Aterian (ATER) Total Liabilities (2018 - 2026)
Aterian (ATER) recorded Total Liabilities of $10.91 million in Q2 2026, down 48.4% from $21.13 million a year earlier and down 13.9% from the prior quarter.
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Analysis
Aterian (ATER) Total Liabilities (2018 - 2026) Analysis & Trends
At the end of FY2025, Aterian reported Total Liabilities of $14.36 million, down 26.5% from FY2024.
- Annual Total Liabilities has declined for five straight years, with a five-year compound annual growth rate of -36.0% (FY2020 to FY2025).
- Across earlier years, Total Liabilities came in at $19.53 million in FY2024 (-24.4%), $25.84 million in FY2023 (-52.6%), $54.49 million in FY2022 (-39.0%) and $89.34 million in FY2021 (-33.4%).
- The Q2 2026 figure is the lowest quarterly Total Liabilities in data going back to Q4 2018.
- On a year-over-year basis, Total Liabilities has declined for five consecutive quarters, with an average decline of 29.4% over the last eight quarters.
- Peak year-over-year performance for Total Liabilities in the last five years was growth of 96.0% in Q3 2021, against a decline of 56.2% in Q1 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at $12.67 million (Q1 2026), $14.36 million (Q4 2025) and $17.51 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,654.24 Bn | 2,170.93 Bn | 104.83 Bn | 544.07 Bn |
| 2 | Home Depot | 289.19 Bn | 282.43 Bn | 16.12 Bn | 92.77 Bn |
| 3 | Tjx Companies | 143.39 Bn | 120.94 Bn | 5.07 Bn | 26.46 Bn |
| 4 | Lowes Companies | 105.29 Bn | 98.25 Bn | 8.58 Bn | 63.32 Bn |
| 5 | Ross Stores | 75.79 Bn | 58.72 Bn | 2.12 Bn | 9.24 Bn |
| 6 | Target | 72.00 Bn | 66.59 Bn | 8.94 Bn | 43.39 Bn |
| 7 | O Reilly Automotive | 70.61 Bn | 69.69 Bn | 2.52 Bn | 19.22 Bn |
| 8 | Carvana | 66.52 Bn | 58.12 Bn | 1.38 Bn | 9.41 Bn |
| 9 | Autozone | 47.57 Bn | 46.47 Bn | 2.52 Bn | 23.70 Bn |
| 10 | Aterian | 7.07 Mn | -10.24 Mn | 1,000.00 | 10.91 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 10.91 Mn |
| Mar 31, 2026 | 12.67 Mn |
| Dec 31, 2025 | 14.36 Mn |
| Sep 30, 2025 | 17.51 Mn |
| Jun 30, 2025 | 21.13 Mn |
| Mar 31, 2025 | 22.78 Mn |
| Dec 31, 2024 | 19.53 Mn |
| Sep 30, 2024 | 21.51 Mn |
| Jun 30, 2024 | 28.97 Mn |
| Mar 31, 2024 | 22.72 Mn |
| Dec 31, 2023 | 25.84 Mn |
| Sep 30, 2023 | 40.12 Mn |
| Jun 30, 2023 | 42.31 Mn |
| Mar 31, 2023 | 43.85 Mn |
| Dec 31, 2022 | 54.49 Mn |
| Sep 30, 2022 | 62.25 Mn |
| Jun 30, 2022 | 83.80 Mn |
| Mar 31, 2022 | 99.67 Mn |
| Dec 31, 2021 | 89.34 Mn |
| Sep 30, 2021 | 109.03 Mn |
API Access
Aterian 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=ATER&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "ticker": "ATER", "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=ATER&period=max&api_key=YOUR_API_KEY");
const data = await res.json();