Microwave Filter Company (MFCO) Fair Value & Analysis
Technology · US · Market cap $3.4M
Fair value as of: Jun 24, 2026
Analysis
Microwave Filter Company (MFCO) currently trades at $1.10, while our model-based Fair Value estimate is $1.58 — implying the stock looks roughly 43.6% 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
Microwave Filter Company, Inc. designs, develops, manufactures, and sells electronic filters for radio and microwave frequencies in New York. The company manufactures radio frequency filters and related components for eliminating interference and facilitating signal processing for cable television, broadcast, commercial and military communications, avionics, radar, navigation, and defense markets. It also designs waveguide, stripline/microstrip, transmission line, miniature/subminiature, and lumped constant filters. In addition, the company offers bandpass, highpass, lowpass, bandstop, multiplexer, tunable notch, tunable bandpass, amplitude equalized, delay equalized, and filter networks. Further, it provides broadcast and bullet trap CATV products, couplers, mask filters for UHF repack, microwave components, power divider RF and microwave products, SatCom filters, and wireless filters. The company was incorporated in 1967 and is based in East Syracuse, New York.
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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.