Avnet (AVT) Accumulated Expenses (2009 - 2026)
Avnet's (AVT) quarterly Accumulated Expenses came in at $659.3 million in Q2 2026, up 32.61% year-over-year from $497.2 million in Q2 2025, and up 27.6% quarter-over-quarter from $516.7 million in Q1 2026.
Avnet (AVT) Accumulated Expenses (2009 - 2026) Analysis & Trends
Avnet (AVT) has reported Accumulated Expenses for 18 consecutive years, with $659.3 million the latest figure, recorded in Q2 2026.
- On a quarterly basis, Accumulated Expenses rose 32.61% year-over-year to $659.3 million in Q2 2026; TTM through Jun 2026 was $659.3 million, a 32.61% increase from a year earlier, with the FY2026 full-year figure at $659.3 million, up 32.61% from the prior year.
- Accumulated Expenses was $659.3 million for Q2 2026 at Avnet, up from $516.7 million in the prior quarter.
- Over five years, Accumulated Expenses peaked at $753.1 million in Q3 2023 and troughed at $440.9 million in Q3 2025.
- A 5-year average of $595.8 million and a median of $588.6 million in 2022 frame the typical range for Accumulated Expenses.
- Across the five-year window, Accumulated Expenses declined 25.8% in 2024 and surged 32.61% in 2026, its largest moves.
- Over 5 years, Accumulated Expenses stood at $688.6 million in 2022, then grew by 2.48% to $705.7 million in 2023, then slipped by 25.8% to $523.6 million in 2024, then slipped by 9.43% to $474.2 million in 2025, then soared by 39.02% to $659.3 million in 2026.
- The last three Accumulated Expenses figures came in at $659.3 million (Q2 2026), $516.7 million (Q1 2026), and $474.2 million (Q4 2025), per Business Quant data.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (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 |
|---|---|
| Jun 27, 2026 | 659.27 Mn |
| Mar 28, 2026 | 516.68 Mn |
| Dec 27, 2025 | 474.23 Mn |
| Sep 27, 2025 | 440.91 Mn |
| Jun 28, 2025 | 497.15 Mn |
| Mar 29, 2025 | 495.27 Mn |
| Dec 28, 2024 | 523.63 Mn |
| Sep 28, 2024 | 580.26 Mn |
| Jun 29, 2024 | 573.06 Mn |
| Mar 30, 2024 | 565.05 Mn |
| Dec 30, 2023 | 705.75 Mn |
| Sep 30, 2023 | 722.41 Mn |
| Jul 1, 2023 | 753.13 Mn |
| Apr 1, 2023 | 704.68 Mn |
| Dec 31, 2022 | 688.64 Mn |
| Oct 1, 2022 | 624.96 Mn |
| Jul 2, 2022 | 591.02 Mn |
| Apr 2, 2022 | 616.08 Mn |
| Jan 1, 2022 | 588.58 Mn |
| Oct 2, 2021 | 588.34 Mn |
Avnet Accumulated Expenses 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=accumulated-expenses&ticker=AVT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "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=accumulated-expenses&ticker=AVT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();