Wenlia One Piece Flared Bodysuit Jumpsuit for Women, Square Neck Sleeveless Bodycon Flare Leggings Unitard Romper


Price: $14.99
(as of Sep 07, 2024 07:07:02 UTC – Details)


Product Description

Wenlia Full Body Jumpsuit Flared Pants One Piece Workout Athletic Jumpsuits Sleeveless Bodycon Flare Leggings UnitardSleeveless Bodycon Flare Leggings Unitard

Sleeveless Bodycon Flare Leggings UnitardSleeveless Bodycon Flare Leggings Unitard

Product Information Very soft, bra support, lightweight, comfortable and breathable. Cool and relax for the running day! Slim fitting full length design, very pleasant to the leg, it does not hold down movements. Pair this casual pants with all kinds of shoes, make a chic look.

Square Neck Sleeveless Bodycon Flare Leggings Unitard Romper Wenlia One Piece Flared Bodysuit Jumpsuit Bodycon Unitard

Wenlia Full Body Flare Bodysuit Jumpsuit Athletic Jumpsuits

Wenlia One Piece Flared Bodysuit Jumpsuit Bodycon Leggings

Wenlia High Quality Stretchy Square Neck Tank Sleeveless Flare Jumpsuits Sleeveless Bodycon Flare Leggings UnitardSleeveless Bodycon Flare Leggings Unitard

Wenlia Jumpsuit for Women Flared Pants One Piece Workout Athletic Jumpsuits Sleeveless Bodycon Flare Leggings UnitardSleeveless Bodycon Flare Leggings Unitard

Sleeveless Bodycon Flare Leggings UnitardSleeveless Bodycon Flare Leggings Unitard

Sleeveless Bodycon Flare Leggings UnitardSleeveless Bodycon Flare Leggings Unitard

This casual fashion running onesie is plus size available.If you want a more comfy loose fit, we would suggest order 1 size up, stick to your normal size works out as well.

Package Dimensions ‏ : ‎ 7.95 x 6.93 x 2.09 inches; 13.44 ounces
Item model number ‏ : ‎ YJ003
Department ‏ : ‎ Women
Date First Available ‏ : ‎ December 14, 2023
Manufacturer ‏ : ‎ Wenlia
ASIN ‏ : ‎ B0CQ78XS1Y

Customers say

Customers like the comfort, fit, and style of the one piece outfit. For example, they mention it’s very soft, stylish, and flattering. That said, they appreciate the color and material.

AI-generated from the text of customer reviews