Avnet (AVT) Operating Expenses (2009 - 2026)
Avnet (AVT) recorded Operating Expenses of $634.01 million in fiscal Q4 2026 (quarter ended Jun 27, 2026), up 21.9% from $520.23 million a year earlier and up 18.8% from the prior quarter.
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Analysis
Avnet (AVT) Operating Expenses (2009 - 2026) Analysis & Trends
For FY2026 (ended Jun 27, 2026), Avnet reported Operating Expenses of $2.16 billion, up 15.3% from FY2025.
- Annual Operating Expenses has a five-year compound annual growth rate of 1.9% (FY2021 to FY2026).
- Across earlier fiscal years, Operating Expenses came in at $1.87 billion in FY2025 (-2.7%), $1.92 billion in FY2024 (-3.7%), $2 billion in FY2023 (-0.2%) and $2 billion in FY2022 (+2.1%).
- The fiscal Q4 2026 figure is the highest quarterly Operating Expenses in data going back to fiscal Q3 2009.
- On a year-over-year basis, Operating Expenses has increased for five consecutive quarters, with growth averaging 6.3% over the last eight quarters.
- Peak year-over-year performance for Operating Expenses in the last five years was growth of 21.9% in fiscal Q4 2026, against a decline of 7.2% in fiscal Q3 2025 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $533.53 million (Q3 2026), $516.84 million (Q2 2026) and $472.73 million (Q1 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Infosys | 50.24 Bn | 36.74 Bn | 1.60 Bn | 528.00 Mn |
| 2 | Cognizant Technology Solutions | 31.12 Bn | 24.28 Bn | 1.83 Bn | 812.00 Mn |
| 3 | Wipro | 20.11 Bn | 14.81 Bn | 738.00 Mn | 2.23 Bn |
| 4 | Td Synnex | 19.66 Bn | 13.82 Bn | 1.43 Bn | 784.64 Mn |
| 5 | Cdw | 19.39 Bn | 17.38 Bn | 1.32 Bn | 891.20 Mn |
| 6 | Cgi | 16.87 Bn | 14.67 Bn | - | - |
| 7 | Arrow Electronics | 11.10 Bn | 10.05 Bn | 1.13 Bn | 747.88 Mn |
| 8 | Avnet | 7.54 Bn | 6.72 Bn | 865.03 Mn | 634.01 Mn |
| 9 | EPAM Systems | 6.64 Bn | 2.28 Bn | 429.57 Mn | 245.25 Mn |
| 10 | Ingram Micro Holding | 6.19 Bn | 1.79 Bn | 958.68 Mn | 722.71 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 634.01 Mn |
| Mar 28, 2026 | 533.53 Mn |
| Dec 27, 2025 | 516.84 Mn |
| Sep 27, 2025 | 472.73 Mn |
| Jun 28, 2025 | 520.23 Mn |
| Mar 29, 2025 | 444.60 Mn |
| Dec 28, 2024 | 440.73 Mn |
| Sep 28, 2024 | 465.14 Mn |
| Jun 29, 2024 | 478.74 Mn |
| Mar 30, 2024 | 479.12 Mn |
| Dec 30, 2023 | 469.93 Mn |
| Sep 30, 2023 | 494.34 Mn |
| Jul 1, 2023 | 506.32 Mn |
| Apr 1, 2023 | 498.22 Mn |
| Dec 31, 2022 | 485.13 Mn |
| Oct 1, 2022 | 477.64 Mn |
| Jul 2, 2022 | 494.97 Mn |
| Apr 2, 2022 | 512.36 Mn |
| Jan 1, 2022 | 501.36 Mn |
| Oct 2, 2021 | 491.45 Mn |
API Access
Avnet Operating 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=operating-expenses&ticker=AVT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-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=operating-expenses&ticker=AVT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();