Aterian (ATER) Operating Expenses (2018 - 2026)
Aterian (ATER) posted Operating Expenses of $3.96 million for Q2 2026, up 9.4% from $3.62 million a year earlier and up 23.0% from the prior quarter.
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Analysis
Aterian (ATER) Operating Expenses (2018 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Operating Expenses at Aterian was $36.11 million, down 13.6% year-over-year; for FY2025, it came in at $57.12 million, down 22.1% from FY2024.
- Annual Operating Expenses has declined for three consecutive years, with a five-year compound annual growth rate of -13.7% (FY2020 to FY2025).
- In prior years, Aterian's Operating Expenses was $73.32 million in FY2024 (-49.9%), $146.48 million in FY2023 (-48.4%), $283.68 million in FY2022 (+81.9%) and $155.94 million in FY2021 (+30.5%).
- Quarterly Operating Expenses has run from a low of $3.22 million in Q1 2026 to a high of $139.13 million in Q3 2022 over five years.
- On a year-over-year basis, Operating Expenses increased in 1 of the last eight quarters, with an average decline of 32.0%.
- The strongest year-over-year quarter for Operating Expenses in the past five years was Q3 2022, with growth of 233.6%; the weakest was Q2 2025, with a decline of 82.0%.
- According to Business Quant data, Operating Expenses for the three prior quarters was $3.22 million (Q1 2026), $16.22 million (Q4 2025) and $12.71 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,654.24 Bn | 2,170.93 Bn | 104.83 Bn | 173.15 Bn |
| 2 | Home Depot | 289.19 Bn | 282.43 Bn | 16.12 Bn | 9.28 Bn |
| 3 | Tjx Companies | 143.39 Bn | 120.94 Bn | 5.07 Bn | 3.09 Bn |
| 4 | Lowes Companies | 105.29 Bn | 98.25 Bn | 8.58 Bn | 4.46 Bn |
| 5 | Ross Stores | 75.79 Bn | 58.72 Bn | 2.12 Bn | 1.02 Bn |
| 6 | Target | 72.00 Bn | 66.59 Bn | 8.94 Bn | 5.73 Bn |
| 7 | O Reilly Automotive | 70.61 Bn | 69.69 Bn | 2.52 Bn | 1.53 Bn |
| 8 | Carvana | 66.52 Bn | 58.12 Bn | 1.38 Bn | 704.00 Mn |
| 9 | Autozone | 47.57 Bn | 46.47 Bn | 2.52 Bn | 1.60 Bn |
| 10 | Aterian | 7.07 Mn | -10.24 Mn | 1,000.00 | 3.96 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 3.96 Mn |
| Mar 31, 2026 | 3.22 Mn |
| Dec 31, 2025 | 16.22 Mn |
| Sep 30, 2025 | 12.71 Mn |
| Jun 30, 2025 | 3.62 Mn |
| Mar 31, 2025 | 3.39 Mn |
| Dec 31, 2024 | 17.22 Mn |
| Sep 30, 2024 | 17.56 Mn |
| Jun 30, 2024 | 20.10 Mn |
| Mar 31, 2024 | 18.45 Mn |
| Dec 31, 2023 | 24.95 Mn |
| Sep 30, 2023 | 26.10 Mn |
| Jun 30, 2023 | 51.33 Mn |
| Mar 31, 2023 | 44.09 Mn |
| Dec 31, 2022 | 43.16 Mn |
| Sep 30, 2022 | 139.13 Mn |
| Jun 30, 2022 | 41.48 Mn |
| Mar 31, 2022 | 59.90 Mn |
| Dec 31, 2021 | 32.15 Mn |
| Sep 30, 2021 | 41.70 Mn |
API Access
Aterian Operating Expenses 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-expenses&ticker=ATER&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=ATER&period=max&api_key=YOUR_API_KEY");
const data = await res.json();