Arrow Electronics (ARW) Operating Expenses (2009 - 2026)
Arrow Electronics' Operating Expenses was $747.88 million in Q2 2026, up 13.6% from $658.07 million a year earlier and up 2.6% from the prior quarter.
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Analysis
Arrow Electronics (ARW) Operating Expenses (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Arrow Electronics' Operating Expenses was $2.85 billion through Jul 4, 2026, up 14.3% year-over-year; for FY2025, it was $2.64 billion, up 4.8% from FY2024.
- Operating Expenses shows a five-year compound annual growth rate of 2.9% (FY2020 to FY2025).
- In earlier years, Operating Expenses was $2.52 billion in FY2024 (-5.8%), $2.68 billion in FY2023 (-3.3%), $2.77 billion in FY2022 (+4.6%) and $2.65 billion in FY2021 (+15.2%).
- The Q2 2026 figure marks the highest quarterly Operating Expenses since Q2 2019.
- Compared with a year earlier, Operating Expenses has increased for five straight quarters, with growth averaging 4.8% over the last eight quarters.
- The best year-over-year quarter for Operating Expenses over five years was Q3 2021 (growth of 21.9%); the worst was Q4 2024 (a decline of 9.6%).
- Per Business Quant data, ARW's Operating Expenses in the three quarters before Q2 2026 was $728.86 million (Q1 2026), $714.68 million (Q4 2025) and $656.31 million (Q3 2025).
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 |
|---|---|
| Jul 4, 2026 | 747.88 Mn |
| Apr 4, 2026 | 728.86 Mn |
| Dec 31, 2025 | 714.68 Mn |
| Sep 27, 2025 | 656.31 Mn |
| Jun 28, 2025 | 658.07 Mn |
| Mar 29, 2025 | 615.44 Mn |
| Dec 31, 2024 | 608.21 Mn |
| Sep 28, 2024 | 609.57 Mn |
| Jun 29, 2024 | 634.17 Mn |
| Mar 30, 2024 | 671.91 Mn |
| Dec 31, 2023 | 672.87 Mn |
| Sep 30, 2023 | 639.51 Mn |
| Jul 1, 2023 | 673.80 Mn |
| Apr 1, 2023 | 691.67 Mn |
| Dec 31, 2022 | 683.40 Mn |
| Oct 1, 2022 | 684.22 Mn |
| Jul 2, 2022 | 703.39 Mn |
| Apr 2, 2022 | 697.13 Mn |
| Dec 31, 2021 | 684.45 Mn |
| Oct 2, 2021 | 670.91 Mn |
API Access
Arrow Electronics 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=ARW&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "ARW", "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=ARW&period=max&api_key=YOUR_API_KEY");
const data = await res.json();