Aquabounty Technologies (AQB) Return on Capital Employed [ROCE] (2017 - 2026)
Aquabounty Technologies' Return on Capital Employed [ROCE] was -10.75% in Q2 2026, down 144.61 percentage points from 133.86% a year earlier but up 64.36 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 -75.11% (Q1 2026) and 150.11% (Q3 2025) over five years.
- Compared with a year earlier, Return on Capital Employed [ROCE] has declined for three straight quarters, with an average year-over-year change of +11.79 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 175.85 percentage points); the worst was Q2 2026 (a drop of 144.61 percentage points).
- Per Business Quant data, AQB's Return on Capital Employed [ROCE] in the three quarters before Q2 2026 was -75.11% (Q1 2026), -21.46% (Q4 2025) and 150.11% (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROCE (Qtr) |
|---|---|---|---|---|---|
| 1 | Archer-Daniels-Midland | 38.78 Bn | 35.07 Bn | 1.94 Bn | 4.53% |
| 2 | Bunge Global | 20.50 Bn | 18.00 Bn | 1.68 Bn | 6.80% |
| 3 | Tyson Foods | 18.25 Bn | 14.61 Bn | 921.00 Mn | 4.37% |
| 4 | Jbs | 12.94 Bn | -20.17 Bn | 2.59 Bn | 9.59% |
| 5 | Darling Ingredients | 9.93 Bn | 9.53 Bn | 503.37 Mn | 9.59% |
| 6 | Smithfield Foods | 7.43 Bn | 2.38 Bn | 478.00 Mn | 13.26% |
| 7 | Pilgrims Pride | 6.55 Bn | 4.38 Bn | 339.75 Mn | 12.55% |
| 8 | Ingredion | 6.02 Bn | 2.19 Bn | 426.00 Mn | 12.76% |
| 9 | Seaboard | 3.87 Bn | -946.73 Mn | 221.00 Mn | 5.02% |
| 10 | Aquabounty Technologies | 4.79 Mn | 993,170.76 | - | -10.75% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -10.75% |
| Mar 31, 2026 | -75.11% |
| Dec 31, 2025 | -21.46% |
| Sep 30, 2025 | 150.11% |
| 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% |
| Sep 30, 2021 | -9.53% |
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();