Aquabounty Technologies (AQB) Property, Plant & Equipment (Net) (2015 - 2026)
Aquabounty Technologies (AQB) recorded Property, Plant & Equipment (Net) of $9.52 million in Q1 2026, down 58.0% from $22.67 million a year earlier and unchanged from the prior quarter.
Aquabounty Technologies (AQB) Property, Plant & Equipment (Net) (2015 - 2026) Analysis & Trends
Starting with Q4 2015, Aquabounty Technologies' Property, Plant & Equipment (Net) history includes 39 quarters.
- Annual Property, Plant & Equipment (Net) has a five-year compound annual growth rate of -18.8% (FY2020 to FY2025).
- Across earlier years, Property, Plant & Equipment (Net) came in at $22.67 million in FY2024 (-84.3%), $144.1 million in FY2023 (+35.6%), $106.29 million in FY2022 (+214.3%) and $33.82 million in FY2021 (+25.6%).
- Quarterly Property, Plant & Equipment (Net) has ranged from $9.52 million in Q4 2025 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 eight consecutive quarters, with an average decline of 66.2% 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 $9.52 million (Q4 2025), $22.67 million (Q3 2025) and $22.67 million (Q2 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PP&E (Net) (Qtr) |
|---|---|---|---|---|---|
| 1 | Archer-Daniels-Midland | 34.69 Bn | 31.46 Bn | 1.89 Bn | 11.03 Bn |
| 2 | Tyson Foods | 20.70 Bn | 17.06 Bn | 921.00 Mn | 8.79 Bn |
| 3 | Bunge Global | 19.53 Bn | 17.95 Bn | 1.33 Bn | 11.94 Bn |
| 4 | Jbs | 13.49 Bn | -2.10 Bn | 2.41 Bn | 14.61 Bn |
| 5 | Darling Ingredients | 8.67 Bn | 8.25 Bn | 477.54 Mn | 2.83 Bn |
| 6 | Smithfield Foods | 7.56 Bn | 2.38 Bn | 313.00 Mn | 3.23 Bn |
| 7 | Pilgrims Pride | 6.70 Bn | 4.20 Bn | 333.67 Mn | 3.85 Bn |
| 8 | Ingredion | 5.86 Bn | 1.97 Bn | 399.00 Mn | 2.56 Bn |
| 9 | Scotts Miracle-Gro | 3.71 Bn | 3.71 Bn | - | 655.60 Mn |
| 10 | Aquabounty Technologies | 4.69 Mn | -36.65 Mn | - | - |
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 9.52 Mn |
| Dec 31, 2025 | 9.52 Mn |
| 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 |
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();