Aquabounty Technologies (AQB) Property, Plant & Equipment (Net) (2016 - 2025)
Aquabounty Technologies (AQB) recorded Property, Plant & Equipment (Net) of $22.67 million in Q3 2025, down 71.7% from $80.19 million a year earlier and unchanged from the prior quarter.
Aquabounty Technologies (AQB) Property, Plant & Equipment (Net) (2016 - 2025) Analysis & Trends
Starting with Q4 2016, Aquabounty Technologies' Property, Plant & Equipment (Net) history includes 36 quarters.
- Annual Property, Plant & Equipment (Net) has a five-year compound annual growth rate of -2.0% (FY2019 to FY2024).
- Across earlier years, Property, Plant & Equipment (Net) came in at $144.1 million in FY2023 (+35.6%), $106.29 million in FY2022 (+214.3%), $33.82 million in FY2021 (+25.6%) and $26.93 million in FY2020 (+7.4%).
- Quarterly Property, Plant & Equipment (Net) has ranged from $22.67 million in Q4 2024 to $170.34 million in Q1 2024 over the past five years.
- On a year-over-year basis, Property, Plant & Equipment (Net) has declined for six consecutive quarters, with an average decline of 43.0% over the last eight quarters.
- Peak year-over-year performance for Property, Plant & Equipment (Net) in the last five years was growth of 236.7% in Q1 2023, against a decline of 86.7% in Q1 2025 at the low end.
- Per Business Quant, the preceding three quarters came in at $22.67 million (Q2 2025), $22.67 million (Q1 2025) and $22.67 million (Q4 2024).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PP&E (Net) (Qtr) |
|---|---|---|---|---|---|
| 1 | Archer-Daniels-Midland | 38.78 Bn | 35.07 Bn | 1.94 Bn | 10.98 Bn |
| 2 | Bunge Global | 20.50 Bn | 18.00 Bn | 1.68 Bn | 11.95 Bn |
| 3 | Tyson Foods | 18.25 Bn | 14.61 Bn | 921.00 Mn | 8.79 Bn |
| 4 | Jbs | 12.94 Bn | -20.17 Bn | 2.59 Bn | 14.42 Bn |
| 5 | Darling Ingredients | 9.93 Bn | 9.53 Bn | 503.37 Mn | 2.83 Bn |
| 6 | Smithfield Foods | 7.43 Bn | 2.38 Bn | 478.00 Mn | 3.21 Bn |
| 7 | Pilgrims Pride | 6.55 Bn | 4.38 Bn | 339.75 Mn | 3.76 Bn |
| 8 | Ingredion | 6.02 Bn | 2.19 Bn | 426.00 Mn | 2.52 Bn |
| 9 | Seaboard | 3.87 Bn | -946.73 Mn | 221.00 Mn | 2.87 Bn |
| 10 | Aquabounty Technologies | 4.79 Mn | 993,170.76 | - | - |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2025 | 22.67 Mn |
| Jun 30, 2025 | 22.67 Mn |
| Mar 31, 2025 | 22.67 Mn |
| Dec 31, 2024 | 22.67 Mn |
| Sep 30, 2024 | 80.19 Mn |
| Jun 30, 2024 | 90.23 Mn |
| Mar 31, 2024 | 170.34 Mn |
| Dec 31, 2023 | 144.10 Mn |
| Sep 30, 2023 | 168.66 Mn |
| Jun 30, 2023 | 160.17 Mn |
| Mar 31, 2023 | 127.36 Mn |
| Dec 31, 2022 | 106.29 Mn |
| Sep 30, 2022 | 88.00 Mn |
| Jun 30, 2022 | 63.98 Mn |
| Mar 31, 2022 | 37.83 Mn |
| Dec 31, 2021 | 33.82 Mn |
| Sep 30, 2021 | 30.01 Mn |
| Jun 30, 2021 | 29.16 Mn |
| Mar 31, 2021 | 27.90 Mn |
| Dec 31, 2020 | 26.93 Mn |
Aquabounty Technologies Property, Plant & Equipment (Net) 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=property-plant-and-equipment-net&ticker=AQB&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-plant-and-equipment-net", "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=property-plant-and-equipment-net&ticker=AQB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();