Owlet (OWLT) Operating Leases (2022 - 2023)
Owlet's Operating Leases came in at $22,000 for Q4 2023, down 98.1% from $1.16 million a year earlier and down 69.4% from the prior quarter.
Analysis
Owlet (OWLT) Operating Leases (2022 - 2023) Analysis & Trends
Going back to Q1 2022, Owlet's Operating Leases data covers 8 quarters.
- Going back by year, Operating Leases was $1.16 million in FY2022.
- The Q4 2023 figure represents the lowest quarterly Operating Leases in data going back to Q1 2022.
- Year-over-year, Operating Leases has declined for four consecutive quarters, with an average decline of 86.8% over the last four quarters.
- Business Quant data shows OWLT's Operating Leases at $72,000 (Q3 2023), $265,000 (Q2 2023) and $715,000 (Q1 2023) in the three quarters before Q4 2023.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | SharkNinja | 25.65 Bn | 23.31 Bn | 860.34 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 |
| 6 | Whirlpool | 2.04 Bn | -1.44 Bn | 442.00 Mn |
| 7 | Corsair Gaming | 1.46 Bn | 1.00 Bn | 104.29 Mn |
| 8 | Millerknoll | 1.38 Bn | 756.09 Mn | 395.60 Mn |
| 9 | Arhaus | 1.36 Bn | 443.23 Mn | 172.07 Mn |
| 10 | Owlet | 146.95 Mn | 21.32 Mn | 21.82 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2023 | 22,000.00 |
| Sep 30, 2023 | 72,000.00 |
| Jun 30, 2023 | 265,000.00 |
| Mar 31, 2023 | 715,000.00 |
| Dec 31, 2022 | 1.16 Mn |
| Sep 30, 2022 | 1.59 Mn |
| Jun 30, 2022 | 2.11 Mn |
| Mar 31, 2022 | 2.10 Mn |
API Access
Owlet Operating Leases 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-leases&ticker=OWLT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-leases", "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-leases&ticker=OWLT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();