Hyperscale Data, Inc. (GPUS) Fair Value 2026

GPUS · Oil & Gas Field Machinery & Equipment ·

By CirclFi Research Team · Data from SEC EDGAR, FRED & GDELT

Quality Score

3.5 /10

32 fundamental signals · 10 models active

Value Trap Risk

SAFE (18/100)

Quick Summary — As of 2026-07-15, Hyperscale Data, Inc. (GPUS) trades at $0.13. QOC: 3.5/10. Value Trap Risk: 18/100 (SAFE). 10/13 models active.

Key Facts

Ticker
GPUS
Price
$0.13
Quality Score
3.5/10
Value Trap Risk
18/100
Models Active
10/13
Last Updated
Strength: Markov DDM suggests +149.2% upside with 61% confidence
Risk: Below-average Quality Score of 3.5/10 signals weak fundamentals

Is Hyperscale Data, Inc. (GPUS) Undervalued or Overvalued in 2026?

According to CirclFi’s 10-model valuation engine, Hyperscale Data, Inc. (GPUS) appears undervalued as of : the median of 10 independent fair value estimates is $0.27, 104.1% above the current price of $0.13. Estimates range from $0.00 to $0.44. GPUS scores 3.5/10 on fundamental quality and 18/100 on value-trap risk.

This verdict compares price to intrinsic value only — it is not a buy or sell rating. For the decision case (bull vs bear arguments, risk factors, peers), read Should You Buy Hyperscale Data, Inc. Stock in 2026? →

Valuation Matrix

10 Intrinsic Value Models vs. Current Price ($0.13)

Core Models (Unlocked)
Model Fair Value Upside
Earnings Power Value
Medium Conviction
$0.28 +110.9%
CUCE Ensemble
Low Conviction
$0.28 +117.1%
First Chicago
Low Conviction
$0.00 -97.9%
Markov DDM
High Conviction
$0.33 +149.2%

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What Is Hyperscale Data, Inc. (GPUS) Worth in 2026?

According to the CirclFi Deep Alpha Valuation Engine, Hyperscale Data, Inc.'s intrinsic value is estimated at a composite fair value of $0.22. While the stock appears modestly undervalued at $0.13 (implied upside of +65.0%), our analysis suggests a thinner margin of safety across 7 of 10 bullish models. Notably, PWERM sees the most upside at +235.5% (fair value: $0.44), while First Chicago is the most conservative at -97.9% ($0.00). The spread between these extremes — +333.4% — reveals how different analytical frameworks can reach starkly different conclusions.

What Do the Models Say About GPUS?

10 of 13 models are currently active for GPUS. Of these, 7 models suggest upside while 3 models suggest overvaluation. See which stocks rank higher →

How Does GPUS Rank in Oil & Gas Field Machinery & Equipment?

Among 17 Oil & Gas Field Machinery & Equipment stocks, GPUS ranks #13 by Quality of Company score. CirclFi's QOC score of 3.5/10 evaluates 32 fundamental signals. A score of 3.5 signals below-average fundamentals.

As a oil and gas company, Hyperscale Data, Inc. operates in a sector where capital efficiency ratio is a critical driver of valuation. Investors evaluating GPUS should weigh these sector-specific dynamics alongside our model-derived fair values.

Is GPUS a Value Trap?

CirclFi's Value Trap algorithm assigns GPUS a score of 18/100 (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

10 of 13 models are active for Hyperscale Data, Inc.. Broad coverage provides high confidence. Each model applies a fundamentally different valuation philosophy. See the complete methodology →

According to the CirclFi 32-factor quality framework, Hyperscale Data, Inc.'s fundamental quality profile registers 3.5/10. This mixed score captures the company's profitability depth, growth consistency, balance sheet resilience, and shareholder return track record.

The gap between the most bullish and bearish model spans +333.4% — demonstrating why single-model analysis is dangerous. Browse all stocks with 13-model coverage →

Data Sources & Confidence

Every GPUS 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 GPUS's 10 active models, average confidence is 29%. 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 →

This analysis is produced by the CirclFi Valuation Engine using quantitative models applied to SEC EDGAR filings, public market feeds, and FRED macroeconomic indicators. It is not financial advice.

Read the full investment analysis: Should You Buy Hyperscale Data, Inc. Stock in 2026? →

Bull case, bear case, risk factors & peer comparison — updated daily

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Frequently Asked Questions About Hyperscale Data, Inc.

What is Hyperscale Data, Inc.'s intrinsic value in 2026?

Based on CirclFi's 13-model analysis, Hyperscale Data, Inc. (GPUS) has multiple fair value estimates. The Bayesian DCF model runs 10,000 Monte Carlo simulations with jump-diffusion to estimate intrinsic value. The Quality of Company score is 3.5/10 across 32 fundamental signals. All models use SEC EDGAR filings updated daily. See our methodology page for how each model works.

Is GPUS overvalued or undervalued right now?

At $0.13, 7 of 10 active models suggest GPUS may be undervalued, while 3 indicate potential overvaluation. The median of all 10 fair value estimates is $0.27, 104.1% above the current price of $0.13 — a consensus view that GPUS is undervalued. The assessment depends on which methodology best fits Hyperscale Data, Inc.'s business model in Oil & Gas Field Machinery & Equipment.

What does a Quality of Company score of 3.5 mean for GPUS?

Hyperscale Data, Inc.'s QOC of 3.5/10 reflects 32 fundamental signals: profitability margins, revenue growth consistency, balance sheet leverage, free cash flow generation, and capital allocation efficiency. Scores below 5 flag potential fundamental weaknesses requiring careful analysis.

How many valuation models does CirclFi run on GPUS?

CirclFi analyzes GPUS with 13 institutional-grade models daily: Bayesian DCF (Monte Carlo + jump-diffusion), EPV (Greenwald zero-growth), EROIC Spread (McKinsey reinvestment), First Chicago (3-scenario), Markov DDM (regime-switching), ML-RIV (machine learning residual income), Dynamic NAV (asset-based), PWERM (option-theoretic), Regime Cross-Sectional (relative), Sentiment SOTP (hybrid), CUCE Ensemble (meta-model), FTNN Topology (neural network), and RCMH-DCF (conditional regime). Currently 10 of 13 are active for this stock. Read the full methodology →

Is GPUS a value trap in 2026?

Hyperscale Data, Inc.'s Value Trap score is 18/100 (SAFE). This low score indicates the current valuation is not artificially depressed by fundamental deterioration, suggesting genuine opportunity rather than a trap. Browse stocks by value-trap risk →

Cite this analysis — “According to CirclFi’s 10-model valuation engine, Hyperscale Data, Inc. (GPUS) has a median fair value of $0.27 — 104.1% above the current price of $0.13 — as of 2026-07-15.” Source: circlfi.com/stock/GPUS/ · Methodology

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