Aquabounty Technologies (AQB) Return on Sales [ROS] (2017 - 2024)
Aquabounty Technologies (AQB) posted Return on Sales [ROS] of -3380.49% for Q3 2024, down 2552.01 percentage points from -828.48% a year earlier but up 13025.10 percentage points from the prior quarter.
Aquabounty Technologies (AQB) Return on Sales [ROS] (2017 - 2024) Analysis & Trends
For the trailing twelve months through Sep 30, 2024, Return on Sales [ROS] at Aquabounty Technologies was -2254.65%, down 1195.22 percentage points year-over-year; for FY2023, it was -552.91%, up 158.72 percentage points from FY2022.
- Annual Return on Sales [ROS] has increased for three consecutive years, with a five-year change of +11711.69 percentage points (FY2018 to FY2023).
- In prior years, Aquabounty Technologies' Return on Sales [ROS] was -711.63% in FY2022 (+1171.34 pp), -1882.97% in FY2021 (+10844.15 pp), -12727.13% in FY2020 (-5669.83 pp) and -7057.29% in FY2019 (+5207.31 pp).
- Quarterly Return on Sales [ROS] has run from a low of -118813.53% in Q2 2020 to a high of 963.02% in Q4 2023 over five years.
- On a year-over-year basis, Return on Sales [ROS] increased in four of the last eight quarters, with an average year-over-year change of -2000.96 percentage points.
- The strongest year-over-year quarter for Return on Sales [ROS] in the past five years was Q2 2021, with a gain of 116535.79 percentage points; the weakest was Q2 2020, with a drop of 109352.25 percentage points.
- According to Business Quant data, Return on Sales [ROS] for the three prior quarters was -16405.59% (Q2 2024), -529.41% (Q1 2024) and 963.02% (Q4 2023).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Archer-Daniels-Midland | 38.78 Bn | 35.07 Bn | 1.94 Bn | 3.95% |
| 2 | Bunge Global | 20.50 Bn | 18.00 Bn | 1.68 Bn | 4.47% |
| 3 | Tyson Foods | 18.25 Bn | 14.61 Bn | 921.00 Mn | 2.61% |
| 4 | Jbs | 12.94 Bn | -20.17 Bn | 2.59 Bn | 2.50% |
| 5 | Darling Ingredients | 9.93 Bn | 9.53 Bn | 503.37 Mn | 32.20% |
| 6 | Smithfield Foods | 7.43 Bn | 2.38 Bn | 478.00 Mn | 7.84% |
| 7 | Pilgrims Pride | 6.55 Bn | 4.38 Bn | 339.75 Mn | 1.43% |
| 8 | Ingredion | 6.02 Bn | 2.19 Bn | 426.00 Mn | 10.16% |
| 9 | Seaboard | 3.87 Bn | -946.73 Mn | 221.00 Mn | 3.42% |
| 10 | Aquabounty Technologies | 4.79 Mn | 993,170.76 | - | - |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2024 | -3,380.49% |
| Jun 30, 2024 | -16,405.59% |
| Mar 31, 2024 | -529.41% |
| Dec 31, 2023 | 963.02% |
| Sep 30, 2023 | -828.48% |
| Jun 30, 2023 | -817.15% |
| Mar 31, 2023 | -1,629.54% |
| Dec 31, 2022 | -1,355.54% |
| Sep 30, 2022 | -847.31% |
| Jun 30, 2022 | -520.75% |
| Mar 31, 2022 | -530.06% |
| Dec 31, 2021 | -1,446.68% |
| Sep 30, 2021 | -1,496.48% |
| Jun 30, 2021 | -2,277.74% |
| Mar 31, 2021 | -5,492.72% |
| Dec 31, 2020 | -12,029.11% |
| Sep 30, 2020 | -5,332.05% |
| Jun 30, 2020 | -118,813.53% |
| Mar 31, 2020 | -45,778.48% |
| Dec 31, 2019 | -7,340.65% |
Aquabounty Technologies Return on Sales [ROS] 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-sales-%5Bros%5D&ticker=AQB&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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-sales-%5Bros%5D&ticker=AQB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();