Owlet (OWLT) Total Liabilities (2020 - 2026)
Owlet (OWLT) reported Total Liabilities of $70.43 million for Q2 2026, down 42.6% from $122.7 million a year earlier but up 7.1% from the prior quarter.
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Analysis
Owlet (OWLT) Total Liabilities (2020 - 2026) Analysis & Trends
At the end of FY2025, Owlet posted Total Liabilities of $66.59 million, down 16.6% from FY2024.
- Total Liabilities has a five-year compound annual growth rate of -9.2% (FY2020 to FY2025).
- By year, Total Liabilities came in at $79.86 million in FY2024 (-2.5%), $81.88 million in FY2023 (+19.1%), $68.74 million in FY2022 (-19.0%) and $84.86 million in FY2021 (-21.5%).
- Five-year quarterly Total Liabilities spans a low of $65.75 million in Q1 2026 and a high of $129.01 million in Q3 2025.
- Year over year, Total Liabilities has now declined in each of the last three quarters, with growth averaging 6.2% over the last eight quarters.
- The high point for year-over-year Total Liabilities in five years was Q3 2025 (growth of 66.3%); the low point was Q2 2022 (a decline of 74.1%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $65.75 million (Q1 2026), $66.59 million (Q4 2025) and $129.01 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | SharkNinja | 25.65 Bn | 23.31 Bn | 860.34 Mn | 2.75 Bn |
| 2 | Somnigroup International | 13.10 Bn | 12.65 Bn | 817.20 Mn | 8.38 Bn |
| 3 | Hni | 3.38 Bn | 2.95 Bn | 647.20 Mn | 3.01 Bn |
| 4 | Newell Brands | 2.32 Bn | 1.47 Bn | 812.00 Mn | 8.61 Bn |
| 5 | Sonos | 2.13 Bn | 1.02 Bn | 189.31 Mn | 478.59 Mn |
| 6 | Whirlpool | 2.04 Bn | -1.44 Bn | 442.00 Mn | 13.39 Bn |
| 7 | Corsair Gaming | 1.46 Bn | 1.00 Bn | 104.29 Mn | 551.41 Mn |
| 8 | Millerknoll | 1.38 Bn | 756.09 Mn | 395.60 Mn | 2.66 Bn |
| 9 | Arhaus | 1.36 Bn | 443.23 Mn | 172.07 Mn | 1.04 Bn |
| 10 | Owlet | 146.95 Mn | 21.32 Mn | 21.82 Mn | 70.43 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 70.43 Mn |
| Mar 31, 2026 | 65.75 Mn |
| Dec 31, 2025 | 66.59 Mn |
| Sep 30, 2025 | 129.01 Mn |
| Jun 30, 2025 | 122.70 Mn |
| Mar 31, 2025 | 77.20 Mn |
| Dec 31, 2024 | 79.86 Mn |
| Sep 30, 2024 | 77.59 Mn |
| Jun 30, 2024 | 79.32 Mn |
| Mar 31, 2024 | 76.76 Mn |
| Dec 31, 2023 | 81.88 Mn |
| Sep 30, 2023 | 74.24 Mn |
| Jun 30, 2023 | 84.58 Mn |
| Mar 31, 2023 | 86.10 Mn |
| Dec 31, 2022 | 68.74 Mn |
| Sep 30, 2022 | 76.26 Mn |
| Jun 30, 2022 | 80.35 Mn |
| Mar 31, 2022 | 94.30 Mn |
| Dec 31, 2021 | 84.86 Mn |
| Sep 30, 2021 | 83.30 Mn |
API Access
Owlet Total Liabilities 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=total-liabilities&ticker=OWLT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=OWLT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();