Credo Technology Group Holding Ltd. (CRDO) came out with quarterly earnings of $1.16 per share, beating the Zacks Consensus Estimate of $1.03 per share.
Credo Technology Group NASDAQ: CRDO reported record fiscal fourth-quarter and full-year results, with management pointing to strong demand for artificial intelligence data center connectivity and forecasting another year of rapid growth.
At $221.23, Credo Technology (NASDAQ:CRDO | CRDO Price Prediction) is a hold.
CRDO to report fiscal Q4 2026 results on June 1; consensus calls for $1.03 EPS on $430M revenues as AEC and hyperscaler demand ramps.
Credo Technology Group Holding Ltd. remains a buy ahead of Q4 earnings, with strong catalysts from the AI super-cycle and recent DustPhotonics acquisition. CRDO's Q3 results showed 201.5% YoY revenue growth, 328% YoY EPS growth, and robust operating leverage, supporting continued bullish sentiment. The DustPhotonics acquisition expands CRDO's TAM and positions it to capture significant market share in optical and AEC solutions for hyperscalers.
As Nvidia exceeds a $5 trillion market cap investor may find more upside in shares of Innodata, Credo Technology Group and Qualcomm.
Credo is betting big on AEC adoption, new product families and a $750M DustPhotonics deal - while Coherent scales transceivers and OCS.
CRDO jumped 8.3% after teaming with Rebellions to integrate ZeroFlap cables into RebelPOD, targeting scalable AI factories for enterprise inference.
This connectivity company is cashing in on the AI boom.
Credo (NASDAQ:CRDO | CRDO Price Prediction) slid from $210.97 on May 11 to below $160 in five trading days, and the only question that matters at this price is whether hyperscaler capex still justifies n 87x trailing earnings multiple.
CRDO's strong cash position and record growth are powering expansion through AEC scaling, optics bets and strategic acquisitions.
I am opening with the verdict because the setup matters. Credo Technology (NASDAQ:CRDO | CRDO Price Prediction) has staged one of the most explosive rallies in the AI infrastructure complex, but our proprietary model suggests the run has gotten ahead of fundamentals.