READY FOR JASON: Ask Page — How does the Oura $16B IPO affect how hardware + SaaS hybrid companies are valued?
If you have a connected device plus subscription revenue, understanding which part of your business drives your valuation multiple could be worth 10–15x more than you think.
Context: A venture-backed founder navigating an exit, raise, or capital decision.
How Hardware + SaaS Hybrid Companies Are Valued (The Oura $16B Framework)
Oura just filed for a $16B IPO. They make a ring. They also have a subscription service. The market is valuing them at 27x+ revenue . because buyers aren't seeing hardware. They're seeing a recurring data platform with a physical moat.
If you have a connected device plus subscription revenue, understanding which part of your business drives your valuation multiple could be worth 10â15x more than you think.
The core valuation tension
- Hardware multiples: 1â3x revenue (low margin, commodity risk)
- SaaS/subscription multiples: 3â10x ARR (recurring, predictable, sticky)
- Hybrid companies: 4â8x blended . but only if the subscription layer is genuinely valued, not discounted
What acquirers and PE buyers actually value in your hybrid
- Subscription attach rate (what % of hardware buyers subscribe?)
- Retention (are subscribers churning within 12 months?)
- Data moat (what does your device data uniquely enable?)
- Revenue mix (if <40% of revenue is subscription, acquirers treat you as hardware)
- Gross margin split (hardware COGS drag vs. software margin expansion)
The Oura benchmark
- Oura: ~$11B valuation (Oct 2025), targeting $16B IPO (Sep 2026)
- Revenue: ~$500-600M estimated (implies 26â32x EV/Revenue)
- Why premium: 95%+ subscription attach rate, health data network effects, Apple Watch-adjacent category
- Lesson: the multiple follows the subscription dominance, not the physical product
How to reframe your story for a transaction
1. Separate hardware and subscription revenue in your pitch deck (never blend) 2. Show trailing 12-month subscription retention (LTV/CAC matters more than hardware margin) 3. Quantify the data moat: what decisions does your platform enable that no one else can? 4. Benchmark to software comps, not hardware comps, for the subscription layer
Common mistakes
- Presenting to hardware-focused buyers (they'll discount the software layer)
- Not separating gross margins by segment (hardware drag obscures software margin)
- Undervaluing the data asset in exit negotiations
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