Decision Average Inventory from 2010 to 2026
| DECN Stock | USD 0.0001 0.00 0.00% |
Average Inventory | First Reported 2010-12-31 | Previous Quarter 147.3 K | Current Value 182.6 K | Quarterly Volatility 45.2 K |
Check Decision Diagnostics financial statements over time to gain insight into future company performance. You can evaluate financial statements to find patterns among Decision Diagnostics' main balance sheet or income statement drivers, such as Interest Expense of 32.9 M, Selling General Administrative of 2.6 M or Total Revenue of 1.7 M, as well as many indicators such as Price To Sales Ratio of 2.65, Dividend Yield of 0.068 or PTB Ratio of 7.9. Decision financial statements analysis is a perfect complement when working with Decision Diagnostics Valuation or Volatility modules.
Decision | Average Inventory | Build AI portfolio with Decision Stock |
Evaluating Decision Diagnostics's Average Inventory across multiple reporting periods reveals the company's ability to sustain growth and manage resources effectively. This longitudinal analysis highlights inflection points, cyclical patterns, and structural changes that short-term snapshots might miss, offering deeper insight into Decision Diagnostics's fundamental strength.
Latest Decision Diagnostics' Average Inventory Growth Pattern
Below is the plot of the Average Inventory of Decision Diagnostics over the last few years. It is the average amount of inventory a company holds over a certain period, which is used to calculate inventory turnover and efficiency in managing stock levels. Decision Diagnostics' Average Inventory historical data analysis aims to capture in quantitative terms the overall pattern of either growth or decline in Decision Diagnostics' overall financial position and show how it may be relating to other accounts over time.
| Average Inventory | 10 Years Trend |
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Average Inventory |
| Timeline |
Decision Average Inventory Regression Statistics
| Arithmetic Mean | 191,788 | |
| Geometric Mean | 186,690 | |
| Coefficient Of Variation | 23.59 | |
| Mean Deviation | 33,611 | |
| Median | 205,956 | |
| Standard Deviation | 45,239 | |
| Sample Variance | 2B | |
| Range | 183.2K | |
| R-Value | (0.18) | |
| Mean Square Error | 2.1B | |
| R-Squared | 0.03 | |
| Significance | 0.48 | |
| Slope | (1,653) | |
| Total Sum of Squares | 32.7B |
Decision Average Inventory History
About Decision Diagnostics Financial Statements
Decision Diagnostics investors utilize fundamental indicators, such as Average Inventory, to predict how Decision Stock might perform in the future. Analyzing these trends over time helps investors make informed market timing decisions. For further insights, please visit our fundamental analysis page.
| Last Reported | Projected for Next Year | ||
| Average Inventory | 147.3 K | 182.6 K |
Check out the analysis of Decision Diagnostics Correlation against competitors. To learn how to invest in Decision Stock, please use our How to Invest in Decision Diagnostics guide.You can also try the Fundamentals Comparison module to compare fundamentals across multiple equities to find investing opportunities.
Will Health Care Technology sector continue expanding? Could Decision diversify its offerings? Factors like these will boost the valuation of Decision Diagnostics. Projected growth potential of Decision fundamentally drives upward valuation adjustments. Accurate valuation requires analyzing both current fundamentals and future growth trajectories. Every Decision Diagnostics data point contributes insight, yet successful analysis hinges on identifying the most consequential variables.
Earnings Share (0.02) | Revenue Per Share | Quarterly Revenue Growth (0) | Return On Assets | Return On Equity |
Understanding Decision Diagnostics requires distinguishing between market price and book value, where the latter reflects Decision's accounting equity. The concept of intrinsic value—what Decision Diagnostics' is actually worth based on fundamentals—guides informed investors toward better entry and exit points. Seasoned market participants apply comprehensive analytical frameworks to derive fundamental worth and identify mispriced opportunities. Market sentiment, economic cycles, and investor behavior can push Decision Diagnostics' price substantially above or below its fundamental value.
It's important to distinguish between Decision Diagnostics' intrinsic value and market price, which are calculated using different methodologies. Investment decisions regarding Decision Diagnostics should consider multiple factors including financial performance, growth metrics, competitive position, and professional analysis. In contrast, Decision Diagnostics' trading price reflects the actual exchange value where willing buyers and sellers reach mutual agreement.