Aquabounty Technologies (AQB) Cost of Revenue (2017 - 2024)
Aquabounty Technologies (AQB) posted Cost of Revenue of $425,057 for Q3 2024, down 89.6% from $4.1 million a year earlier and down 74.1% from the prior quarter.
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Analysis
Aquabounty Technologies (AQB) Cost of Revenue (2017 - 2024) Analysis & Trends
For the trailing twelve months through Sep 30, 2024, Cost of Revenue at Aquabounty Technologies was $10.38 million, down 31.0% year-over-year; for FY2023, it was $15.28 million, up 12.1% from FY2022.
- Annual Cost of Revenue has increased for six consecutive years, with a five-year compound annual growth rate of 42.2% (FY2018 to FY2023).
- In prior years, Aquabounty Technologies' Cost of Revenue was $13.63 million in FY2022 (+26.4%), $10.79 million in FY2021 (+61.5%), $6.68 million in FY2020 (+86.9%) and $3.57 million in FY2019 (+36.1%).
- The Q3 2024 figure stands as the lowest quarterly Cost of Revenue since Q3 2018.
- On a year-over-year basis, Cost of Revenue increased in six of the last eight quarters, with an average decline of 6.9%.
- The strongest year-over-year quarter for Cost of Revenue in the past five years was Q4 2020, with growth of 272.4%; the weakest was Q3 2024, with a decline of 89.6%.
- According to Business Quant data, Cost of Revenue for the three prior quarters was $1.64 million (Q2 2024), $4.48 million (Q1 2024) and $3.84 million (Q4 2023).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | Archer-Daniels-Midland | 38.78 Bn | 35.07 Bn | 1.94 Bn | 20.75 Bn |
| 2 | Bunge Global | 20.50 Bn | 18.00 Bn | 1.68 Bn | 22.36 Bn |
| 3 | Tyson Foods | 18.25 Bn | 14.61 Bn | 921.00 Mn | 12.95 Bn |
| 4 | Jbs | 12.94 Bn | -20.17 Bn | 2.59 Bn | 21.31 Bn |
| 5 | Darling Ingredients | 9.93 Bn | 9.53 Bn | 503.37 Mn | 1.22 Bn |
| 6 | Smithfield Foods | 7.43 Bn | 2.38 Bn | 478.00 Mn | 3.22 Bn |
| 7 | Pilgrims Pride | 6.55 Bn | 4.38 Bn | 339.75 Mn | 4.29 Bn |
| 8 | Ingredion | 6.02 Bn | 2.19 Bn | 426.00 Mn | 1.42 Bn |
| 9 | Seaboard | 3.87 Bn | -946.73 Mn | 221.00 Mn | 2.70 Bn |
| 10 | Aquabounty Technologies | 4.79 Mn | 993,170.76 | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2024 | 425,057.00 |
| Jun 30, 2024 | 1.64 Mn |
| Mar 31, 2024 | 4.48 Mn |
| Dec 31, 2023 | 3.84 Mn |
| Sep 30, 2023 | 4.10 Mn |
| Jun 30, 2023 | 3.79 Mn |
| Mar 31, 2023 | 3.56 Mn |
| Dec 31, 2022 | 3.59 Mn |
| Sep 30, 2022 | 3.52 Mn |
| Jun 30, 2022 | 3.25 Mn |
| Mar 31, 2022 | 3.28 Mn |
| Dec 31, 2021 | 3.07 Mn |
| Sep 30, 2021 | 4.31 Mn |
| Jun 30, 2021 | 1.85 Mn |
| Mar 31, 2021 | 1.55 Mn |
| Dec 31, 2020 | 3.44 Mn |
| Sep 30, 2020 | 1.36 Mn |
| Jun 30, 2020 | 1.04 Mn |
| Mar 31, 2020 | 841,434.00 |
| Dec 31, 2019 | 924,184.00 |
API Access
Aquabounty Technologies Cost of Revenue 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=cost-of-revenue&ticker=AQB&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cost-of-revenue", "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=cost-of-revenue&ticker=AQB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();