USCF Sustainable Valuation Analysis

ZSC ETF   30.89  0.08  0.26%   
USCF Sustainable is priced without meaningful earnings support relative to broader benchmarks, shaped by the current earnings and balance-sheet profile.
Below Model Estimate
Today
30.89
The valuation of USCF Sustainable reflects its underlying holdings and portfolio composition over a 3 months horizon. Divergence between price and model value may reflect tracking error, flows, or rebalancing effects.
32.46
Intrinsic Value
33.26
Current intrinsic value estimate framed by downside and upside probability thresholds.

What the Data Shows

Available data for USCF Sustainable provides a starting point for valuation analysis, though additional context from operating trends and sector dynamics may be needed for a more complete picture.

Combined Signal Overview

USCF Sustainable Commodity fits the profile of a business currently operating below profitability breakeven, a positioning that shapes how Commodities Broad Basket are valued. The data points to a business where current multiples are less informative because underlying profitability has not been established. The path forward depends on forward earnings expectations and sector dynamics.
The analysis above provides a structured baseline for USCF Sustainable Commodity that becomes more informative as new data arrives. The key signal is how closely the fund tracks its benchmark and how underlying asset performance evolves over time.

Valuation Framework, Methodology & Assumptions

USCF Sustainable is an ETF with exposure aligned to Broad Commodities ETFs, Strategy ETFs. NAV changes reflect underlying holdings; market price may incorporate intraday demand/supply pressure.

USCF Sustainable Commodity data is compiled from fund disclosures and market reference feeds and standardized for comparability. Valuation outputs are model-derived and depend on published assumptions and reference inputs.

The analysis above is generated by quantitative models and is provided for informational and educational purposes only. It does not constitute financial advice, investment recommendations, or an endorsement to buy or sell any security. All investing involves risk, including the possible loss of principal. Consult a qualified financial advisor before making investment decisions. See our Terms of Use for full details.

Financial data referenced in this analysis is derived from publicly available SEC filings, audited financial statements, and third-party market data providers. The intrinsic value estimate is generated by Macroaxis quantitative models that incorporate fundamental analysis, technical indicators, and risk metrics.

The methodology combines multiple analytical inputs:

  • Fundamental analysis - financial statements, profitability ratios, debt structure, and cash flow metrics sourced from SEC filings and public financial reports
  • Technical indicators - historical price patterns, momentum signals, and volatility measures
  • Risk assessment - probability of bankruptcy models, market risk metrics, and downside scenario analysis
  • Peer comparison - relative valuation against industry peers using standardized multiples

Model outputs are refreshed periodically as new financial data becomes available. Past model performance is not indicative of future results. The intrinsic value estimate reflects a point-in-time calculation and should be considered alongside other research and professional advice.

Data sourced from SEC filings (EDGAR), public financial statements, and market data providers.

Editorial review and methodology oversight provided by: Ellen Johnson, Member of Macroaxis Editorial Board

More Resources for USCF Sustainable ETF Analysis

USCF Sustainable's market price and NAV each provide useful but distinct information about the fund. The relationship between USCF Sustainable's cost structure, holdings, and tracking accuracy shapes the aggregate assessment.
Separating USCF Sustainable's NAV from market price helps frame expectations more clearly. Exchange pricing for USCF Sustainable reflects real-time supply and demand across active participants.