Over recent reporting cycles, Total Cash From Operating Activities is advancing amid slightly volatile fluctuations. Compared with the previous period, Total Cash From Operating Activities is up roughly 4.76%, supporting projections near approximately 161.8 K. From 2010 to 2026, the annual regression model for DOCDATA Total Cash From Operating Activities reported a arithmetic mean of -4,625,417 . with mean square error of 7.2 T. View All Fundamentals
This module can also supplement DOCDATA Technical models. It frames trends without making advisory claims. Review DOCDATA Correlation against competitors for DOCDATA. This provides competitive positioning context.
Analyzing DOCDATA's Total Cash From Operating Activities over time reveals critical patterns in financial health and operational efficiency. This metric helps investors evaluate trends, identify inflection points, and make informed decisions based on historical performance. Understanding how Total Cash From Operating Activities has evolved provides context for assessing DOCDATA's current valuation and future prospects.
Latest DOCDATA's Total Cash From Operating Activities Growth Pattern
Below is the plot of the Total Cash From Operating Activities of DOCDATA over the last few years. It is DOCDATA's Total Cash From Operating Activities historical data analysis aims to capture in quantitative terms the overall pattern of either growth or decline in DOCDATA's overall financial position and show how it may be relating to other accounts over time.
DOCDATA Total Cash From Operating Activities Regression Statistics
Arithmetic Mean
-4,625,417
Geometric Mean
1,540,152
Coefficient Of Variation
-109.82
Mean Deviation
4,813,186
Median
-827,000
Standard Deviation
5,079,445
Sample Variance
25.8T
Range
10.6M
R-Value
0.86
Mean Square Error
7.2T
R-Squared
0.74
Slope
864,437
Total Sum of Squares
412.8T
DOCDATA Total Cash From Operating Activities History
2026
161.8 K
2025
154.1 K
2024
134 K
2023
-698 K
2022
-2.7 M
2021
-448 K
2020
-372 K
About DOCDATA
DOCDATA maintains listing status on the Berlin Exchange exchange. The profile for DOCDATA integrates fundamentals, price behavior, and sector exposure. Defensive traits reduce macro sensitivity. DOCDATA has a market cap of 30.91 M.
Methodology
Unless otherwise specified, financial data for DOCDATA is derived from periodic company reporting (annual and quarterly where available). Asset-level metrics are computed daily by Macroaxis LLC and refreshed regularly based on asset type. DOCDATA (DE:DOC2) prices are typically delayed by approximately 20 minutes from primary exchanges for listed equities. Data may be delayed depending on reporting sources and market conventions. Assumptions: We primarily rely on public filings and market reference sources, including disclosures published by U.S. Securities and Exchange Commission (SEC) via EDGAR. Data is normalized for analytical consistency across reporting formats. All analytics are generated using standardized, rules-based models designed to promote consistency and comparability across instruments. Model assumptions, reference parameters, and selected computational inputs are available in the Model Inputs section. If you have questions about our data sources or methodology, please contact Macroaxis Support.
Analyst Sources
DOCDATA may have analyst coverage included in Macroaxis-derived consensus inputs when available. Updates may occur throughout the day.
Analyzing currently trending equities could be an opportunity to develop a better portfolio based on different market momentums that they can trigger. Utilizing the top trending stocks is also useful when creating a market-neutral strategy or pair trading technique involving a short or a long position in a currently trending equity.
DOCDATA financial ratios help frame valuation context across profits, cash flow, and enterprise value. They help compare DOCDATA across measures in a consistent way.
Ellen Johnson ยท Member of Macroaxis Editorial Board