Aquabounty Technologies (AQB) Selling, General & Administrative (2016 - 2026)
Aquabounty Technologies (AQB) posted Selling, General & Administrative of $799,258 for Q2 2026, down 33.2% from $1.2 million a year earlier but up 28.6% from the prior quarter.
Aquabounty Technologies (AQB) Selling, General & Administrative (2016 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Selling, General & Administrative at Aquabounty Technologies was $2.1 million, down 64.2% year-over-year; for FY2025, it was $4.01 million, down 55.6% from FY2024.
- Annual Selling, General & Administrative shows a five-year compound annual growth rate of -10.0% (FY2020 to FY2025).
- In prior years, Aquabounty Technologies' Selling, General & Administrative was $9.04 million in FY2024 (-27.8%), $12.52 million in FY2023 (+27.9%), $9.79 million in FY2022 (+7.5%) and $9.1 million in FY2021 (+33.9%).
- Quarterly Selling, General & Administrative has run from a low of -$729,465 in Q4 2025 to a high of $4.11 million in Q4 2023 over five years.
- The strongest year-over-year quarter for Selling, General & Administrative in the past five years was Q4 2023, with growth of 77.8%; the weakest was Q2 2025, with a decline of 61.9%.
- According to Business Quant data, Selling, General & Administrative for the three prior quarters was $621,566 (Q1 2026), -$729,465 (Q4 2025) and $1.41 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Archer-Daniels-Midland | 38.78 Bn | 35.07 Bn | 1.94 Bn | 1.03 Bn |
| 2 | Bunge Global | 20.50 Bn | 18.00 Bn | 1.68 Bn | 606.00 Mn |
| 3 | Tyson Foods | 18.25 Bn | 14.61 Bn | 921.00 Mn | 559.00 Mn |
| 4 | Jbs | 12.94 Bn | -20.17 Bn | 2.59 Bn | 588.13 Mn |
| 5 | Darling Ingredients | 9.93 Bn | 9.53 Bn | 503.37 Mn | 150.95 Mn |
| 6 | Smithfield Foods | 7.43 Bn | 2.38 Bn | 478.00 Mn | 191.00 Mn |
| 7 | Pilgrims Pride | 6.55 Bn | 4.38 Bn | 339.75 Mn | 265.10 Mn |
| 8 | Ingredion | 6.02 Bn | 2.19 Bn | 426.00 Mn | - |
| 9 | Seaboard | 3.87 Bn | -946.73 Mn | 221.00 Mn | 121.00 Mn |
| 10 | Aquabounty Technologies | 4.79 Mn | 993,170.76 | - | 799,258.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 799,258.00 |
| Mar 31, 2026 | 621,566.00 |
| Dec 31, 2025 | -729,465.00 |
| Sep 30, 2025 | 1.41 Mn |
| Jun 30, 2025 | 1.20 Mn |
| Mar 31, 2025 | 1.16 Mn |
| Dec 31, 2024 | 2.01 Mn |
| Sep 30, 2024 | 1.50 Mn |
| Jun 30, 2024 | 3.14 Mn |
| Mar 31, 2024 | 2.39 Mn |
| Dec 31, 2023 | 4.11 Mn |
| Sep 30, 2023 | 2.33 Mn |
| Jun 30, 2023 | 3.07 Mn |
| Mar 31, 2023 | 3.00 Mn |
| Dec 31, 2022 | 2.31 Mn |
| Sep 30, 2022 | 2.26 Mn |
| Jun 30, 2022 | 2.83 Mn |
| Mar 31, 2022 | 2.38 Mn |
| Dec 31, 2021 | 2.56 Mn |
| Sep 30, 2021 | 2.18 Mn |
Aquabounty Technologies Selling, General & Administrative 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=selling-general-and-administrative&ticker=AQB&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=AQB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();