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Baobian Electric (SH600550) Asset-Liability Ratio Analysis Report

#debt_ratio #financial_analysis #risk_assessment #electrical_equipment #manufacturing #capital_structure #liquidity_analysis
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January 20, 2026

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Baobian Electric (SH600550) Asset-Liability Ratio Analysis Report

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Baobian Electric (SH600550) Asset-Liability Ratio Analysis Report
1. Core Data Summary
Indicator Value Evaluation
2024 Asset-Liability Ratio
90.63%
⚠️ Extremely High
5-Year Average Asset-Liability Ratio
87.55% ⚠️ Persistently High
Debt-to-Equity Ratio
1135% 🔴 Excessively High Financial Leverage
Current Ratio
0.89 ⚠️ Weak Short-Term Solvency
Net Debt Ratio
27.96% Relatively Controllable

Baobian Electric Asset-Liability Ratio Analysis


2. Historical Trend Analysis of Asset-Liability Ratio
Year Asset-Liability Ratio Trend
2020 86.58% Base Year
2021 85.88% ↓ Decreased by 0.7%
2022 84.16% ↓ Decreased by 1.7%
2023 90.52% ↑ Increased by 6.4%
2024 90.63% → Flat

Trend Judgment
: The company’s asset-liability ratio showed a slight downward trend from 2020 to 2022, but surged to a high level above 90% in 2023-2024, showing an overall deteriorating trend of “stable first, then rising”.


3. Industry Comparative Analysis
Company/Industry Asset-Liability Ratio Evaluation
Baobian Electric
90.63%
🔴 Significantly High
XJ Electric 50.99% 🟢 Reasonable Level
TBEA 56.63% 🟢 Reasonable Level
Industry Average
Approx. 60-65%
Normal Range
Manufacturing Industry Warning Line 70% ⚠️ Risk Threshold

Conclusion
: Baobian Electric’s asset-liability ratio is
25-30 percentage points higher
than the industry average, ranking
the highest in the industry
, and significantly deviating from the reasonable industry range [0].


4. Comprehensive Assessment
✅ Positive Factors
  1. Adequate Cash Reserves
    : Monetary funds amount to RMB 1.176 billion, which can cover part of short-term debts
  2. Relatively Controllable Net Debt Ratio
    : Approximately 28%, indicating that the net debt pressure is manageable after excluding cash
⚠️ Risk Warnings
  1. Asset-Liability Ratio Far Exceeds Warning Line
    : 90.63% is 20 percentage points higher than the manufacturing industry’s 70% warning line
  2. Short-Term Debt Repayment Pressure
    : Current ratio of 0.89 < 1, meaning current assets are insufficient to cover current liabilities
  3. Aggressive Financial Strategy
    : Rated as “Aggressive” accounting treatment [0]
  4. High Debt Risk
    : Rated as “High Risk” by the system [0]

5. Conclusion

Baobian Electric’s asset-liability ratio is at an unreasonably high risk level
:

  1. Excessively High Absolute Level
    : The 90.63% asset-liability ratio far exceeds the manufacturing industry’s reasonable range (50-65%) and warning line (70%)
  2. Worrying Trend
    : It has continued to rise in the past two years, indicating that the company’s use of financial leverage has become more aggressive
  3. Competitive Disadvantage
    : Significantly higher than peer competitors such as NARI Technology (approx. 51%) and TBEA (approx. 57%)
  4. Liquidity Pressure
    : Low current ratio leads to pressure in short-term debt repayment

Investment Suggestion
: A high asset-liability ratio means the company faces significant financial pressure and debt risks. Investors should closely monitor the company’s debt repayment plan and capital structure optimization measures, and carefully evaluate investment risks [0].


References

[0] Jinling AI Brokerage API Financial Database - Baobian Electric (600550.SS) Financial Statement Analysis

[1] Lianhe Credit Rating - “Summary and Outlook of Credit Risks in the Machinery Manufacturing Industry in H1 2025” (https://pdf.dfcfw.com/pdf/H3_AP202507301718191346_1.pdf)

[2] China Association for Public Companies - “2025 Report on the Development of High-End Manufacturing among Chinese Listed Companies” (https://capcofile.oss-cn-beijing.aliyuncs.com/2025/file/2025.pdf)

[3] National Bureau of Statistics - Profit Data of National Above-Scale Industrial Enterprises from January to February 2024 (http://www.csteelnews.com/xwzx/hydt/202403/t20240328_86427.html)

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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.