Aquabounty Technologies (AQB) Return on Assets [ROA] (2017 - 2026)
Aquabounty Technologies (AQB) posted Return on Assets [ROA] of 3220.20% for Q2 2026, up 3542.90 percentage points from -322.69% a year earlier but down 196.59 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 1674.30%, up 1808.94 percentage points from FY2024.
- Annual Return on Assets [ROA] shows a five-year change of +1695.32 percentage points (FY2020 to FY2025).
- In prior years, Aquabounty Technologies' Return on Assets [ROA] was -134.64% in FY2024 (-120.91 pp), -13.73% in FY2023 (-3.50 pp), -10.23% in FY2022 (+2.44 pp) and -12.67% in FY2021 (+8.36 pp).
- Quarterly Return on Assets [ROA] has run from a low of -433.52% in Q1 2025 to a high of 4296.25% in Q4 2025 over five years.
- On a year-over-year basis, Return on Assets [ROA] has increased in each of the last three quarters, with an average year-over-year change of +1332.05 percentage points over the last eight quarters.
- The strongest year-over-year quarter for Return on Assets [ROA] in the past five years was Q4 2025, with a gain of 4492.75 percentage points; the weakest was Q1 2025, with a drop of 423.34 percentage points.
- According to Business Quant data, Return on Assets [ROA] for the three prior quarters was 3416.79% (Q1 2026), 4296.25% (Q4 2025) and -348.13% (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROA (Qtr) |
|---|---|---|---|---|---|
| 1 | Archer-Daniels-Midland | 38.33 Bn | 34.62 Bn | 1.94 Bn | 3.26% |
| 2 | Bunge Global | 20.48 Bn | 17.99 Bn | 1.68 Bn | 2.23% |
| 3 | Tyson Foods | 17.76 Bn | 14.11 Bn | 921.00 Mn | 1.69% |
| 4 | Jbs | 12.04 Bn | -21.06 Bn | 2.59 Bn | 2.69% |
| 5 | Darling Ingredients | 9.73 Bn | 9.33 Bn | 503.37 Mn | 5.19% |
| 6 | Smithfield Foods | 7.32 Bn | 2.27 Bn | 478.00 Mn | 8.92% |
| 7 | Pilgrims Pride | 6.00 Bn | 3.83 Bn | 339.75 Mn | 5.39% |
| 8 | Ingredion | 5.99 Bn | 2.16 Bn | 426.00 Mn | 7.49% |
| 9 | Seaboard | 3.79 Bn | -1.03 Bn | 221.00 Mn | 7.47% |
| 10 | Aquabounty Technologies | 4.79 Mn | 993,170.76 | - | 3,220.20% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 3,220.20% |
| Mar 31, 2026 | 3,416.79% |
| Dec 31, 2025 | 4,296.25% |
| Sep 30, 2025 | -348.13% |
| Jun 30, 2025 | -322.69% |
| Mar 31, 2025 | -433.52% |
| Dec 31, 2024 | -196.50% |
| Sep 30, 2024 | -48.76% |
| Jun 30, 2024 | -41.18% |
| Mar 31, 2024 | -10.18% |
| Dec 31, 2023 | -7.32% |
| Sep 30, 2023 | -12.60% |
| Jun 30, 2023 | -11.93% |
| Mar 31, 2023 | -11.42% |
| Dec 31, 2022 | -10.36% |
| Sep 30, 2022 | -10.19% |
| Jun 30, 2022 | -10.79% |
| Mar 31, 2022 | -10.42% |
| Dec 31, 2021 | -9.76% |
| Sep 30, 2021 | -9.55% |
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();