Singularity Inventory from 2010 to 2026

SGLY Stock  USD 0.42  0.01  2.44%   
Singularity Future Inventory yearly trend continues to be fairly stable with very little volatility. Inventory is likely to outpace its year average in 2026. During the period from 2010 to 2026, Singularity Future Inventory regression line of annual values had r-squared of  0.0005 and arithmetic mean of  1,388,677. View All Fundamentals
 
Inventory  
First Reported
2007-06-30
Previous Quarter
3.1 M
Current Value
-28.9 K
Quarterly Volatility
1.4 M
 
Housing Crash
 
Credit Downgrade
 
Yuan Drop
 
Covid
 
Interest Hikes
Check Singularity Future financial statements over time to gain insight into future company performance. You can evaluate financial statements to find patterns among Singularity Future's main balance sheet or income statement drivers, such as Depreciation And Amortization of 53.4 K, Interest Expense of 159.9 K or Selling General Administrative of 2.8 M, as well as many indicators such as Price To Sales Ratio of 2.28, Dividend Yield of 0.0 or PTB Ratio of 0.33. Singularity financial statements analysis is a perfect complement when working with Singularity Future Valuation or Volatility modules.
  
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Check out the analysis of Singularity Future Correlation against competitors.
The evolution of Inventory for Singularity Future Technology provides essential context for understanding the company's financial health trajectory. By analyzing this metric's behavior over time, investors can assess whether recent trends align with long-term patterns, and how Singularity Future compares to historical norms and industry peers.

Latest Singularity Future's Inventory Growth Pattern

Below is the plot of the Inventory of Singularity Future Technology over the last few years. It is Singularity Future's Inventory historical data analysis aims to capture in quantitative terms the overall pattern of either growth or decline in Singularity Future's overall financial position and show how it may be relating to other accounts over time.
Inventory10 Years Trend
Very volatile
   Inventory   
       Timeline  

Singularity Inventory Regression Statistics

Arithmetic Mean1,388,677
Geometric Mean232,239
Coefficient Of Variation153.55
Mean Deviation1,735,124
Median202,356
Standard Deviation2,132,376
Sample Variance4.5T
Range6.2M
R-Value(0.02)
Mean Square Error4.8T
R-Squared0.0005
Significance0.93
Slope(9,830)
Total Sum of Squares72.8T

Singularity Inventory History

2026-13.8 K
2025-14.5 K
2023-12.6 K
2022140 K
20216.2 M
2020880 K
201997.8 K

Other Fundumenentals of Singularity Future

Singularity Future Inventory component correlations

About Singularity Future Financial Statements

Singularity Future investors use historical fundamental indicators, such as Singularity Future's Inventory, to determine how well the company is positioned to perform in the future. Understanding over-time patterns can help investors decide on long-term investments in Singularity Future. Please read more on our technical analysis and fundamental analysis pages.
Last ReportedProjected for Next Year
Inventory-14.5 K-13.8 K
Change To Inventory263.6 K276.7 K
Inventory Turnover 6.50  6.18 
Days Of Inventory On Hand 58.11  51.28 
Average Inventory440 K576.7 K
Days Of Inventory Outstanding 58.11  51.28 

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Additional Tools for Singularity Stock Analysis

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