Aquabounty Technologies (AQB) Return on Assets [ROA] (2017 - 2026)
Aquabounty Technologies (AQB) posted Return on Assets [ROA] of -170.66% for Q3 2026, up 175.45 percentage points from -346.11% a year earlier but down 3.53 percentage points from the prior quarter.
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Analysis
Aquabounty Technologies (AQB) Return on Assets [ROA] (2017 - 2026) Analysis & Trends
For FY2025, Aquabounty Technologies' Return on Assets [ROA] came in at -80.18%, up 54.72 percentage points from FY2024.
- Annual Return on Assets [ROA] shows a five-year change of -59.28 percentage points (FY2020 to FY2025).
- In prior years, Aquabounty Technologies' Return on Assets [ROA] was -134.90% in FY2024 (-148.57 pp), 13.68% in FY2023 (+23.81 pp), -10.14% in FY2022 (+2.46 pp) and -12.60% in FY2021 (+8.31 pp).
- Quarterly Return on Assets [ROA] has run from a low of -431.87% in Q1 2025 to a high of 14.44% in Q4 2023 over five years.
- On a year-over-year basis, Return on Assets [ROA] has increased in each of the last four quarters, with an average year-over-year change of -79.21 percentage points over the last eight quarters.
- The strongest year-over-year quarter for Return on Assets [ROA] in the past five years was Q1 2026, with a gain of 236.74 percentage points; the weakest was Q1 2025, with a drop of 444.33 percentage points.
- According to Business Quant data, Return on Assets [ROA] for the three prior quarters was -167.14% (Q2 2026), -195.14% (Q1 2026) and -103.15% (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROA (Qtr) |
|---|---|---|---|---|---|
| 1 | Archer-Daniels-Midland | 34.69 Bn | 31.46 Bn | 1.89 Bn | 4.58% |
| 2 | Tyson Foods | 20.70 Bn | 17.06 Bn | 921.00 Mn | 1.69% |
| 3 | Bunge Global | 19.53 Bn | 17.95 Bn | 1.33 Bn | 2.52% |
| 4 | Jbs | 13.49 Bn | -2.10 Bn | 2.41 Bn | 1.66% |
| 5 | Darling Ingredients | 8.67 Bn | 8.25 Bn | 477.54 Mn | 7.88% |
| 6 | Smithfield Foods | 7.56 Bn | 2.38 Bn | 313.00 Mn | 7.53% |
| 7 | Pilgrims Pride | 6.70 Bn | 4.20 Bn | 333.67 Mn | 3.04% |
| 8 | Ingredion | 5.86 Bn | 1.97 Bn | 399.00 Mn | 7.03% |
| 9 | Scotts Miracle-Gro | 3.71 Bn | 3.71 Bn | - | 3.52% |
| 10 | Aquabounty Technologies | 4.69 Mn | -36.65 Mn | - | -170.66% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | -170.66% |
| Jun 30, 2026 | -167.14% |
| Mar 31, 2026 | -195.14% |
| Dec 31, 2025 | -103.15% |
| Sep 30, 2025 | -346.11% |
| Jun 30, 2025 | -320.63% |
| Mar 31, 2025 | -431.87% |
| Dec 31, 2024 | -196.88% |
| Sep 30, 2024 | -15.16% |
| Jun 30, 2024 | -14.18% |
| Mar 31, 2024 | 12.46% |
| Dec 31, 2023 | 14.44% |
| Sep 30, 2023 | -12.49% |
| Jun 30, 2023 | -11.81% |
| Mar 31, 2023 | -11.31% |
| Dec 31, 2022 | -10.27% |
| Sep 30, 2022 | -10.16% |
| Jun 30, 2022 | -10.77% |
| Mar 31, 2022 | -10.39% |
| Dec 31, 2021 | -9.70% |
API Access
Aquabounty Technologies Return on Assets [ROA] 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=return-on-assets-%5Broa%5D&ticker=AQB&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-assets-[roa]", "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=return-on-assets-%5Broa%5D&ticker=AQB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();