Richinfo Technology Co Ltd Class A - Asset Resilience Ratio
Richinfo Technology Co Ltd Class A (300634) has an Asset Resilience Ratio of 9.00% as of March 2026. The Asset Resilience Ratio measures the percentage of a company's total assets that are held in liquid form (cash and short-term investments). This metric indicates how well-positioned the company is to handle unexpected financial challenges, economic downturns, or strategic opportunities without requiring external financing.
Liquid Assets
Total Assets
Resilience Assessment
Asset Resilience Ratio Trend (2018–2025)
This chart shows how Richinfo Technology Co Ltd Class A's Asset Resilience Ratio has changed over time. Check Richinfo Technology Co Ltd Class A (300634) strategic investment index to assess the company's strategic physical and investment asset allocation.
Liquid Assets Composition Over Time
This chart breaks down Richinfo Technology Co Ltd Class A's liquid assets into cash & equivalents and short-term investments, showing how the composition has evolved over time. For market capitalisation and broader financial context, see Richinfo Technology Co Ltd Class A (300634) total market value.
Current Liquid Assets Breakdown
| Component | Amount | % of Total Assets |
|---|---|---|
| Cash & Equivalents | CN¥0.00 | 0% |
| Short-term Investments | CN¥321.40 Million | 9.0% |
| Total Liquid Assets | CN¥321.40 Million | 9.00% |
Asset Resilience Insights
- Limited Liquidity: Richinfo Technology Co Ltd Class A maintains only 9.00% of assets in liquid form.
- This low level may indicate efficient asset utilization but could pose risks during economic downturns.
- The company has significant short-term investments, indicating active treasury management.
Richinfo Technology Co Ltd Class A Industry Peers by Asset Resilience Ratio
Compare Richinfo Technology Co Ltd Class A's asset resilience ratio with other companies in the same industry.
| Company | Industry | Asset Resilience Ratio |
|---|---|---|
|
Yuanbao Inc. American Depositary Shares
NASDAQ:YB |
Software - Application | 65.34% |
|
TOTVS S.A
SA:TOTS3 |
Software - Application | 18.94% |
|
Navan, Inc. Class A Common Stock
NASDAQ:NAVN |
Software - Application | 9.19% |
|
Beijing Join-Cheer Software Co Ltd
SHE:002279 |
Software - Application | 16.29% |
|
Global Infotech Co Ltd
SHE:300465 |
Software - Application | 0.57% |
|
Sichuan Jiuyuan Yinhai Software Co Ltd
SHE:002777 |
Software - Application | 15.75% |
|
Vercom SA
WAR:VRC |
Software - Application | -0.05% |
|
Anhui Wantong Technology Co Ltd
SHE:002331 |
Software - Application | 3.70% |
Annual Asset Resilience Ratio for Richinfo Technology Co Ltd Class A (2018–2025)
The table below shows the annual Asset Resilience Ratio data for Richinfo Technology Co Ltd Class A.
| Year | Asset Resilience Ratio (%) | Liquid Assets | Total Assets | Change |
|---|---|---|---|---|
| 2025-12-31 | 12.68% | CN¥446.33 Million ≈ $65.31 Million |
CN¥3.52 Billion ≈ $514.92 Million |
+2.09pp |
| 2024-12-31 | 10.59% | CN¥363.57 Million ≈ $53.20 Million |
CN¥3.43 Billion ≈ $502.21 Million |
+8.08pp |
| 2023-12-31 | 2.51% | CN¥81.14 Million ≈ $11.87 Million |
CN¥3.23 Billion ≈ $472.54 Million |
-2.87pp |
| 2022-12-31 | 5.39% | CN¥154.63 Million ≈ $22.63 Million |
CN¥2.87 Billion ≈ $420.04 Million |
-2.61pp |
| 2021-12-31 | 8.00% | CN¥203.20 Million ≈ $29.73 Million |
CN¥2.54 Billion ≈ $371.76 Million |
-8.88pp |
| 2020-12-31 | 16.88% | CN¥302.69 Million ≈ $44.29 Million |
CN¥1.79 Billion ≈ $262.41 Million |
+5.88pp |
| 2019-12-31 | 11.00% | CN¥188.79 Million ≈ $27.63 Million |
CN¥1.72 Billion ≈ $251.15 Million |
+10.98pp |
| 2018-12-31 | 0.02% | CN¥337.38K ≈ $49.37K |
CN¥1.69 Billion ≈ $246.61 Million |
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About Richinfo Technology Co Ltd Class A
Richinfo Technology Co., Ltd. engages in the development and sales of software products in China. The company offers Rich AICloud, an enterprise-grade cloud computing solution for AI-native scenarios; Rich AIBox, an enterprise-level intelligent agent development and operation platform; Rich Agent, an application capability matrix; RichBoost, a training and inference acceleration platform targetin… Read more