Owlet (OWLT) Research & Development (2020 - 2026)
Owlet's Research & Development was $4.56 million in Q2 2026, up 22.4% from $3.73 million a year earlier and up 16.4% from the prior quarter.
Owlet (OWLT) Research & Development (2020 - 2026) Analysis & Trends
On a trailing twelve-month basis, Owlet's Research & Development was $15.87 million through Jun 30, 2026, up 36.9% year-over-year; for FY2025, it came in at $13.99 million, up 44.5% from FY2024.
- Research & Development shows a five-year compound annual growth rate of 6.0% (FY2020 to FY2025).
- In earlier years, Research & Development was $9.69 million in FY2024 (-6.4%), $10.35 million in FY2023 (-62.9%), $27.9 million in FY2022 (+30.2%) and $21.43 million in FY2021 (+104.7%).
- The Q2 2026 figure marks the highest quarterly Research & Development since Q3 2022.
- Compared with a year earlier, Research & Development has increased for eight straight quarters, with growth averaging 30.9% over the last eight quarters.
- The best year-over-year quarter for Research & Development over five years was Q4 2021 (growth of 152.8%); the worst was Q1 2023 (a decline of 66.2%).
- Per Business Quant data, OWLT's Research & Development in the three quarters before Q2 2026 was $3.92 million (Q1 2026), $3.62 million (Q4 2025) and $3.77 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | R&D (Qtr) |
|---|---|---|---|---|---|
| 1 | SharkNinja | 25.65 Bn | 23.31 Bn | 860.34 Mn | 109.33 Mn |
| 2 | Somnigroup International | 13.10 Bn | 12.65 Bn | 817.20 Mn | - |
| 3 | Hni | 3.38 Bn | 2.95 Bn | 647.20 Mn | - |
| 4 | Newell Brands | 2.32 Bn | 1.47 Bn | 812.00 Mn | - |
| 5 | Sonos | 2.13 Bn | 1.02 Bn | 189.31 Mn | 67.88 Mn |
| 6 | Whirlpool | 2.04 Bn | -1.44 Bn | 442.00 Mn | - |
| 7 | Corsair Gaming | 1.46 Bn | 1.00 Bn | 104.29 Mn | 15.45 Mn |
| 8 | Millerknoll | 1.38 Bn | 756.09 Mn | 395.60 Mn | 35.40 Mn |
| 9 | Arhaus | 1.36 Bn | 443.23 Mn | 172.07 Mn | - |
| 10 | Owlet | 146.95 Mn | 21.32 Mn | 21.82 Mn | 4.56 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 4.56 Mn |
| Mar 31, 2026 | 3.92 Mn |
| Dec 31, 2025 | 3.62 Mn |
| Sep 30, 2025 | 3.77 Mn |
| Jun 30, 2025 | 3.73 Mn |
| Mar 31, 2025 | 2.88 Mn |
| Dec 31, 2024 | 2.43 Mn |
| Sep 30, 2024 | 2.56 Mn |
| Jun 30, 2024 | 2.35 Mn |
| Mar 31, 2024 | 2.35 Mn |
| Dec 31, 2023 | 2.29 Mn |
| Sep 30, 2023 | 2.43 Mn |
| Jun 30, 2023 | 2.75 Mn |
| Mar 31, 2023 | 2.89 Mn |
| Dec 31, 2022 | 4.52 Mn |
| Sep 30, 2022 | 7.07 Mn |
| Jun 30, 2022 | 7.77 Mn |
| Mar 31, 2022 | 8.55 Mn |
| Dec 31, 2021 | 7.16 Mn |
| Sep 30, 2021 | 6.32 Mn |
Owlet Research & Development API
Pull this series into your own models, spreadsheets and apps with the Business Quant
Historical Metrics API. The request below matches the chart above — change the
frequency, period or values and it follows. Swap YOUR_API_KEY for your own key.
https://data.businessquant.com/historic?slug=research-and-development&ticker=OWLT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "research-and-development", "ticker": "OWLT", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=research-and-development&ticker=OWLT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();