Gitlab Inc Stock Analysis

Gitlab Stock Analysis Notes

About 88.0% of the company shares are owned by institutional investors. The company had not issued any dividends in recent years. GitLab Inc., through its subsidiaries, develops software for the software development lifecycle in the United States, Europe, and the Asia Pacific. The company was founded in 2011 and is headquartered in San Francisco, California. Gitlab Inc operates under SoftwareApplication classification in the United States and is traded on NASDAQ Exchange. It employs 1630 people. To learn more about Gitlab Inc call William Staples at 650 474 5175 or check out https://about.gitlab.com.

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Gitlab Environmental, Social, and Governance (ESG) Scores

Gitlab Stock Institutional Investors

Note, although Gitlab's institutional investors appear to be way more sophisticated than retail investors, it remains unclear if professional active investment managers can reliably enhance risk-adjusted returns by an amount that exceeds fees and expenses.

Gitlab Market Capitalization

The company currently falls under 'Mid-Cap' category with a current market capitalization of 7.78 B.

Gitlab Profitablity

The company has Profit Margin (PM) of 0.02 %, which maeans that even a very small decline in it revenue will erase profits resulting in a net loss. This is way below average. Similarly, it shows Operating Margin (OM) of (0.16) %, which suggests for every $100 dollars of sales, it generated a net operating loss of $0.16.

Management Efficiency

Gitlab Inc has return on total asset (ROA) of (0.0526) % which means that it has lost $0.0526 on every $100 spent on assets. This is way below average. Similarly, it shows a return on stockholder's equity (ROE) of 0.0138 %, meaning that it created $0.0138 on every $100 dollars invested by stockholders. Gitlab's management efficiency ratios could be used to measure how well Gitlab manages its routine affairs as well as how well it operates its assets and liabilities. As of July 25, 2025, Return On Tangible Assets is expected to decline to -0.0049. In addition to that, Return On Capital Employed is expected to decline to -0.18. At present, Gitlab's Net Tangible Assets are projected to increase significantly based on the last few years of reporting. The current year's Intangible Assets is expected to grow to about 18.7 M, whereas Total Assets are forecasted to decline to about 1.1 B.

Technical Drivers

As of the 25th of July, Gitlab retains the Risk Adjusted Performance of 0.0767, downside deviation of 3.34, and Market Risk Adjusted Performance of 0.1603. Gitlab technical analysis makes it possible for you to employ historical prices and volume momentum with the intention to determine a pattern that calculates the direction of the firm's future prices.

Gitlab Inc Price Movement Analysis

Gitlab Inc Insider Trading Activities

Gitlab Outstanding Bonds

Gitlab Predictive Daily Indicators

Gitlab Corporate Filings

Gitlab Forecast Models

Gitlab's time-series forecasting models are one of many Gitlab'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 Gitlab'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.

Stock analysis is the technique used by a trader or investor to examine and evaluate how Gitlab 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 Gitlab 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 Gitlab. By using and applying Gitlab Stock analysis, traders can create a robust methodology for identifying Gitlab 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. Gitlab 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. Gitlab 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.

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

When running Gitlab's price analysis, check to measure Gitlab'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 Gitlab is operating at the current time. Most of Gitlab's value examination focuses on studying past and present price action to predict the probability of Gitlab's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Gitlab's price. Additionally, you may evaluate how the addition of Gitlab to your portfolios can decrease your overall portfolio volatility.