Skip to main content

Welcome

To
54 Below

A Nonprofit Cabaret Venue

This event is being streamed online. To purchase tickets for the in-person event, click here.

Return by popular demand! Calling all Gleeks! It’s the revival you’ve been waiting for! Grab your slushees and head down to 54th Street to celebrate the songs made famous by the iconic hit TV show, “GLEE.” From songs like “Don’t Stop Believing” … to “Loser Like Me,” this isn’t an episode you’ll want to miss. And that’s how Sue “C”s it.

Featuring:
Alex Allred
Ian Allred
Devin Bowles
 (Kinky Boots)
Lena Conatser
Maddie Conti
Megan Dwinell

Erin Engleman
Zach Faust
Luke Ferarri
 (Wild)
Max Heitmann
Bryson Jacobi Jackson (MJ: The Musical)
Nicole Lamb (Six)
Katie Lemmen
Andrew Maroney
Tyler McCall
 (Scott Siegel’s Great American Songbook Series)
Liam James McGettigan
Molly Oldham (Founder of “The Mighty Molly”)
Braden Phillips
Gabriella Joy Rodriguez
Molly Russo
Lily Soto
Justin David Sullivan 
(& Juliet)
Sue Sylvester

Alyssa Wray (“American Idol”)

Produced by Molly Heller and Cara Weglarz, with Caitlin Brightman as Associate Producer

Music Directed by James Stryska, with Jorden Amir as Assistant Music Director


Live from 54 Below is a new series featuring streams of LIVE performances direct from Broadway’s Living Room! Designed to make more shows accessible to fans from across the globe and to recreate the live experience, all shows will be presented exclusively at the time of performance with an in-house audience and will not be available on demand afterwards.

Past Performances

  • Sun, Jan 29
View Seat Map
The image features the logo of "54 Below," a renowned cabaret and dining club. The logo uses an elegant serif font with the number "54" prominently displayed and the word "BELOW" situated underneath. The text is gold on a dark brown background with a gold border surrounding the design.
Privacy Overview

This website uses cookies so that we can provide you with the best user experience possible. Cookie information is stored in your browser and performs functions such as recognizing you when you return to our website and helping our team to understand which sections of the website you find most interesting and useful.