Aquabounty Technologies (AQB) Return on Equity [ROE] (2017 - 2026)
Aquabounty Technologies (AQB) posted Return on Equity [ROE] of 103207.18% for Q2 2026, up 103798.94 percentage points from -591.76% a year earlier.
Powered by 
Analysis
Aquabounty Technologies (AQB) Return on Equity [ROE] (2017 - 2026) Analysis & Trends
For FY2025, Aquabounty Technologies' Return on Equity [ROE] came in at 5329.68%, up 5494.66 percentage points from FY2024.
- Annual Return on Equity [ROE] shows a five-year change of +5353.34 percentage points (FY2020 to FY2025).
- In prior years, Aquabounty Technologies' Return on Equity [ROE] was -164.98% in FY2024 (-149.54 pp), -15.44% in FY2023 (-4.29 pp), -11.15% in FY2022 (+2.51 pp) and -13.65% in FY2021 (+10.01 pp).
- The Q2 2026 figure stands as the highest quarterly Return on Equity [ROE] in data going back to Q1 2017.
- On a year-over-year basis, Return on Equity [ROE] increased in two of the last seven quarters, with an average year-over-year change of +16585.11 percentage points.
- The strongest year-over-year quarter for Return on Equity [ROE] in the past five years was Q2 2026, with a gain of 103798.94 percentage points; the weakest was Q1 2025, with a drop of 827.33 percentage points.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROE (Qtr) |
|---|---|---|---|---|---|
| 1 | Archer-Daniels-Midland | 38.27 Bn | 34.56 Bn | 1.94 Bn | 7.67% |
| 2 | Bunge Global | 20.55 Bn | 18.06 Bn | 1.68 Bn | 6.05% |
| 3 | Tyson Foods | 17.78 Bn | 14.14 Bn | 921.00 Mn | 3.29% |
| 4 | Jbs | 12.53 Bn | -20.58 Bn | 2.59 Bn | 14.17% |
| 5 | Darling Ingredients | 9.59 Bn | 9.18 Bn | 503.37 Mn | 10.96% |
| 6 | Smithfield Foods | 7.37 Bn | 2.32 Bn | 478.00 Mn | 15.45% |
| 7 | Pilgrims Pride | 6.43 Bn | 4.26 Bn | 339.75 Mn | 14.55% |
| 8 | Ingredion | 6.05 Bn | 2.22 Bn | 426.00 Mn | 13.42% |
| 9 | Seaboard | 3.78 Bn | -1.04 Bn | 221.00 Mn | 11.76% |
| 10 | Aquabounty Technologies | 4.79 Mn | 993,170.76 | - | 103,207.18% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 103,207.18% |
| Dec 31, 2025 | 14,329.05% |
| Sep 30, 2025 | -684.37% |
| Jun 30, 2025 | -591.76% |
| Mar 31, 2025 | -838.95% |
| Dec 31, 2024 | -257.42% |
| Sep 30, 2024 | -58.78% |
| Jun 30, 2024 | -48.62% |
| Mar 31, 2024 | -11.61% |
| Dec 31, 2023 | -8.22% |
| Sep 30, 2023 | -14.40% |
| Jun 30, 2023 | -13.62% |
| Mar 31, 2023 | -12.71% |
| Dec 31, 2022 | -11.61% |
| Sep 30, 2022 | -11.24% |
| Jun 30, 2022 | -11.56% |
| Mar 31, 2022 | -11.10% |
| Dec 31, 2021 | -10.35% |
| Sep 30, 2021 | -10.05% |
| Jun 30, 2021 | -8.37% |
API Access
Aquabounty Technologies Return on Equity [ROE] 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-equity-%5Broe%5D&ticker=AQB&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-equity-[roe]", "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-equity-%5Broe%5D&ticker=AQB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();