Owlet (OWLT) Total Non-Current Liabilities (2020 - 2026)
Owlet's Total Non-Current Liabilities came in at $70.28 million for Q2 2026, down 42.6% from $122.51 million a year earlier but up 7.2% from the prior quarter.
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Analysis
Owlet (OWLT) Total Non-Current Liabilities (2020 - 2026) Analysis & Trends
At the end of FY2025, Owlet's Total Non-Current Liabilities was $66.39 million, down 16.6% from FY2024.
- Total Non-Current Liabilities carries a five-year compound annual growth rate of -8.8% (FY2020 to FY2025).
- Going back by year, Total Non-Current Liabilities was $79.63 million in FY2024 (-1.6%), $80.95 million in FY2023 (+18.2%), $68.49 million in FY2022 (-18.6%) and $84.14 million in FY2021 (-20.0%).
- The five-year range for quarterly Total Non-Current Liabilities is $65.58 million (Q1 2026) to $128.79 million (Q3 2025).
- Year-over-year, Total Non-Current Liabilities has declined for three consecutive quarters, with growth averaging 6.6% over the last eight quarters.
- The fastest year-over-year change in Total Non-Current Liabilities over five years came in Q3 2025 (growth of 66.3%), and the weakest in Q2 2022 (a decline of 71.9%).
- Business Quant data shows OWLT's Total Non-Current Liabilities at $65.58 million (Q1 2026), $66.39 million (Q4 2025) and $128.79 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | SharkNinja | 28.10 Bn | 25.76 Bn | 860.34 Mn | 2.70 Bn |
| 2 | Somnigroup International | 13.42 Bn | 12.96 Bn | 817.20 Mn | 8.25 Bn |
| 3 | Hni | 3.31 Bn | 2.88 Bn | 647.20 Mn | 2.82 Bn |
| 4 | Newell Brands | 2.42 Bn | 1.58 Bn | 812.00 Mn | 7.88 Bn |
| 5 | Sonos | 2.06 Bn | 962.88 Mn | 189.31 Mn | 475.62 Mn |
| 6 | Whirlpool | 1.82 Bn | -1.65 Bn | 442.00 Mn | 8.39 Bn |
| 7 | Arhaus | 1.52 Bn | 596.72 Mn | 172.07 Mn | 1.03 Bn |
| 8 | Millerknoll | 1.47 Bn | 771.78 Mn | 385.30 Mn | 2.47 Bn |
| 9 | Corsair Gaming | 1.41 Bn | 938.61 Mn | 104.29 Mn | 500.41 Mn |
| 10 | Owlet | 123.99 Mn | -1.64 Mn | 21.82 Mn | 70.28 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 70.28 Mn |
| Mar 31, 2026 | 65.58 Mn |
| Dec 31, 2025 | 66.39 Mn |
| Sep 30, 2025 | 128.79 Mn |
| Jun 30, 2025 | 122.51 Mn |
| Mar 31, 2025 | 77.19 Mn |
| Dec 31, 2024 | 79.63 Mn |
| Sep 30, 2024 | 77.45 Mn |
| Jun 30, 2024 | 79.17 Mn |
| Mar 31, 2024 | 76.06 Mn |
| Dec 31, 2023 | 80.95 Mn |
| Sep 30, 2023 | 72.76 Mn |
| Jun 30, 2023 | 82.81 Mn |
| Mar 31, 2023 | 84.09 Mn |
| Dec 31, 2022 | 68.49 Mn |
| Sep 30, 2022 | 75.98 Mn |
| Jun 30, 2022 | 80.10 Mn |
| Mar 31, 2022 | 94.10 Mn |
| Dec 31, 2021 | 84.14 Mn |
| Sep 30, 2021 | 83.03 Mn |
API Access
Owlet Total Non-Current 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-non-current-liabilities&ticker=OWLT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-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-non-current-liabilities&ticker=OWLT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();