Sun Bum Tinted Sunscreen Lip Balm Broad Spectrum Spf 15 - Bonfire Stick
Product Images NDC 69039-736

Product Visual Gallery

This gallery contains 2 technical images submitted to the FDA as part of the official labeling for Sun Bum Tinted Sunscreen Lip Balm Broad Spectrum Spf 15 - Bonfire (NDC 69039-736). Unlike standard consumer photos, these assets often include clinical data figures, molecular chemical structures, and official manufacturer packaging layouts.

As provided by Sun Bum, Llc, these visuals offer a comprehensive scientific overview of the product's physical and chemical identity, aiding pharmacists and researchers in product verification and study.

FDA Label Image

Primary Artwork (Sb Tinted Lipbalm Blister Bonfire R1v1 444107)

The Sun Bum Tinted Lip Balm in the Bonfire shade comes in a single blister pack. This Lip Balm provides Broad Spectrum SPF 15 protection and is enriched with Coconut Oil and Aloe. The product is cruelty-free and oxybenzone-free, making it suitable for those who enjoy spending time in the sun. It is recommended to apply the lip balm liberally 15 minutes before sun exposure and reapply every 2 hours or more frequently if swimming or sweating. The formula contains various natural ingredients like beeswax, coconut oil, shea butter, and others, to keep the lips moisturized and protected. Additionally, the product is made in the USA with globally sourced components.*

FDA Label Image

Primary Artwork (Sb Tinted Lipbalm Bonfire R1v1 444106)

This text appears to be a detailed description related to a product or cosmetic item. The information includes Pantone color callouts, a specific tinted lip balm named "Bonfire" under the brand "Sun Bum," details about the file name, product purpose for sun protection, directions for use, precautions, ingredients list, and a note about the formulation of Sun Bum products to protect those who spend time in the sun. The text also covers production revision details and query about a stretched logo.*

* These product label images have been analyzed using experimental machine learning. Please verify findings with the primary label text.