Monarch Specialties Corner Workstation Computer Desk, Gray/Black I 7160
![]() | Compare prices 2 → When you make a purchase through links on our site, we may receive a affiliate commission.
|
Buy Monarch Specialties Corner Workstation Computer Desk, Gray/Black I 7160
When you make a purchase through links on our site, we may receive a affiliate commission.
Gray and Black Metal Corner Computer Desk I 7160 | $359.99 | ||||
Monarch Specialties Corner Workstation Computer Desk, Gray/Black I 7160 | $398.99 | ||||
Study, write or just browse the Web at this contemporary and simply elegant computer desk featuring a convenient side station. The desk includes plenty of shelf space that helps to reduce desktop clutter, making your work environment neat. Strong and durable metal framing provides a sturdy base. Desktop is made from MDF with a smooth laminate finish to make your study area pop with a modern industrial style. Features a cubby with 2 open, fixed shelves with plenty of space for books, folders, binders and other large supplies. Side station includes 3 open-facing cubbies for decorations, paper or other necessities. Wide drawer holds loose supplies, including pens, pencils and staples, to reduce desktop clutter. L-shape design makes it easy to conserve space by keeping the desk in a corner. Assembly required. This product is heavy and/or oversized and may need more than one person to handle.
The product description is generated based on data from online stores. Before purchasing be sure to verify all information directly with the seller.

Back-to-School Shopping Guide: What Really Matters and What’s Just a Nice BonusA desk, a backpack with an orthopedic back, a tablet and other essential items for a schoolchild.

The Perfect Home Office: How to Create a Comfortable Remote WorkspaceEquipment and useful accessories for productive and efficient remote work
How to place an order?How to add store?
Remember that the online store is responsible for the accuracy of information regarding price, warranty, and delivery!
We recommendCompare using chart →












