
We install premium black, brown, or red mulch to refresh garden beds, suppress weeds, retain moisture, and boost curb appeal. Our clean, professional installation gives your landscape a polished, healthy look that lasts all season.

We install high‑quality decorative rock, from river boulders to crushed granite, creating durable, low‑maintenance accents for beds, borders, and walkways. A long‑lasting upgrade that adds texture and modern style to your landscape.

We place river rock, pea gravel, or crushed stone with precision to enhance beds, pathways, and driveways. Decorative stone adds clean texture, improves drainage, and delivers a polished, low‑maintenance finish to your outdoor spaces.

We design and build strong retaining walls using stone, block, or timber to prevent erosion, stabilize slopes, and create terraced spaces. A functional and attractive upgrade that improves structure and boosts curb appeal.

We prune shrubs to remove deadwood, shape growth, and improve airflow for healthier plants. Our detailed trimming enhances appearance, supports strong seasonal growth, and keeps your landscape looking clean and well‑maintained.

We trim and shape hedges for clean, uniform lines that elevate your property’s appearance. Our precise work controls growth, improves plant health, and creates crisp borders for homes and commercial landscapes.

We trim trees to remove dead or overgrown branches, improve airflow, and shape canopies for healthier, safer growth. Professional pruning enhances beauty, reduces hazards, and supports long‑term tree strength.
Reach out to Sunny Days Lawn Care LLC for expert landscaping services in Kalamazoo and Battle Creek. Contact us by online form, phone, or email to book storm cleanup, trimming, removal, and stump grinding—get a free quote.
Sunny Days Lawn Care LLC
103 Fox Ave Battle Creek Michigan 49037
Copyright © 2024 Sunny Days Lawn Care LLC - All Rights Reserved.
We use cookies to analyze website traffic and optimize your website experience. By accepting our use of cookies, your data will be aggregated with all other user data.