Pony Ai American Stock Analysis

Pony Stock Analysis Notes

About 23.0% of the company outstanding shares are owned by corporate insiders. The company recorded a loss per share of 0.95. Pony AI American had not issued any dividends in recent years. To find out more about Pony AI American contact Jun Peng at 86 20 3466 7656 or learn more at https://pony.ai.

Pony AI American Investment Alerts

Pony AI Environmental, Social, and Governance (ESG) Scores

Pony Market Capitalization

The company currently falls under 'Mid-Cap' category with a current market capitalization of 5.9 B.

Pony Profitablity

Management Efficiency

Pony AI American has return on total asset (ROA) of (0.2457) % which means that it has lost $0.2457 on every $100 spent on assets. This is way below average. Similarly, it shows a return on stockholder's equity (ROE) of (0.4148) %, meaning that it created substantial loss on money invested by shareholders. Pony AI's management efficiency ratios could be used to measure how well Pony AI manages its routine affairs as well as how well it operates its assets and liabilities. Return On Tangible Assets is likely to drop to -0.25 in 2026. Return On Capital Employed is likely to drop to -0.28 in 2026. Non Currrent Assets Other is likely to rise to about 66.2 M in 2026, whereas Total Assets are likely to drop slightly above 901.6 M in 2026.

Technical Drivers

As of the 11th of February 2026, Pony AI holds the Variance of 21.58, risk adjusted performance of 8.0E-4, and Coefficient Of Variation of (10,669). Compared to fundamental indicators, the technical analysis model allows you to check existing technical drivers of Pony AI, as well as the relationship between them.

Pony AI American Price Movement Analysis

Pony AI Outstanding Bonds

Pony AI Predictive Daily Indicators

Pony AI Corporate Filings

Pony AI Forecast Models

Pony AI's time-series forecasting models are one of many Pony AI's stock analysis techniques aimed at predicting future share value based on previously observed values. Time-series forecasting models ae widely used for non-stationary data. Non-stationary data are called the data whose statistical properties e.g. the mean and standard deviation are not constant over time but instead, these metrics vary over time. These non-stationary Pony AI's historical data is usually called time-series. Some empirical experimentation suggests that the statistical forecasting models outperform the models based exclusively on fundamental analysis to predict the direction of the market movement and maximize returns from investment trading.

Pony AI Bond Ratings

Pony AI American financial ratings play a critical role in determining how much Pony AI have to pay to access credit markets, i.e., the amount of interest on their issued debt. The threshold between investment-grade and speculative-grade ratings has important market implications for Pony AI's borrowing costs.

Pony AI Total Assets Over Time

Pony AI Assets Financed by Debt

The debt-to-assets ratio shows the degree to which Pony AI uses debt to finance its assets. It includes both long-term and short-term borrowings maturing within one year. It also includes both tangible and intangible assets, such as goodwill.

Pony AI Debt Ratio

1.46

It appears most of the Pony AI's assets are financed through equity. Typically, companies with high debt-to-asset ratios are said to be highly leveraged. The higher the ratio, the greater risk will be associated with the Pony AI's operation. In addition, a high debt-to-assets ratio may indicate a low borrowing capacity of Pony AI, which in turn will lower the firm's financial flexibility.

Pony AI Corporate Bonds Issued

Pony Net Debt

Stock analysis is the technique used by a trader or investor to examine and evaluate how Pony AI prices is reacting to, or reflecting on a current market direction and economic conditions. It can be used to make informed decisions about market timing, and when buying or selling Pony shares will generate the highest return on investment. We also built our stock analysis module to help investors to gain an insight into the world economy as a whole, the stock market, thematic ideas. a specific sector, or an individual Stock such as Pony AI. By using and applying Pony Stock analysis, traders can create a robust methodology for identifying Pony entry and exit points for their positions.

We track the performance of the top 100 financial experts across various large and mid-size financial boutiques. Pony analyst recommendations are determined by taking all analyst recommendations and averaging them as Strong Buy, Buy, Hold, Strong Sell or Sell. There is no one specific way to measure analysis performance other than comparing it to the past results via a very sophisticated attribution analysis. Pony analyst consensus and target price projections should be used in combination with other traditional techniques such as stock price forecasting, technical analysis, earnings estimate, and various momentum models.

Pony AI American stock analysis indicators help investors evaluate how Pony AI stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing and determine when trading Pony AI shares will generate the highest return on investment. By understating and applying Pony AI stock analysis, traders can identify Pony AI position entry and exit signals to maximize returns.

When running Pony AI's price analysis, check to measure Pony AI's market volatility, profitability, liquidity, solvency, efficiency, growth potential, financial leverage, and other vital indicators. We have many different tools that can be utilized to determine how healthy Pony AI is operating at the current time. Most of Pony AI's value examination focuses on studying past and present price action to predict the probability of Pony AI's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Pony AI's price. Additionally, you may evaluate how the addition of Pony AI to your portfolios can decrease your overall portfolio volatility.