What Is QumulusAI, Inc. (QMLS) Worth in 2026?
According to the CirclFi Deep Alpha Valuation Engine, QumulusAI, Inc. is potentially undervalued at its current price of $6.47. Based on our 13-model framework, QumulusAI, Inc.'s intrinsic value is estimated at a median fair value of $8.01 — representing +23.8% implied upside — with 1 out of 1 active models confirming this thesis.
What Do the Models Say About QMLS?
1 of 13 models are currently active for QMLS. All 1 active models suggest the stock trades below fair value. See which stocks rank higher →
How Does QMLS Rank in Software - Infrastructure?
Among 186 Software - Infrastructure stocks, QMLS ranks #174 by Quality of Company score. CirclFi's QOC score of 3.0/10 evaluates 32 fundamental signals. A score of 3.0 signals below-average fundamentals.
See all Most Undervalued Software - Infrastructure Stocks →
As a digital enterprise, QumulusAI, Inc. operates in a sector where rule of 40 score is a critical driver of valuation. Investors evaluating QMLS should weigh these sector-specific dynamics alongside our model-derived fair values.
Is QMLS a Value Trap?
CirclFi's Value Trap algorithm assigns QMLS a score of 0/100 (SAFE). This indicates minimal risk. Fundamentals are healthy. The score cross-references apparent undervaluation against fundamental deterioration signals. Browse lowest value-trap stocks →
Multi-Model Methodology
1 of 13 models are active for QumulusAI, Inc.. Limited activation may indicate insufficient history. Each model applies a fundamentally different valuation philosophy. See the complete methodology →
According to the CirclFi 32-factor quality framework, QumulusAI, Inc.'s fundamental quality profile registers 3.0/10. This concerning score captures the company's profitability depth, growth consistency, balance sheet resilience, and shareholder return track record.
CirclFi runs 13 independent models for each stock. Browse all stocks with 13-model coverage →
Data Sources & Confidence
Every QMLS valuation is built from SEC EDGAR XBRL filings — 700+ standardized financial tags. Macroeconomic context from FRED calibrates discount rates, while GDELT news sentiment feeds into our Sentiment SOTP model. All pipelines run daily. Read the complete data methodology →
Across QMLS's 1 active models, average confidence is 4%. Lower confidence may reflect limited history or high volatility.
CirclFi's output is a research starting point, not a buy/sell signal. All data updates daily. Read the full methodology →