Avnet (AVT) Land & Improvements (2014 - 2026)
Avnet's (AVT) quarterly Land & Improvements came in at $30.9 million in Q2 2026, down 3.05% year-over-year from $31.9 million in Q2 2025, and down 3.05% quarter-over-quarter from $31.9 million in Q2 2025.
Avnet (AVT) Land & Improvements (2014 - 2026) Analysis & Trends
Avnet (AVT) has reported Land & Improvements for 13 consecutive years, with $30.9 million the latest figure, recorded in Q2 2026.
- On a quarterly basis, Land & Improvements fell 3.05% year-over-year to $30.9 million in Q2 2026; TTM through Jun 2026 was $30.9 million, a 3.05% decrease from a year earlier, with the FY2026 full-year figure at $30.9 million, down 3.05% from the prior year.
- Land & Improvements was $30.9 million for Q2 2026 at Avnet, down from $31.9 million in the prior quarter.
- Over five years, Land & Improvements peaked at $31.9 million in Q2 2025 and troughed at $21.4 million in Q3 2022.
- A 5-year average of $27.1 million and a median of $29.4 million in 2024 frame the typical range for Land & Improvements.
- Across the five-year window, Land & Improvements fell 6.01% in 2022 and soared 33.26% in 2024, its largest moves.
- Over 5 years, Land & Improvements stood at $21.4 million in 2022, then rose by 2.93% to $22.0 million in 2023, then jumped by 33.26% to $29.4 million in 2024, then grew by 8.63% to $31.9 million in 2025, then slipped by 3.05% to $30.9 million in 2026.
- The last three Land & Improvements figures came in at $30.9 million (Q2 2026), $31.9 million (Q2 2025), and $29.4 million (Q2 2024), per Business Quant data.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Land & Improvements (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 | 5.69 Mn |
| 8 | Avnet | 8.30 Bn | 8.15 Bn | 865.03 Mn | 30.93 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 |
|---|---|
| Jun 27, 2026 | 30.93 Mn |
| Jun 28, 2025 | 31.90 Mn |
| Jun 29, 2024 | 29.37 Mn |
| Jul 1, 2023 | 22.04 Mn |
| Jul 2, 2022 | 21.41 Mn |
| Jul 3, 2021 | 22.78 Mn |
| Jun 27, 2020 | 23.62 Mn |
| Jun 29, 2019 | 23.87 Mn |
| Jun 30, 2018 | 41.98 Mn |
| Jul 1, 2017 | 41.63 Mn |
| Jul 2, 2016 | 37.49 Mn |
| Jun 27, 2015 | 40.03 Mn |
| Jun 28, 2014 | 31.73 Mn |
Avnet Land & Improvements 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=land-and-improvements&ticker=AVT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "land-and-improvements", "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=land-and-improvements&ticker=AVT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();