Owlet (OWLT) Property, Plant & Equipment (Net) (2020 - 2026)
Owlet (OWLT) posted Property, Plant & Equipment (Net) of $826,000 for Q2 2026, up 344.1% from $186,000 a year earlier and up 14.7% from the prior quarter.
Owlet (OWLT) Property, Plant & Equipment (Net) (2020 - 2026) Analysis & Trends
At the end of FY2025, Owlet's Property, Plant & Equipment (Net) came in at $295,000, up 189.2% from FY2024.
- Annual Property, Plant & Equipment (Net) shows a five-year compound annual growth rate of -29.7% (FY2020 to FY2025).
- In prior years, Owlet's Property, Plant & Equipment (Net) was $102,000 in FY2024 (-72.9%), $377,000 in FY2023 (-66.0%), $1.11 million in FY2022 (-40.7%) and $1.87 million in FY2021 (+8.8%).
- The Q2 2026 figure stands as the highest quarterly Property, Plant & Equipment (Net) since Q1 2023.
- On a year-over-year basis, Property, Plant & Equipment (Net) has increased in each of the last four quarters, with growth averaging 130.0% over the last eight quarters.
- The strongest year-over-year quarter for Property, Plant & Equipment (Net) in the past five years was Q1 2026, with growth of 627.3%; the weakest was Q4 2024, with a decline of 72.9%.
- According to Business Quant data, Property, Plant & Equipment (Net) for the three prior quarters was $720,000 (Q1 2026), $295,000 (Q4 2025) and $290,000 (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PP&E (Net) (Qtr) |
|---|---|---|---|---|---|
| 1 | SharkNinja | 31.91 Bn | 29.35 Bn | 1.17 Bn | 253.07 Mn |
| 2 | Somnigroup International | 14.46 Bn | 13.50 Bn | 987.70 Mn | 2.23 Bn |
| 3 | Hni | 3.56 Bn | 3.24 Bn | 678.50 Mn | 1.02 Bn |
| 4 | Newell Brands | 2.53 Bn | 1.66 Bn | 649.00 Mn | 1.16 Bn |
| 5 | Arhaus | 2.11 Bn | 1.13 Bn | 144.42 Mn | 338.08 Mn |
| 6 | Whirlpool | 2.00 Bn | -1.65 Bn | 473.00 Mn | 2.22 Bn |
| 7 | Sonos | 2.00 Bn | 2.00 Bn | 158.73 Mn | 55.08 Mn |
| 8 | Cricut | 1.81 Bn | 714.91 Mn | 108.88 Mn | 52.03 Mn |
| 9 | Millerknoll | 1.51 Bn | 871.52 Mn | 385.30 Mn | 515.40 Mn |
| 10 | Owlet | 125.05 Mn | -577,553.16 | 21.82 Mn | 826,000.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 826,000.00 |
| Mar 31, 2026 | 720,000.00 |
| Dec 31, 2025 | 295,000.00 |
| Sep 30, 2025 | 290,000.00 |
| Jun 30, 2025 | 186,000.00 |
| Mar 31, 2025 | 99,000.00 |
| Dec 31, 2024 | 102,000.00 |
| Sep 30, 2024 | 152,000.00 |
| Jun 30, 2024 | 193,000.00 |
| Mar 31, 2024 | 284,000.00 |
| Dec 31, 2023 | 377,000.00 |
| Sep 30, 2023 | 496,000.00 |
| Jun 30, 2023 | 609,000.00 |
| Mar 31, 2023 | 834,000.00 |
| Dec 31, 2022 | 1.11 Mn |
| Sep 30, 2022 | 1.38 Mn |
| Jun 30, 2022 | 1.71 Mn |
| Mar 31, 2022 | 1.74 Mn |
| Dec 31, 2021 | 1.87 Mn |
| Sep 30, 2021 | 1.89 Mn |
Owlet Property, Plant & Equipment (Net) 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=property-plant-and-equipment-net&ticker=OWLT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-plant-and-equipment-net", "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=property-plant-and-equipment-net&ticker=OWLT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();