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.
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 Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Infosys | 50.81 Bn | 42.20 Bn | - |
| 2 | Cognizant Technology Solutions | 28.52 Bn | 22.49 Bn | 1.91 Bn |
| 3 | Cdw | 20.95 Bn | 17.85 Bn | 1.39 Bn |
| 4 | Td Synnex | 18.62 Bn | 12.78 Bn | 1.43 Bn |
| 5 | Arrow Electronics | 10.10 Bn | 9.05 Bn | 1.13 Bn |
| 6 | EPAM Systems | 7.92 Bn | 3.84 Bn | 445.94 Mn |
| 7 | Avnet | 7.12 Bn | 6.30 Bn | 865.03 Mn |
| 8 | ExlService Holdings | 6.52 Bn | 5.32 Bn | 241.14 Mn |
| 9 | Science Applications International | 6.35 Bn | 5.89 Bn | 239.00 Mn |
| 10 | Ingram Micro Holding | 6.29 Bn | 1.70 Bn | 996.93 Mn |
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 |
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_KEY
import 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();