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.
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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 | 31.69 Bn | 29.13 Bn | 1.17 Bn |
| 2 | Somnigroup International | 13.47 Bn | 13.01 Bn | 817.20 Mn |
| 3 | Hni | 3.53 Bn | 3.02 Bn | 678.50 Mn |
| 4 | Newell Brands | 2.47 Bn | 1.61 Bn | 649.00 Mn |
| 5 | Arhaus | 2.10 Bn | 1.18 Bn | 172.07 Mn |
| 6 | Whirlpool | 2.01 Bn | -1.62 Bn | 473.00 Mn |
| 7 | Sonos | 1.98 Bn | 882.58 Mn | 189.31 Mn |
| 8 | Cricut | 1.78 Bn | 692.26 Mn | 108.88 Mn |
| 9 | Millerknoll | 1.50 Bn | 796.73 Mn | 385.30 Mn |
| 10 | Owlet | 127.73 Mn | 2.10 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_KEYimport 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();