days
  • [ ] Track the qualifications and changes of prepayment recipients

Step 2: Penetration Verification of Suppliers/Customers

  • [ ] Verify the industrial and commercial registration information of suppliers receiving large prepayments
  • [ ] Verify registered capital, number of social security participants, and business scope
  • [ ] Track the transaction history of new suppliers
  • [ ] Verify the matching degree between goods return rate and payment amount

Step 3: Rationality Analysis of Business Model

  • [ ] Evaluate the sustainability of the “high prepayment + long accounts receivable” model
  • [ ] Calculate the difference between capital cost and gross profit margin
  • [ ] Verify the matching degree between expansion speed and cash flow support

Step 4: Monitoring of Non-Financial Signals

  • [ ] Pay attention to the reasons for auditor changes and resignations
  • [ ] Track senior management changes and share pledge situations
  • [ ] Monitor regulatory inquiry and penalty announcements
4.2 Unique Risk Indicators for Agricultural Enterprises
Indicator Name Calculation Method Risk Threshold
Inventory Loss Rate Loss Amount ÷ Operating Revenue Pay attention if >5%
Cash Procurement Ratio Cash Procurement ÷ Total Procurement Be alert if >30%
Subsidy Income Ratio Subsidy Income ÷ Net Profit Re-examine if >50%
Related-Party Procurement Ratio Related-Party Procurement ÷ Total Procurement Conduct penetration verification if >20%

V. Case Insights and Investment Recommendations
5.1 Lessons from Hongjiu Fruit’s Financial Collapse
  1. Beware of the “High Growth + High Accounts Receivable” Combination

    • 2019-2022: Operating revenue soared from RMB 2.08 billion to RMB 15.08 billion, with a compound annual growth rate of 93%
    • During the same period, the operating cash flow gap expanded from RMB 450 million to RMB 1.82 billion
    • The strategy of “trading cash flow for scale” is unsustainable
  2. Attach Importance to the “Capital Occupation” Function of Prepayments

    • RMB 3.42 billion in prepayments flowed to new suppliers with questionable qualifications
    • Funds may have been transferred out of the listed company through related-party transactions
    • Professional doubts from auditors are important risk warnings
  3. Understand the Structural Defects of the Industry Model

    • The “high prepayment + long accounts receivable” model in the fruit distribution industry has inherent shortcomings
    • Cold chain logistics coverage is less than 30%, with a loss rate of 15%-20%
    • The contradiction between weak upstream bargaining power and long downstream credit periods is difficult to reconcile
5.2 Investment Risk Warnings

For agricultural and fresh produce supply chain enterprises, investors should focus on the following risk signals:

  • Sustained divergence between cash flow and profits
    : Beware of “paper profit” enterprises
  • Abnormal structure of prepayments/accounts receivable
    : Pay attention to the rationality of fund flows
  • Questionable supplier qualifications
    : Verify the authenticity of transaction counterparties
  • Auditor warning signals
    : Attach importance to modified audit opinions and resignation announcements
  • Frequent changes in senior management
    : Beware of early signs of governance failure

VI. Conclusion

Hongjiu Fruit went from the “Fruit First Stock” to delisting in only about 40 months. Its financial collapse process profoundly reveals the typical path of financial fraud in agricultural enterprises. Through comprehensive analysis of multi-dimensional signals such as prepayment anomalies, inventory turnover day anomalies, and divergence between cash flow and profits, investors can build an effective financial early warning system.

Core Identification Points:

  1. Prepayment anomalies
    are the most direct danger signals, especially large-scale, concentrated prepayments to new suppliers
  2. Abnormal inventory turnover days
    reflect business authenticity and inventory quality
  3. Divergence between cash flow and profits
    is a key indicator for identifying “paper profits”
  4. Non-financial signals
    (governance structure, audit warnings, regulatory intervention) provide important supplementary verification

References

[1] Economic Observer - Hongjiu Fruit Delisting Insights: Fruit Distributor Collapses Due to Cash Flow (https://finance.sina.com.cn/stock/s/2026-01-04/doc-inhfctqm0279011.shtml)

[2] 36Kr - Behind Hongjiu Fruit Chairman’s Criminal Case: Financial Fraud, Model Dilemmas and Industry Shuffle Storm (https://m.36kr.com/p/3253982989395464)

[3] The Beijing News - Delisted in Only 3 Years: What Happened to the “Fruit First Stock” Hongjiu Fruit? (https://m.bjnews.com.cn/detail/1767171979169215.html)

[4] Sina Finance - How Financial Experts Discovered Hongjiu Fruit’s Financial Fraud (https://finance.sina.com.cn/stock/relnews/hk/2025-04-17/doc-inetnmtt9027479.shtml)

[5] CORE - Analysis of Financial Fraud Characteristics of Listed Companies (https://www.core.ac.uk/download/pdf/343511296.pdf)

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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.