Skip to main content

Welcome

To
54 Below

A Nonprofit Cabaret Venue

This performance will also be livestreamed. For tickets and more information, click here.

Back 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 (54 Sings The Glee Version)
Jack Austin (20 and Under Sing 20 and Over)
Brandon Cameron (Hadestown)
Lena Conatser (Recovering Gleek: A Glee Podcast)
Jeffrey Cornelius (Dear Evan Hansen)
Morgan Dudley (Disney’s Descendents: The Rise of Red)
Erin Engleman (The Swamp: A Celebration of the Shrek Movies AND Musical)
Zach Faust (TikTok’s sue Sylvester)
Tommy Kaiser (Rent)
Micaela Lamas (Dear Evan Hansen)
Nicole Lamb (SIX)
Katie Lemmen(No Hard Feelings)
Mariah Lyttle (Bad Cinderella, The Color Purple)
Andrew Maroney (54 Sings The Glee Version)
Liam McGettigan (54 Sings The Glee Version)
Joel Meyers (Harry Potter and the Cursed Child)
Molly Oldham (The Molly Impact)
Gabriella Joy Rodriguez (The Color Purple)
Lily Soto
Piper Watkins 
Alyssa Wray (“American Idol”)

Produced by Molly Heller and Cara Weglarz, and associate produced by Caitlin Brightman. Music Directed by James Stryska.


Please note that all artists and acts are subject to change at any time.

Past Performances

  • Sun, Aug 6 :9:30 pm
View Seating Chart Find Out about Group Sales 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.