Tel-Instrument Electronics Corp (TIKK) Fair Value & Analysis
Industrials · US · Market cap $8.3M
Fair value as of: Jun 24, 2026
Analysis
Tel-Instrument Electronics Corp (TIKK) currently trades at $1.30, while our model-based Fair Value estimate is $1.67 — implying the stock looks roughly 28.5% undervalued today. We read business quality at 92/100 (high quality), in the Industrials 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: medium) — always confirm before acting.
About the company
Tel-Instrument Electronics Corp. engages in designing, manufacturing, and sales of avionics test and measurement instruments for the commercial air transport, general aviation, and government/military aerospace and defense markets in the United States and internationally. It operates through two segments, Avionics Government and Avionics Commercial. The company provides instruments to test, measure, calibrate, and repair a range of airborne navigation and communication equipment. The company offers TS-4530A and T-4530i, an identification friend or foe test sets; T-47/M5, a dual crypto test set; TR-420, T-47NH, and T-47G, a multifunction ramp test set; TR-100AF taccan test test; AN/USM-708 and AN/USM-719 communications/navigation radio frequency avionics flight line testers; SDR/OMNI, an avionics test set; and lockheed martin MADL test set, a secure communications radio for the F-35. It serves customers directly or through distributors. The company was incorporated in 1947 and is hea…
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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.