Dubber Corporation (DUBRF) Fair Value & Analysis
Technology · US · Market cap $29.8M
Fair value as of: Jun 26, 2026
Analysis
Dubber Corporation (DUBRF) currently trades at $0.0110, while our model-based Fair Value estimate is $0.0120 — implying the stock looks roughly 9.0% undervalued today. We read business quality at 95/100 (high quality), in the Technology sector. Bull case: trading below our estimate, it may offer upside if the fundamentals hold. Bear case: a low price can be a value trap when quality is weak or the data is thin (evidence: low) — always confirm before acting.
About the company
Dubber Corporation Limited, together with its subsidiaries, provides unified call recording and conversation artificial intelligence services to the telecommunications industry in Australia, Europe, the United States, and internationally. The company offers insights, unified conversation capture, call recording, and conversation intelligence solutions. It also provides PCI-compliant cloud-based payment solutions, such as agent pay, pay-by-link, and interactive voice response assist. The company serves the finance, government, retail, healthcare, and automotive industries. The company was formerly known as Crucible Gold Limited and changed its name to Dubber Corporation Limited in December 2014. Dubber Corporation Limited was incorporated in 1999 and is headquartered in Melbourne, Australia.
Open the full interactive analysis →
Similar stocks
Frequently asked questions
Is Dubber Corporation (DUBRF) undervalued?
What is the fair value of DUBRF?
What is the quality score of DUBRF?
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.