Digimarc Z Score
| DMRC Stock | USD 5.34 0.34 6.80% |
Altman Z-Score - Definition
This model combines five ratios spanning liquidity, profitability, leverage, and efficiency to summarize financial condition.
Digimarc Z-Score Interpretation
Above 3.0: stronger condition range
2.7 to 3.0: transition range
1.8 to 2.7: watch range
Below 1.8: higher distress probability range
Why Z-Score Context is Useful
This framework blends liquidity, profitability, leverage, and sales efficiency to summarize financial condition.
Digimarc Z-Score Review
Recent filing data is used to calculate Z-Score and provide standardized financial condition context.
. Our How to Buy Digimarc Stock guide explains the steps to invest in Digimarc stock.Understanding Digimarc includes distinguishing between market value and book value, where book value reflects Digimarc accounting equity. Intrinsic value is an estimate of underlying worth, separate from trading price and book value. Market prices can move with sentiment and macro cycles, creating divergence from fundamentals. The valuation process compares these measures for perspective.
The concept of value for Digimarc differs from its quoted price, since each reflects a different lens. Reviewing financial results, valuation ratios, and competitive positioning helps frame the value discussion. Trading price represents the transaction level agreed by market participants.
Digimarc 'What if' Analysis
Running a what-if backtest on Digimarc gives investors a practical way to test how changes in horizon, position size, or market timing might have affected the result. Used properly, this review helps investors decide whether Digimarc's historical reward profile was stable enough to support the current thesis.
| 12/09/2025 |
| 03/09/2026 |
Starting with 0.00 in Digimarc on December 9, 2025 and exiting today would produce 0.00 in overall gains. In total, that is a 0.0% net return in Digimarc for the period across 90 days.. Digimarc has comparable peers such as Unisys, TTEC Holdings, ON24, Datavault, GD Culture, Duos Technologies, and Tucows. The list provides context for relative analysis. Digimarc Corporation provides automatic identification solutions to commercial and government customers in the United St... More
Upside and Downside Indicators for Digimarc Dashboard
These indicators describe how Digimarc momentum evolves across recent price ranges. The indicators are presented as neutral context for price dynamics.
| Information Ratio | -0.16 | |||
| Maximum Drawdown | 20.69 | |||
| Value At Risk | -8.01 | |||
| Potential Upside | 6.05 |
Market Risk Indicators for Digimarc Dashboard
Risk measures here provide context on Digimarc's return distribution and drawdown behavior. The indicators highlight how volatility has behaved across recent periods.| Risk Adjusted Performance | -0.12 | |||
| Jensen Alpha | -0.77 | |||
| Total Risk Alpha | -0.77 | |||
| Treynor Ratio | 19.25 |
Experienced Digimarc's investors use mean reversion as a complement to momentum analysis: momentum identifies the trend; mean reversion identifies when that trend has extended beyond sustainable levels.
Digimarc Technical Indicators
| Cycle Indicators | ||
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| Math Transform | ||
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| Overlap Studies | ||
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| Price Transform | ||
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| Volatility Indicators | ||
| Volume Indicators |
| Risk Adjusted Performance | -0.12 | |||
| Market Risk Adjusted Performance | 19.26 | |||
| Mean Deviation | 3.71 | |||
| Coefficient Of Variation | -627.66 | |||
| Standard Deviation | 4.8 | |||
| Variance | 23.0 | |||
| Information Ratio | -0.16 | |||
| Jensen Alpha | -0.77 | |||
| Total Risk Alpha | -0.77 | |||
| Treynor Ratio | 19.25 | |||
| Maximum Drawdown | 20.69 | |||
| Value At Risk | -8.01 | |||
| Potential Upside | 6.05 | |||
| Skewness | -0.16 | |||
| Kurtosis | 0.803 |
Digimarc Backtested Returns
Digimarc holds a moderate volatility within the selected horizon. It exhibits a Sharpe Ratio (Efficiency) of -0.16, highlighting negative adjusted efficiency metrics. We identified twenty-four technical indicators influencing the company's volatility profile. Please examine metrics such as standard deviation of 4.8, variance of 23.0, and mean deviation of 3.71 to confirm risk-return consistency. The company has a beta of -0.0402, which indicates not very significant fluctuations relative to the market. As returns on the market increase, returns on owning Digimarc are expected to decrease at a much lower rate. During the bear market, Digimarc is likely to outperform the market. At this point, Digimarc has a negative expected return of -0.76%. Please make sure to check Digimarc's potential upside, and the relationship between the total risk alpha and daily balance of power , to decide if Digimarc performance from the past will be repeated at some future point.
Auto-correlation | 0.83 |
Very good predictability
Digimarc exhibits very good predictability. Autocorrelation measures the degree of predictability between Digimarc time series from 9th of December 2025 to 23rd of January 2026 and from 23rd of January 2026 to 9th of March 2026. The stronger the relationship between the current interval and its lagged values, the more accurately future price behavior of Digimarc may be projected. A serial correlation of 0.83 indicates that around 83.0% of current Digimarc price fluctuations can be explained by its historical price movements.
| Correlation Coefficient | 0.83 | |
| Spearman Rank Test | 0.84 | |
| Residual Average | 0.0 | |
| Price Variance | 0.36 |
To calculate a Z-Score, one would need to know a company's current working capital, its total assets and liabilities, and the amount of its latest earnings as well as earnings before interest and tax. Z-Scores can be used to compare the odds of bankruptcy of companies in a similar line of business or firms operating in the same industry. Companies with Z-Scores above 3.1 are generally considered to be stable and healthy with a low probability of bankruptcy. Scores that fall between 1.8 and 3.1 lie in a so-called 'grey area,' with scores of less than 1 indicating the highest probability of distress. Z Score is a used widely measure by financial auditors, accountants, money managers, loan processors, wealth advisers, and day traders. In the last 25 years, many financial models that utilize z-scores proved it to be successful as a predictor of corporate bankruptcy.
| Competition |
According to the company's disclosures, Digimarc has a Z Score of 0.0. This is 100.0% lower than that of the Software sector and 100.0% lower than that of the Information Technology industry. The z score for all United States stocks is 100.0% higher than that of the company.
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| All Next | Launch Module |
Digimarc Fundamentals
| Return On Equity | -0.66 | |||
| Return On Asset | -0.33 | |||
| Profit Margin | -1.09 % | |||
| Operating Margin | -1.10 % | |||
| Current Valuation | 109.09 M | |||
| Shares Outstanding | 21.76 M | |||
| Shares Owned By Insiders | 29.40 % | |||
| Shares Owned By Institutions | 60.05 % | |||
| Number Of Shares Shorted | 2 M | |||
| Price To Earning | -14.64 X | |||
| Price To Book | 2.81 X | |||
| Price To Sales | 3.45 X | |||
| Revenue | 38.42 M | |||
| Gross Profit | 25.2 M | |||
| EBITDA | -33.16 M | |||
| Net Income | -39.01 M | |||
| Cash And Equivalents | 68.39 M | |||
| Cash Per Share | 3.47 X | |||
| Total Debt | 5.99 M | |||
| Debt To Equity | 0.06 % | |||
| Current Ratio | 7.09 X | |||
| Book Value Per Share | 1.91 X | |||
| Cash Flow From Operations | -26.57 M | |||
| Short Ratio | 8.57 X | |||
| Earnings Per Share | -1.70 X | |||
| Price To Earnings To Growth | -0.69 X | |||
| Target Price | 15.0 | |||
| Number Of Employees | 215 | |||
| Beta | 1.76 | |||
| Market Capitalization | 116.18 M | |||
| Total Asset | 75.77 M | |||
| Retained Earnings | -350.78 M | |||
| Working Capital | 30.19 M | |||
| Current Asset | 42.29 M | |||
| Current Liabilities | 4.68 M | |||
| Net Asset | 75.77 M |
Digimarc Income, Balance Sheet, and Cash Flow
Balance-sheet positioning of Digimarc determines flexibility across economic conditions. Operating leverage sensitivity reflects exposure to economic shifts. Digimarc is assessed in terms of its structural contribution to portfolio diversification and long-term stability.
Methodology
Unless otherwise specified, financial data for Digimarc 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. Digimarc (USA Stocks:DMRC) 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 Income statement, balance sheet, and cash flow figures follow GAAP or IFRS conventions as reported and may be restated by the company.
Assumptions
We reference public filings and market reference sources and regulatory disclosures, including those published by U.S. Securities and Exchange Commission (SEC) via EDGAR. Data may be normalized and delayed in some cases. 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
Digimarc may have analyst coverage included in Macroaxis-derived consensus inputs when available. Updates may occur throughout the day.
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Reviewing Digimarc commonly begins with financial statements and performance trends. Financial ratios provide context for profitability, efficiency, and growth trends. Selected reports below provide context for Digimarc Stock:Our How to Buy Digimarc Stock guide explains the steps to invest in Digimarc stock.Analysis related to Digimarc should be read together with other portfolio and risk tools before capital is reallocated. That is especially important when the goal is to improve the overall mix of instruments already held. You can also try the Piotroski F Score module to get Piotroski F Score based on the binary analysis strategy of nine different fundamentals.
Understanding Digimarc includes distinguishing between market value and book value, where book value reflects Digimarc accounting equity. Intrinsic value is an estimate of underlying worth, separate from trading price and book value. Market prices can move with sentiment and macro cycles, creating divergence from fundamentals. The valuation process compares these measures for perspective.
The concept of value for Digimarc differs from its quoted price, since each reflects a different lens. Reviewing financial results, valuation ratios, and competitive positioning helps frame the value discussion. Trading price represents the transaction level agreed by market participants.