Aquabounty Technologies (AQB) Operating Expenses (2016 - 2026)
Aquabounty Technologies' Operating Expenses was $799,258 in Q2 2026, down 33.2% from $1.2 million a year earlier but up 28.6% from the prior quarter.
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Analysis
Aquabounty Technologies (AQB) Operating Expenses (2016 - 2026) Analysis & Trends
On a trailing twelve-month basis, Aquabounty Technologies' Operating Expenses was $884,605 through Jun 30, 2026; for FY2025, it came in at $4.02 million, down 58.3% from FY2024.
- Operating Expenses has now declined for three consecutive years, with a five-year compound annual growth rate of -24.5% (FY2020 to FY2025).
- In earlier years, Operating Expenses was $9.63 million in FY2024 (-29.6%), $13.67 million in FY2023 (-46.3%), $25.46 million in FY2022 (+9.3%) and $23.3 million in FY2021 (+42.3%).
- Quarterly Operating Expenses has moved between -$24.08 million (Q4 2024) and $29.56 million (Q2 2024) over five years.
- The best year-over-year quarter for Operating Expenses over five years was Q2 2024 (growth of 308.8%); the worst was Q2 2025 (a decline of 96.0%).
- Per Business Quant data, AQB's Operating Expenses in the three quarters before Q2 2026 was $621,566 (Q1 2026), -$2.02 million (Q4 2025) and $1.48 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Archer-Daniels-Midland | 38.57 Bn | 34.57 Bn | 1.94 Bn | 1.04 Bn |
| 2 | Tyson Foods | 20.07 Bn | 16.33 Bn | 921.00 Mn | 559.00 Mn |
| 3 | Bunge Global | 19.93 Bn | 16.04 Bn | 1.68 Bn | 606.00 Mn |
| 4 | Jbs | 13.21 Bn | -20.06 Bn | 2.59 Bn | 1.99 Bn |
| 5 | Darling Ingredients | 8.80 Bn | 8.34 Bn | 503.37 Mn | 1.52 Bn |
| 6 | Smithfield Foods | 7.38 Bn | 2.33 Bn | 478.00 Mn | 191.00 Mn |
| 7 | Pilgrims Pride | 6.68 Bn | 4.49 Bn | 339.75 Mn | 273.80 Mn |
| 8 | Ingredion | 6.14 Bn | 2.32 Bn | 426.00 Mn | 45.00 Mn |
| 9 | Seaboard | 3.71 Bn | -1.13 Bn | 221.00 Mn | 121.00 Mn |
| 10 | Aquabounty Technologies | 5.12 Mn | 1.33 Mn | - | 799,258.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 799,258.00 |
| Mar 31, 2026 | 621,566.00 |
| Dec 31, 2025 | -2.02 Mn |
| Sep 30, 2025 | 1.48 Mn |
| Jun 30, 2025 | 1.20 Mn |
| Mar 31, 2025 | 1.17 Mn |
| Dec 31, 2024 | -24.08 Mn |
| Sep 30, 2024 | 1.62 Mn |
| Jun 30, 2024 | 29.56 Mn |
| Mar 31, 2024 | 2.53 Mn |
| Dec 31, 2023 | -7.25 Mn |
| Sep 30, 2023 | 6.81 Mn |
| Jun 30, 2023 | 7.23 Mn |
| Mar 31, 2023 | 6.88 Mn |
| Dec 31, 2022 | 6.56 Mn |
| Sep 30, 2022 | 6.19 Mn |
| Jun 30, 2022 | 6.64 Mn |
| Mar 31, 2022 | 6.07 Mn |
| Dec 31, 2021 | 6.46 Mn |
| Sep 30, 2021 | 7.27 Mn |
API Access
Aquabounty Technologies 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=AQB&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "AQB", "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=AQB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();