Aquabounty Technologies (AQB) Assets (2016 - 2026)
Aquabounty Technologies (AQB) posted Assets of $11.71 million for Q2 2026, down 56.1% from $26.65 million a year earlier but up 14.2% from the prior quarter.
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Analysis
Aquabounty Technologies (AQB) Assets (2016 - 2026) Analysis & Trends
At the end of FY2025, Aquabounty Technologies' Assets came in at $10.34 million, down 69.6% from FY2024.
- Annual Assets has declined for four consecutive years, with a five-year compound annual growth rate of -39.3% (FY2020 to FY2025).
- In prior years, Aquabounty Technologies' Assets was $34.06 million in FY2024 (-81.8%), $187.55 million in FY2023 (-12.3%), $213.84 million in FY2022 (-6.4%) and $228.44 million in FY2021 (+81.6%).
- Quarterly Assets has run from a low of $10.25 million in Q1 2026 to a high of $231.35 million in Q3 2021 over five years.
- On a year-over-year basis, Assets has declined in each of the last 18 quarters, with an average decline of 69.2% over the last eight quarters.
- The strongest year-over-year quarter for Assets in the past five years was Q3 2021, with growth of 232.4%; the weakest was Q1 2025, with a decline of 83.3%.
- According to Business Quant data, Assets for the three prior quarters was $10.25 million (Q1 2026), $10.34 million (Q4 2025) and $24.17 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Archer-Daniels-Midland | 38.28 Bn | 34.57 Bn | 1.94 Bn | 53.53 Bn |
| 2 | Bunge Global | 20.79 Bn | 18.30 Bn | 1.68 Bn | 46.78 Bn |
| 3 | Tyson Foods | 17.93 Bn | 14.29 Bn | 921.00 Mn | 35.61 Bn |
| 4 | Jbs | 12.60 Bn | -20.51 Bn | 2.59 Bn | 45.84 Bn |
| 5 | Darling Ingredients | 9.52 Bn | 9.12 Bn | 503.37 Mn | 10.98 Bn |
| 6 | Smithfield Foods | 7.49 Bn | 2.44 Bn | 478.00 Mn | 12.01 Bn |
| 7 | Pilgrims Pride | 6.49 Bn | 4.32 Bn | 339.75 Mn | 10.03 Bn |
| 8 | Ingredion | 6.09 Bn | 2.26 Bn | 426.00 Mn | 8.07 Bn |
| 9 | Seaboard | 3.89 Bn | -931.52 Mn | 221.00 Mn | 8.68 Bn |
| 10 | Aquabounty Technologies | 4.89 Mn | 1.10 Mn | - | 11.71 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 11.71 Mn |
| Mar 31, 2026 | 10.25 Mn |
| Dec 31, 2025 | 10.34 Mn |
| Sep 30, 2025 | 24.17 Mn |
| Jun 30, 2025 | 26.65 Mn |
| Mar 31, 2025 | 29.43 Mn |
| Dec 31, 2024 | 34.06 Mn |
| Sep 30, 2024 | 117.79 Mn |
| Jun 30, 2024 | 127.44 Mn |
| Mar 31, 2024 | 176.18 Mn |
| Dec 31, 2023 | 187.55 Mn |
| Sep 30, 2023 | 192.55 Mn |
| Jun 30, 2023 | 210.22 Mn |
| Mar 31, 2023 | 206.29 Mn |
| Dec 31, 2022 | 213.84 Mn |
| Sep 30, 2022 | 222.69 Mn |
| Jun 30, 2022 | 220.14 Mn |
| Mar 31, 2022 | 221.65 Mn |
| Dec 31, 2021 | 228.44 Mn |
| Sep 30, 2021 | 231.35 Mn |
API Access
Aquabounty Technologies Assets 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=assets&ticker=AQB&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "assets", "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=assets&ticker=AQB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();