Aquabounty Technologies (AQB) Return on Capital Employed [ROCE] (2017 - 2026)
Aquabounty Technologies' Return on Capital Employed [ROCE] was -45.50% in Q3 2026, down 201.12 percentage points from 155.62% a year earlier and down 8.11 percentage points from the prior quarter.
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Analysis
Aquabounty Technologies (AQB) Return on Capital Employed [ROCE] (2017 - 2026) Analysis & Trends
For FY2025, Return on Capital Employed [ROCE] at Aquabounty Technologies came in at -29.87%, down 19.69 percentage points from FY2024.
- Return on Capital Employed [ROCE] shows a five-year change of -8.47 percentage points (FY2020 to FY2025).
- In earlier years, Return on Capital Employed [ROCE] was -10.18% in FY2024 (-2.82 pp), -7.35% in FY2023 (+3.50 pp), -10.85% in FY2022 (+2.07 pp) and -12.92% in FY2021 (+8.48 pp).
- Quarterly Return on Capital Employed [ROCE] has moved between -203.52% (Q1 2026) and 155.62% (Q3 2025) over five years.
- Compared with a year earlier, Return on Capital Employed [ROCE] has declined for four straight quarters, with an average year-over-year change of -33.69 percentage points over the last eight quarters.
- The best year-over-year quarter for Return on Capital Employed [ROCE] over five years was Q3 2025 (a gain of 181.37 percentage points); the worst was Q3 2026 (a drop of 201.12 percentage points).
- Per Business Quant data, AQB's Return on Capital Employed [ROCE] in the three quarters before Q3 2026 was -37.38% (Q2 2026), -203.52% (Q1 2026) and -47.22% (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROCE (Qtr) |
|---|---|---|---|---|---|
| 1 | Archer-Daniels-Midland | 34.69 Bn | 31.46 Bn | 1.89 Bn | 6.91% |
| 2 | Tyson Foods | 20.70 Bn | 17.06 Bn | 921.00 Mn | 4.37% |
| 3 | Bunge Global | 19.53 Bn | 17.95 Bn | 1.33 Bn | 8.38% |
| 4 | Jbs | 13.49 Bn | -2.10 Bn | 2.41 Bn | 7.39% |
| 5 | Darling Ingredients | 8.67 Bn | 8.25 Bn | 477.54 Mn | 12.49% |
| 6 | Smithfield Foods | 7.56 Bn | 2.38 Bn | 313.00 Mn | 11.56% |
| 7 | Pilgrims Pride | 6.70 Bn | 4.20 Bn | 333.67 Mn | 8.22% |
| 8 | Ingredion | 5.86 Bn | 1.97 Bn | 399.00 Mn | 12.84% |
| 9 | Scotts Miracle-Gro | 3.71 Bn | 3.71 Bn | - | - |
| 10 | Aquabounty Technologies | 4.69 Mn | -36.65 Mn | - | -45.50% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | -45.50% |
| Jun 30, 2026 | -37.38% |
| Mar 31, 2026 | -203.52% |
| Dec 31, 2025 | -47.22% |
| Sep 30, 2025 | 155.62% |
| Jun 30, 2025 | 133.86% |
| Mar 31, 2025 | -42.83% |
| Dec 31, 2024 | -16.12% |
| Sep 30, 2024 | -25.74% |
| Jun 30, 2024 | -24.67% |
| Mar 31, 2024 | -5.89% |
| Dec 31, 2023 | -7.80% |
| Sep 30, 2023 | -13.22% |
| Jun 30, 2023 | -13.35% |
| Mar 31, 2023 | -12.08% |
| Dec 31, 2022 | -11.01% |
| Sep 30, 2022 | -10.89% |
| Jun 30, 2022 | -11.07% |
| Mar 31, 2022 | -10.48% |
| Dec 31, 2021 | -9.88% |
API Access
Aquabounty Technologies Return on Capital Employed [ROCE] 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-capital-employed-%5Broce%5D&ticker=AQB&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-capital-employed-[roce]", "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-capital-employed-%5Broce%5D&ticker=AQB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();