Avnet (AVT) Depreciation and Depletion (2014 - 2023)
Avnet's (AVT) quarterly Depreciation and Depletion came in at $20.6 million in Q3 2023, up 5.09% year-over-year from $19.6 million in Q3 2022, and down 9.2% quarter-over-quarter from $22.7 million in Q3 2023.
Avnet (AVT) Depreciation and Depletion (2014 - 2023) Analysis & Trends
Avnet (AVT) has reported Depreciation and Depletion for 10 consecutive years, with $20.6 million the latest figure, recorded in Q3 2023.
- On a quarterly basis, Depreciation and Depletion rose 5.09% year-over-year to $20.6 million in Q3 2023; TTM through Sep 2023 was $83.6 million, a 1.89% decrease from a year earlier, with the FY2023 full-year figure at $82.6 million, down 5.49% from the prior year.
- Depreciation and Depletion was $20.6 million for Q3 2023 at Avnet, down from $22.7 million in the prior quarter.
- Over five years, Depreciation and Depletion peaked at $25.7 million in Q1 2020 and troughed at $19.6 million in Q4 2022.
- A 5-year average of $22.7 million and a median of $22.2 million in 2021 frame the typical range for Depreciation and Depletion.
- The widest YoY moves for Depreciation and Depletion: up 10.64% in 2019, down 32.88% in 2019.
- Over 5 years, Depreciation and Depletion stood at $25.2 million in 2019, then fell by 13.15% to $21.8 million in 2020, then declined by 0.05% to $21.8 million in 2021, then retreated by 9.44% to $19.8 million in 2022, then gained by 4.39% to $20.6 million in 2023.
- The last three Depreciation and Depletion figures came in at $20.6 million (Q3 2023), $22.7 million (Q3 2023), and $20.5 million (Q2 2023), per Business Quant data.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Depletion (Qtr) |
|---|---|---|---|---|---|
| 1 | Investview | 47.95 Bn | 47.95 Bn | -199,485.00 | - |
| 2 | Infosys | 43.60 Bn | 43.65 Bn | 1.60 Bn | - |
| 3 | Cognizant Technology Solutions | 26.73 Bn | 25.68 Bn | 1.83 Bn | - |
| 4 | Td Synnex | 23.02 Bn | 21.93 Bn | 1.34 Bn | - |
| 5 | Cdw | 18.31 Bn | 17.95 Bn | 1.32 Bn | - |
| 6 | Cgi | 13.55 Bn | 12.97 Bn | - | - |
| 7 | Arrow Electronics | 11.54 Bn | 11.37 Bn | 1.13 Bn | - |
| 8 | Avnet | 8.30 Bn | 8.15 Bn | 865.03 Mn | - |
| 9 | Ingram Micro Holding | 6.43 Bn | 5.62 Bn | 958.68 Mn | - |
| 10 | EPAM Systems | 5.68 Bn | 4.89 Bn | 429.57 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2023 | 20.64 Mn |
| Jul 1, 2023 | 22.73 Mn |
| Apr 1, 2023 | 20.46 Mn |
| Dec 31, 2022 | 19.77 Mn |
| Oct 1, 2022 | 19.64 Mn |
| Jul 2, 2022 | 21.68 Mn |
| Apr 2, 2022 | 21.84 Mn |
| Jan 1, 2022 | 22.04 Mn |
| Oct 2, 2021 | 21.83 Mn |
| Jul 3, 2021 | 23.44 Mn |
| Apr 3, 2021 | 23.46 Mn |
| Jan 2, 2021 | 22.16 Mn |
| Oct 3, 2020 | 21.85 Mn |
| Jun 27, 2020 | 25.57 Mn |
| Mar 28, 2020 | 25.71 Mn |
| Dec 28, 2019 | 25.15 Mn |
| Sep 28, 2019 | 24.67 Mn |
| Jun 29, 2019 | 24.51 Mn |
| Mar 30, 2019 | 24.57 Mn |
| Dec 29, 2018 | 22.74 Mn |
Avnet 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=AVT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-depletion", "ticker": "AVT", "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=AVT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();