Aquabounty Technologies (AQB) Current Assets (2015 - 2026)
Aquabounty Technologies' Current Assets was $9.93 million in Q3 2026, up 572.9% from $1.48 million a year earlier but down 15.2% from the prior quarter.
Aquabounty Technologies (AQB) Current Assets (2015 - 2026) Analysis & Trends
At the end of FY2025, Current Assets at Aquabounty Technologies came in at $10.32 million, down 9.0% from FY2024.
- Current Assets has now declined for four consecutive years, with a five-year compound annual growth rate of -36.2% (FY2020 to FY2025).
- In earlier years, Current Assets was $11.34 million in FY2024 (-63.4%), $31.01 million in FY2023 (-70.8%), $106.05 million in FY2022 (-45.1%) and $193.03 million in FY2021 (+97.6%).
- Quarterly Current Assets has moved between $1.48 million (Q3 2025) and $193.03 million (Q4 2021) over five years.
- Compared with a year earlier, Current Assets has increased for three straight quarters, with growth averaging 77.4% over the last eight quarters.
- The best year-over-year quarter for Current Assets over five years was Q3 2026 (growth of 572.9%); the worst was Q3 2025 (a decline of 96.0%).
- Per Business Quant data, AQB's Current Assets in the three quarters before Q3 2026 was $11.7 million (Q2 2026), $10.23 million (Q1 2026) and $10.32 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Archer-Daniels-Midland | 34.69 Bn | 31.46 Bn | 1.89 Bn | 29.62 Bn |
| 2 | Tyson Foods | 20.70 Bn | 17.06 Bn | 921.00 Mn | 9.46 Bn |
| 3 | Bunge Global | 19.53 Bn | 17.95 Bn | 1.33 Bn | 29.21 Bn |
| 4 | Jbs | 13.49 Bn | -2.10 Bn | 2.41 Bn | 18.65 Bn |
| 5 | Darling Ingredients | 8.67 Bn | 8.25 Bn | 477.54 Mn | 1.60 Bn |
| 6 | Smithfield Foods | 7.56 Bn | 2.38 Bn | 313.00 Mn | 5.12 Bn |
| 7 | Pilgrims Pride | 6.70 Bn | 4.20 Bn | 333.67 Mn | 4.47 Bn |
| 8 | Ingredion | 5.86 Bn | 1.97 Bn | 399.00 Mn | 3.56 Bn |
| 9 | Scotts Miracle-Gro | 3.71 Bn | 3.71 Bn | - | 863.00 Mn |
| 10 | Aquabounty Technologies | 4.69 Mn | -36.65 Mn | - | 9.93 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 9.93 Mn |
| Jun 30, 2026 | 11.70 Mn |
| Mar 31, 2026 | 10.23 Mn |
| Dec 31, 2025 | 10.32 Mn |
| Sep 30, 2025 | 1.48 Mn |
| Jun 30, 2025 | 3.95 Mn |
| Mar 31, 2025 | 6.72 Mn |
| Dec 31, 2024 | 11.34 Mn |
| Sep 30, 2024 | 37.34 Mn |
| Jun 30, 2024 | 36.74 Mn |
| Mar 31, 2024 | 4.33 Mn |
| Dec 31, 2023 | 31.01 Mn |
| Sep 30, 2023 | 22.43 Mn |
| Jun 30, 2023 | 48.57 Mn |
| Mar 31, 2023 | 77.44 Mn |
| Dec 31, 2022 | 106.05 Mn |
| Sep 30, 2022 | 133.15 Mn |
| Jun 30, 2022 | 154.61 Mn |
| Mar 31, 2022 | 182.25 Mn |
| Dec 31, 2021 | 193.03 Mn |
Aquabounty Technologies Current 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=current-assets&ticker=AQB&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "current-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=current-assets&ticker=AQB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();