Aquabounty Technologies (AQB) Gross Margin (2017 - 2024)
Aquabounty Technologies' Gross Margin was -789.02% in Q3 2024, down 330.31 percentage points from -458.70% a year earlier but up 21.77 percentage points from the prior quarter.
Aquabounty Technologies (AQB) Gross Margin (2017 - 2024) Analysis & Trends
On a trailing twelve-month basis, Aquabounty Technologies' Gross Margin was -724.62% through Sep 30, 2024, down 190.41 percentage points year-over-year; for FY2023, it was -518.02%, down 183.50 percentage points from FY2022.
- Gross Margin shows a five-year change of +2489.42 percentage points (FY2018 to FY2023).
- In earlier years, Gross Margin was -334.53% in FY2022 (+483.57 pp), -818.09% in FY2021 (+4314.44 pp), -5132.54% in FY2020 (-3318.70 pp) and -1813.84% in FY2019 (+1193.61 pp).
- Quarterly Gross Margin has moved between -35198.85% (Q2 2020) and -203.83% (Q2 2022) over five years.
- Compared with a year earlier, Gross Margin has declined for three straight quarters, with an average year-over-year change of -189.10 percentage points over the last eight quarters.
- The best year-over-year quarter for Gross Margin over five years was Q4 2019 (a gain of 36791.32 percentage points); the worst was Q2 2020 (a drop of 33083.73 percentage points).
- Per Business Quant data, AQB's Gross Margin in the three quarters before Q3 2024 was -810.79% (Q2 2024), -837.90% (Q1 2024) and -593.26% (Q4 2023).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Gross Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Archer-Daniels-Midland | 34.69 Bn | 31.46 Bn | 1.89 Bn | 8.44% |
| 2 | Tyson Foods | 20.70 Bn | 17.06 Bn | 921.00 Mn | 6.64% |
| 3 | Bunge Global | 19.53 Bn | 17.95 Bn | 1.33 Bn | 5.60% |
| 4 | Jbs | 13.49 Bn | -2.10 Bn | 2.41 Bn | 10.62% |
| 5 | Darling Ingredients | 8.67 Bn | 8.25 Bn | 477.54 Mn | 26.66% |
| 6 | Smithfield Foods | 7.56 Bn | 2.38 Bn | 313.00 Mn | 9.11% |
| 7 | Pilgrims Pride | 6.70 Bn | 4.20 Bn | 333.67 Mn | 7.17% |
| 8 | Ingredion | 5.86 Bn | 1.97 Bn | 399.00 Mn | 22.27% |
| 9 | Scotts Miracle-Gro | 3.71 Bn | 3.71 Bn | - | - |
| 10 | Aquabounty Technologies | 4.69 Mn | -36.65 Mn | - | - |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2024 | -789.02% |
| Jun 30, 2024 | -810.79% |
| Mar 31, 2024 | -837.90% |
| Dec 31, 2023 | -593.26% |
| Sep 30, 2023 | -458.70% |
| Jun 30, 2023 | -380.81% |
| Mar 31, 2023 | -794.63% |
| Dec 31, 2022 | -695.42% |
| Sep 30, 2022 | -438.43% |
| Jun 30, 2022 | -203.83% |
| Mar 31, 2022 | -240.20% |
| Dec 31, 2021 | -635.70% |
| Sep 30, 2021 | -846.65% |
| Jun 30, 2021 | -712.51% |
| Mar 31, 2021 | -1,990.38% |
| Dec 31, 2020 | -6,755.63% |
| Sep 30, 2020 | -1,901.00% |
| Jun 30, 2020 | -35,198.85% |
| Mar 31, 2020 | -12,360.15% |
| Dec 31, 2019 | -1,893.19% |
Aquabounty Technologies Gross Margin 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=gross-margin&ticker=AQB&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "gross-margin", "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=gross-margin&ticker=AQB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();