The Highest-Returning DTC Categories to Acquire in 2025
Not all DTC categories are created equal for acquirers. Based on verified deal data, here are the categories generating the strongest risk-adjusted returns — and the ones to avoid.
Picking the right category in DTC acquisitions is as important as picking the right business. Category dynamics — repeat purchase frequency, margin structure, regulatory environment, and defensibility against Amazon — determine the ceiling on what you can build and how you'll eventually exit.
1. Health & Wellness (Supplements, Hydration, Functional Nutrition)
Why it's the top category: Secular growth tailwinds, high repeat purchase frequency, and a customer base that self-selects for product loyalty. The supplement market is growing at 8–10% annually, and sub-$5M Shopify brands in this space routinely generate gross margins of 65–75%.
What acquirers look for: Subscription revenue above 25%, proprietary formulation or clinical backing, and a customer base that reorders on 30–45 day cycles.
Return profile: 3.5–5.5x SDE at acquisition. Post-acquisition, well-operated supplements brands have been acquired at 5–8x SDE in strategic exits to larger players.
2. Pet Care
Why it works: Pet owners are the single most recession-resistant consumer segment in DTC. Spending on pets held up through 2008, through Covid, and through the 2022 inflation spike. Brands that serve the premium pet market — high-quality food, supplements, accessories — attract customers with exceptional LTV and low price sensitivity.
What makes pet brands defensible: Vet recommendations, ingredient transparency, and community (pet-owner communities around specific breeds or philosophies are some of the most engaged in e-commerce).
Return profile: 3–4.5x SDE at acquisition. The category is less crowded than supplements, which means less multiple compression from supply of deals.
3. Beauty & Skincare
Why it trades at a premium: Once a customer finds a skincare routine that works, switching costs are high and reorder rates are exceptional. The best DTC skincare brands have retention profiles that outperform almost any other category.
The acquisition opportunity: The beauty space has seen significant VC-backed brand consolidation, creating a cohort of well-built brands that raised money, didn't achieve unicorn scale, and are now available at reasonable multiples.
Return profile: 3–5x SDE, with strategic acquirers (larger beauty groups, private label rollups) paying 5–7x for brands with proven acquisition economics.
4. Home & Living (Premium, Non-Fast-Fashion)
The case for home: High average order values ($100–$300+) mean that even modest customer counts generate significant revenue. The premium home category also skews toward gift purchases, which drives new customer acquisition organically through gifting occasions.
The acquisition opportunity: Home brands often trade at lower multiples than health or beauty despite comparable metrics, partly because they're perceived as lower repeat-frequency. Acquirers who can demonstrate a subscription or bundle strategy for home brands can close a significant valuation gap.
Return profile: 2.5–4x SDE. Less competition for deals means better entry prices.
Categories to Approach With Caution
- Apparel (trend-dependent): Inventory risk, fashion cycles, and Amazon replication make this a challenging category unless the brand has a genuine community or licensing angle.
- Food & Beverage (perishable): Cold chain logistics, shelf life, and the complexity of food regulation create operational overhead that most DTC acquirers underestimate.
- Tech accessories: Extremely vulnerable to Chinese direct-to-consumer competition and Amazon private label. Defensibility requires strong brand loyalty, not just a clever product.
The Meta-Point on Category Selection
Category is a filter, not a guarantee. A poorly-operated health brand is a worse acquisition than a well-operated home goods brand. But category selection determines the structural headwinds and tailwinds you'll be managing. Start with categories where the fundamentals support the thesis, then find the best operators within those categories.