Arrow Electronics (ARW) Restructuring Costs (2009 - 2026)
Arrow Electronics (ARW) reported Restructuring Costs of $24.14 million for Q2 2026, up 10.1% from $21.92 million a year earlier but down 34.2% from the prior quarter.
Arrow Electronics (ARW) Restructuring Costs (2009 - 2026) Analysis & Trends
Over the twelve months ended Jul 4, 2026, Arrow Electronics' Restructuring Costs came in at $137.69 million, up 45.3% year-over-year; for FY2025, it came in at $116.12 million, down 18.8% from FY2024.
- Restructuring Costs has a five-year compound annual growth rate of 41.4% (FY2020 to FY2025).
- By year, Restructuring Costs came in at $142.92 million in FY2024 (+70.3%), $83.92 million in FY2023 (+510.7%), $13.74 million in FY2022 (-10.7%) and $15.39 million in FY2021 (-25.0%).
- Five-year quarterly Restructuring Costs spans a low of -$3.03 million in Q3 2021 and a high of $46.86 million in Q1 2024.
- Year over year, Restructuring Costs has now increased in each of the last four quarters, with growth averaging 9.4% over the last eight quarters.
- The high point for year-over-year Restructuring Costs in five years was Q3 2023 (growth of 762.7%); the low point was Q4 2021 (a decline of 72.3%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $36.66 million (Q1 2026), $41.24 million (Q4 2025) and $35.65 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Infosys | 50.24 Bn | 36.74 Bn | 1.60 Bn |
| 2 | Cognizant Technology Solutions | 31.12 Bn | 24.28 Bn | 1.83 Bn |
| 3 | Wipro | 20.11 Bn | 14.81 Bn | 738.00 Mn |
| 4 | Td Synnex | 19.66 Bn | 13.82 Bn | 1.43 Bn |
| 5 | Cdw | 19.39 Bn | 17.38 Bn | 1.32 Bn |
| 6 | Cgi | 16.87 Bn | 14.67 Bn | - |
| 7 | Arrow Electronics | 11.10 Bn | 10.05 Bn | 1.13 Bn |
| 8 | Avnet | 7.54 Bn | 6.72 Bn | 865.03 Mn |
| 9 | EPAM Systems | 6.64 Bn | 2.28 Bn | 429.57 Mn |
| 10 | Ingram Micro Holding | 6.19 Bn | 1.79 Bn | 958.68 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();