Aquabounty Technologies (AQB) Depreciation and Depletion (2016 - 2024)
Aquabounty Technologies (AQB) recorded Depreciation and Depletion of $142,000 in Q3 2024, down 71.6% from $500,000 a year earlier and down 0.7% from the prior quarter.
Aquabounty Technologies (AQB) Depreciation and Depletion (2016 - 2024) Analysis & Trends
For FY2023, Aquabounty Technologies reported Depreciation and Depletion of $2.1 million, up 5.0% from FY2022.
- Annual Depreciation and Depletion has increased for eight straight years, with a five-year compound annual growth rate of 20.4% (FY2018 to FY2023).
- Across earlier years, Depreciation and Depletion came in at $2 million in FY2022 (+11.1%), $1.8 million in FY2021 (+20.0%), $1.5 million in FY2020 (+15.4%) and $1.3 million in FY2019 (+56.6%).
- The Q3 2024 figure is the lowest quarterly Depreciation and Depletion since Q2 2023.
- On a year-over-year basis, Depreciation and Depletion rose in 1 of the last five quarters, with an average decline of 32.6%.
- Per Business Quant, the preceding three quarters came in at $143,000 (Q2 2024), $572,000 (Q1 2024) and $500,000 (Q4 2023).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Depletion (Qtr) |
|---|---|---|---|---|---|
| 1 | Archer-Daniels-Midland | 38.78 Bn | 35.07 Bn | 1.94 Bn | 233.00 Mn |
| 2 | Bunge Global | 20.50 Bn | 18.00 Bn | 1.68 Bn | - |
| 3 | Tyson Foods | 18.25 Bn | 14.61 Bn | 921.00 Mn | 273.00 Mn |
| 4 | Jbs | 12.94 Bn | -20.17 Bn | 2.59 Bn | - |
| 5 | Darling Ingredients | 9.93 Bn | 9.53 Bn | 503.37 Mn | - |
| 6 | Smithfield Foods | 7.43 Bn | 2.38 Bn | 478.00 Mn | - |
| 7 | Pilgrims Pride | 6.55 Bn | 4.38 Bn | 339.75 Mn | 115.40 Mn |
| 8 | Ingredion | 6.02 Bn | 2.19 Bn | 426.00 Mn | - |
| 9 | Seaboard | 3.87 Bn | -946.73 Mn | 221.00 Mn | - |
| 10 | Aquabounty Technologies | 4.79 Mn | 993,170.76 | - | - |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2024 | 142,000.00 |
| Jun 30, 2024 | 143,000.00 |
| Mar 31, 2024 | 572,000.00 |
| Dec 31, 2023 | 500,000.00 |
| Sep 30, 2023 | 500,000.00 |
| Jun 30, 2023 | -523.90 Mn |
| Mar 31, 2023 | 525.00 Mn |
| Dec 31, 2022 | 500,000.00 |
| Sep 30, 2022 | -973.50 Mn |
| Jun 30, 2022 | 491.00 Mn |
| Mar 31, 2022 | 484.00 Mn |
| Dec 31, 2021 | 500,000.00 |
| Sep 30, 2021 | 455,000.00 |
| Jun 30, 2021 | 429,000.00 |
| Mar 31, 2021 | 416,000.00 |
| Dec 31, 2020 | 400,000.00 |
| Sep 30, 2020 | 405,000.00 |
| Dec 31, 2018 | 255,560.00 |
| Sep 30, 2018 | 307,646.00 |
| Jun 30, 2018 | 202,770.00 |
Aquabounty Technologies Depreciation and Depletion 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=depreciation-and-depletion&ticker=AQB&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-depletion", "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=depreciation-and-depletion&ticker=AQB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();