Avnet (AVT) Depreciation and Depletion (2014 - 2023)
Avnet's Depreciation and Depletion was $20.64 million in fiscal Q1 2024 (quarter ended Sep 30, 2023), up 5.1% from $19.64 million a year earlier but down 9.2% from the prior quarter.
Avnet (AVT) Depreciation and Depletion (2014 - 2023) Analysis & Trends
On a trailing twelve-month basis, Avnet's Depreciation and Depletion was $83.6 million through Sep 30, 2023, down 1.9% year-over-year; for FY2023 (ended Jul 1, 2023), it came in at $82.6 million, down 5.5% from FY2022.
- Depreciation and Depletion has now declined for three consecutive fiscal years, with a five-year compound annual growth rate of -10.4% (FY2018 to FY2023).
- In earlier fiscal years, Depreciation and Depletion was $87.4 million in FY2022 (-3.9%), $90.9 million in FY2021 (-10.1%), $101.1 million in FY2020 (+4.0%) and $97.2 million in FY2019 (-32.2%).
- Quarterly Depreciation and Depletion has moved between $19.64 million (fiscal Q1 2023) and $25.71 million (fiscal Q3 2020) over five years.
- Compared with a year earlier, Depreciation and Depletion was higher in two of the last eight quarters, with an average decline of 4.0%.
- The best year-over-year quarter for Depreciation and Depletion over five years was fiscal Q2 2020 (growth of 10.6%); the worst was fiscal Q2 2019 (a decline of 42.1%).
- Per Business Quant data, AVT's Depreciation and Depletion in the three fiscal quarters before Q1 2024 was $22.73 million (Q4 2023), $20.46 million (Q3 2023) and $19.77 million (Q2 2023).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Depletion (Qtr) |
|---|---|---|---|---|---|
| 1 | Infosys | 53.66 Bn | 40.21 Bn | 1.60 Bn | - |
| 2 | Cognizant Technology Solutions | 33.32 Bn | 26.49 Bn | 1.83 Bn | - |
| 3 | Wipro | 22.86 Bn | 18.03 Bn | 745.00 Mn | - |
| 4 | Cdw | 20.63 Bn | 18.61 Bn | 1.32 Bn | - |
| 5 | Td Synnex | 19.71 Bn | 13.87 Bn | 1.43 Bn | - |
| 6 | Cgi | 18.28 Bn | 16.08 Bn | - | - |
| 7 | Arrow Electronics | 10.66 Bn | 9.69 Bn | 1.13 Bn | - |
| 8 | Avnet | 7.27 Bn | 6.46 Bn | 865.03 Mn | - |
| 9 | EPAM Systems | 7.15 Bn | 2.79 Bn | 429.57 Mn | - |
| 10 | ExlService Holdings | 6.51 Bn | 5.26 Bn | 225.96 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();