Aquabounty Technologies (AQB) Enterprise Value (2017 - 2026)
Aquabounty Technologies (AQB) posted Enterprise Value of $3.61 million for Q2 2026, up 68.6% from $2.14 million a year earlier but down 10.6% from the prior quarter.
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Analysis
Aquabounty Technologies (AQB) Enterprise Value (2017 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Enterprise Value at Aquabounty Technologies was $1.71 million; for FY2025, it was $3.1 million, up 40.8% from FY2024.
- Annual Enterprise Value shows a five-year compound annual growth rate of -57.4% (FY2020 to FY2025).
- In prior years, Aquabounty Technologies' Enterprise Value was $2.21 million in FY2024 (+25.3%), $1.76 million in FY2023, -$48.31 million in FY2022 and -$42.07 million in FY2021.
- Quarterly Enterprise Value has run from a low of -$72.47 million in Q3 2022 to a high of $90.76 million in Q3 2021 over five years.
- On a year-over-year basis, Enterprise Value has increased in each of the last four quarters, with growth averaging 108.9% over the last eight quarters.
- The strongest year-over-year quarter for Enterprise Value in the past five years was Q3 2024, with growth of 579.4%; the weakest was Q1 2025, with a decline of 74.9%.
- According to Business Quant data, Enterprise Value for the three prior quarters was $4.04 million (Q1 2026), $3.1 million (Q4 2025) and $7.73 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Archer-Daniels-Midland | 38.28 Bn | 34.57 Bn | 1.94 Bn |
| 2 | Bunge Global | 20.79 Bn | 18.30 Bn | 1.68 Bn |
| 3 | Tyson Foods | 17.93 Bn | 14.29 Bn | 921.00 Mn |
| 4 | Jbs | 12.60 Bn | -20.51 Bn | 2.59 Bn |
| 5 | Darling Ingredients | 9.52 Bn | 9.12 Bn | 503.37 Mn |
| 6 | Smithfield Foods | 7.49 Bn | 2.44 Bn | 478.00 Mn |
| 7 | Pilgrims Pride | 6.49 Bn | 4.32 Bn | 339.75 Mn |
| 8 | Ingredion | 6.09 Bn | 2.26 Bn | 426.00 Mn |
| 9 | Seaboard | 3.89 Bn | -931.52 Mn | 221.00 Mn |
| 10 | Aquabounty Technologies | 4.89 Mn | 1.10 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 3.61 Mn |
| Mar 31, 2026 | 4.04 Mn |
| Dec 31, 2025 | 3.10 Mn |
| Sep 30, 2025 | 7.73 Mn |
| Jun 30, 2025 | 2.14 Mn |
| Mar 31, 2025 | 1.30 Mn |
| Dec 31, 2024 | 2.21 Mn |
| Sep 30, 2024 | 4.22 Mn |
| Jun 30, 2024 | 5.50 Mn |
| Mar 31, 2024 | 5.20 Mn |
| Dec 31, 2023 | 1.76 Mn |
| Sep 30, 2023 | 620,500.97 |
| Jun 30, 2023 | -18.51 Mn |
| Mar 31, 2023 | -31.33 Mn |
| Dec 31, 2022 | -48.31 Mn |
| Sep 30, 2022 | -72.47 Mn |
| Jun 30, 2022 | -27.64 Mn |
| Mar 31, 2022 | -46.90 Mn |
| Dec 31, 2021 | -42.07 Mn |
| Sep 30, 2021 | 90.76 Mn |
API Access
Aquabounty Technologies Enterprise Value 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=enterprise-value&ticker=AQB&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "enterprise-value", "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=enterprise-value&ticker=AQB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();