Arrow Electronics (ARW) Restructuring Costs (2009 - 2026)
Arrow Electronics' (ARW) quarterly Restructuring Costs came in at $24.1 million in Q3 2026, up 10.13% year-over-year from $21.9 million in Q3 2025, and down 34.16% quarter-over-quarter from $36.7 million in Q2 2026.
Arrow Electronics (ARW) Restructuring Costs (2009 - 2026) Analysis & Trends
Arrow Electronics has disclosed Restructuring Costs across 18 years of filings, most recently posting $24.1 million for Q3 2026.
- In Q3 2026, Restructuring Costs rose 10.13% year-over-year to $24.1 million; the TTM figure through Jul 2026 stood at $137.7 million (up 45.31% YoY), while the FY2025 annual figure was $116.1 million, down 18.75% from the prior year.
- Restructuring Costs came in at $24.1 million for Q3 2026 at Arrow Electronics, down from $36.7 million in the prior quarter.
- In the past five years, Restructuring Costs ranged from a high of $46.9 million in Q1 2024 to a low of $2.5 million in Q3 2022.
- Average Restructuring Costs over 5 years is $23.2 million, with a median of $23.0 million recorded in 2025.
- Year-over-year, Restructuring Costs sank 72.1% in 2022 and jumped 1730.31% in 2024.
- Over 5 years, Restructuring Costs stood at $2.7 million in 2022, then surged by 1361.46% to $39.7 million in 2023, then tumbled by 46.91% to $21.1 million in 2024, then jumped by 95.84% to $41.2 million in 2025, then slumped by 41.47% to $24.1 million in 2026.
- Per Business Quant data, the three most recent Restructuring Costs figures were $24.1 million in Q3 2026, $36.7 million in Q2 2026, and $41.2 million in Q4 2025.
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 |
|---|---|
| Jul 4, 2026 | 24.14 Mn |
| Apr 4, 2026 | 36.66 Mn |
| Dec 31, 2025 | 41.24 Mn |
| Sep 27, 2025 | 35.65 Mn |
| Jun 28, 2025 | 21.92 Mn |
| Mar 29, 2025 | 17.31 Mn |
| Dec 31, 2024 | 21.06 Mn |
| Sep 28, 2024 | 34.47 Mn |
| Jun 29, 2024 | 40.54 Mn |
| Mar 30, 2024 | 46.86 Mn |
| Dec 31, 2023 | 39.66 Mn |
| Sep 30, 2023 | 31.36 Mn |
| Jul 1, 2023 | 10.33 Mn |
| Apr 1, 2023 | 2.56 Mn |
| Dec 31, 2022 | 2.71 Mn |
| Oct 1, 2022 | 3.64 Mn |
| Jul 2, 2022 | 2.50 Mn |
| Apr 2, 2022 | 4.90 Mn |
| Dec 31, 2021 | 3.75 Mn |
| Oct 2, 2021 | -3.03 Mn |
Arrow Electronics Restructuring Costs 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=restructuring-costs&ticker=ARW&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "restructuring-costs", "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=restructuring-costs&ticker=ARW&period=max&api_key=YOUR_API_KEY");
const data = await res.json();