Arrow Electronics (ARW) Other Operating Expenses (2009 - 2026)
Arrow Electronics' Other Operating Expenses was $35.6 million in Q2 2026, up 1.2% from $35.16 million a year earlier but down 1.3% from the prior quarter.
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Analysis
Arrow Electronics (ARW) Other Operating Expenses (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Arrow Electronics' Other Operating Expenses was $138.43 million through Jul 4, 2026, down 4.1% year-over-year; for FY2025, it was $137.75 million, down 15.5% from FY2024.
- Other Operating Expenses has now declined for four consecutive years, with a five-year compound annual growth rate of -6.1% (FY2020 to FY2025).
- In earlier years, Other Operating Expenses was $162.99 million in FY2024 (-10.0%), $181.12 million in FY2023 (-3.3%), $187.38 million in FY2022 (-4.0%) and $195.12 million in FY2021 (+3.2%).
- Quarterly Other Operating Expenses has moved between $1.42 million (Q1 2023) and $48.31 million (Q1 2022) over five years.
- Compared with a year earlier, Other Operating Expenses was higher in three of the last eight quarters, with an average decline of 5.8%.
- The best year-over-year quarter for Other Operating Expenses over five years was Q4 2021 (growth of 17.0%); the worst was Q1 2023 (a decline of 97.1%).
- Per Business Quant data, ARW's Other Operating Expenses in the three quarters before Q2 2026 was $36.05 million (Q1 2026), $33.99 million (Q4 2025) and $32.79 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Infosys | 52.40 Bn | 38.90 Bn | 1.60 Bn |
| 2 | Cognizant Technology Solutions | 32.46 Bn | 25.62 Bn | 1.83 Bn |
| 3 | Wipro | 22.47 Bn | 17.61 Bn | 745.00 Mn |
| 4 | Cdw | 20.15 Bn | 18.14 Bn | 1.32 Bn |
| 5 | Td Synnex | 19.94 Bn | 14.10 Bn | 1.43 Bn |
| 6 | Cgi | 17.74 Bn | 15.53 Bn | - |
| 7 | Arrow Electronics | 11.21 Bn | 10.16 Bn | 1.13 Bn |
| 8 | Avnet | 7.65 Bn | 6.83 Bn | 865.03 Mn |
| 9 | EPAM Systems | 7.01 Bn | 2.65 Bn | 429.57 Mn |
| 10 | Ingram Micro Holding | 6.40 Bn | 2.00 Bn | 958.68 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 4, 2026 | 35.60 Mn |
| Apr 4, 2026 | 36.05 Mn |
| Dec 31, 2025 | 33.99 Mn |
| Sep 27, 2025 | 32.79 Mn |
| Jun 28, 2025 | 35.16 Mn |
| Mar 29, 2025 | 35.81 Mn |
| Dec 31, 2024 | 39.64 Mn |
| Sep 28, 2024 | 33.73 Mn |
| Jun 29, 2024 | 40.07 Mn |
| Mar 30, 2024 | 47.22 Mn |
| Dec 31, 2023 | 43.17 Mn |
| Sep 30, 2023 | 29.83 Mn |
| Jul 1, 2023 | 3.13 Mn |
| Apr 1, 2023 | 1.42 Mn |
| Dec 31, 2022 | 45.60 Mn |
| Oct 1, 2022 | 46.23 Mn |
| Jul 2, 2022 | 47.25 Mn |
| Apr 2, 2022 | 48.31 Mn |
| Dec 31, 2021 | 48.20 Mn |
| Oct 2, 2021 | 48.05 Mn |
API Access
Arrow Electronics Other 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=other-operating-expenses&ticker=ARW&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-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=other-operating-expenses&ticker=ARW&period=max&api_key=YOUR_API_KEY");
const data = await res.json();