AUTR (AUTR) Fair Value & Analysis
Real Estate · US · Market cap $193M
Fair value as of: Jun 25, 2026
Analysis
AUTR (AUTR) currently trades at $0.5500, while our model-based Fair Value estimate is $0.0600 — implying the stock looks roughly 89.1% overvalued today. We read business quality at 95/100 (high quality), in the Real Estate sector. Bear case: priced above our estimate, the market already discounts strong expectations. Bull case: above-average quality can justify a premium — the entry price still matters most (evidence: medium).
About the company
Autris, through its subsidiary, NitroHeat, LLC, assembles and supplies nitrogen generators, air filtration systems, compressed air heaters, and heated hoses. Its products include NitroMax30, a nitrogen generator producing 30cfm of pure nitrogen; HeatPro200, a compressed air heater for heating compressed air or nitrogen up to a maximum of 200f; MaxDry200, a tri stage filter, membrane dryer, and heater that is used to supply clean dry air for painting and other compressed air applications, including powder coating; and heated hoses, a sub component of the HeatPro200 and MaxDry200. In addition, it offers bitcoin treasure strategy. The company supplies its products to automotive and industrial paint service providers, and industrial component manufacturers, as well as auto collision facilities through a distributor network in the United States, Canada, Holland, Germany, and China. Autris is based in Los Angeles, California.
Open the full interactive analysis →
Similar stocks
Frequently asked questions
Is AUTR (AUTR) undervalued?
What is the fair value of AUTR?
What is the quality score of AUTR?
How we calculate Fair Value
Each company is valued through a stack of independent intrinsic-value models (DCF variants, residual-income, multiples and more), blended into one family-balanced consensus and weighted by how much trustworthy data backs it. A separate quality layer scores the fundamentals. Every input is real reported data — nothing guessed.
Educational research only · not financial advice · no buy/sell recommendation. Model-based estimates are not certainties; their reliability depends on data quality and assumptions.