Owlet (OWLT) Operating Expenses (2020 - 2026)
Owlet (OWLT) recorded Operating Expenses of $20.08 million in Q2 2026, up 33.3% from $15.06 million a year earlier and up 13.8% from the prior quarter.
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Analysis
Owlet (OWLT) Operating Expenses (2020 - 2026) Analysis & Trends
On a TTM basis, Owlet's Operating Expenses came in at $70.12 million as of Jun 30, 2026, up 10.3% year-over-year; for FY2025, it was $61.4 million, up 3.4% from FY2024.
- Annual Operating Expenses has a five-year compound annual growth rate of 7.5% (FY2020 to FY2025).
- Across earlier years, Operating Expenses came in at $59.37 million in FY2024 (+15.9%), $51.22 million in FY2023 (-52.5%), $107.93 million in FY2022 (+18.8%) and $90.85 million in FY2021 (+111.9%).
- The Q2 2026 figure is the highest quarterly Operating Expenses since Q4 2022.
- On a year-over-year basis, Operating Expenses rose in six of the last eight quarters, with growth averaging 20.9%.
- Peak year-over-year performance for Operating Expenses in the last five years was growth of 161.7% in Q3 2021, against a decline of 57.6% in Q3 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at $17.64 million (Q1 2026), $17.46 million (Q4 2025) and $14.93 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | SharkNinja | 25.65 Bn | 23.31 Bn | 860.34 Mn | 680.96 Mn |
| 2 | Somnigroup International | 13.10 Bn | 12.65 Bn | 817.20 Mn | - |
| 3 | Hni | 3.38 Bn | 2.95 Bn | 647.20 Mn | 550.90 Mn |
| 4 | Newell Brands | 2.32 Bn | 1.47 Bn | 812.00 Mn | 529.00 Mn |
| 5 | Sonos | 2.13 Bn | 1.02 Bn | 189.31 Mn | 157.78 Mn |
| 6 | Whirlpool | 2.04 Bn | -1.44 Bn | 442.00 Mn | 412.00 Mn |
| 7 | Corsair Gaming | 1.46 Bn | 1.00 Bn | 104.29 Mn | 96.68 Mn |
| 8 | Millerknoll | 1.38 Bn | 756.09 Mn | 395.60 Mn | 344.20 Mn |
| 9 | Arhaus | 1.36 Bn | 443.23 Mn | 172.07 Mn | 117.81 Mn |
| 10 | Owlet | 146.95 Mn | 21.32 Mn | 21.82 Mn | 20.08 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 20.08 Mn |
| Mar 31, 2026 | 17.64 Mn |
| Dec 31, 2025 | 17.46 Mn |
| Sep 30, 2025 | 14.93 Mn |
| Jun 30, 2025 | 15.06 Mn |
| Mar 31, 2025 | 13.95 Mn |
| Dec 31, 2024 | 18.22 Mn |
| Sep 30, 2024 | 16.37 Mn |
| Jun 30, 2024 | 12.50 Mn |
| Mar 31, 2024 | 12.29 Mn |
| Dec 31, 2023 | 12.95 Mn |
| Sep 30, 2023 | 11.21 Mn |
| Jun 30, 2023 | 11.95 Mn |
| Mar 31, 2023 | 15.11 Mn |
| Dec 31, 2022 | 24.06 Mn |
| Sep 30, 2022 | 26.43 Mn |
| Jun 30, 2022 | 26.99 Mn |
| Mar 31, 2022 | 30.45 Mn |
| Dec 31, 2021 | 27.31 Mn |
| Sep 30, 2021 | 28.64 Mn |
API Access
Owlet Operating Expenses 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=operating-expenses&ticker=OWLT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=OWLT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();