Insight Enterprises (NSIT) Restructuring Costs (2010 - 2026)
Insight Enterprises (NSIT) recorded Restructuring Costs of $5.8 million in Q2 2026, up 70.2% from $3.41 million a year earlier but down 10.6% from the prior quarter.
Insight Enterprises (NSIT) Restructuring Costs (2010 - 2026) Analysis & Trends
On a TTM basis, Insight Enterprises' Restructuring Costs came in at $38.98 million as of Jun 30, 2026, up 11.6% year-over-year; for FY2025, it came in at $37.13 million, up 17.5% from FY2024.
- Annual Restructuring Costs has increased for three straight years, with a five-year compound annual growth rate of 24.5% (FY2020 to FY2025).
- Across earlier years, Restructuring Costs came in at $31.61 million in FY2024 (+327.3%), $7.4 million in FY2023 (+74.6%), $4.24 million in FY2022 and -$1.63 million in FY2021.
- Quarterly Restructuring Costs has ranged from -$3.77 million in Q2 2023 to $21.31 million in Q4 2025 over the past five years.
- On a year-over-year basis, Restructuring Costs rose in five of the last eight quarters, with growth averaging 98.2%.
- Peak year-over-year performance for Restructuring Costs in the last five years was growth of 496.1% in Q3 2023, against a decline of 69.9% in Q3 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at $6.49 million (Q1 2026), $21.31 million (Q4 2025) and $5.39 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Infosys | 42.66 Bn | 42.72 Bn | 1.60 Bn |
| 2 | Cognizant Technology Solutions | 25.65 Bn | 18.82 Bn | 1.83 Bn |
| 3 | Td Synnex | 20.51 Bn | 14.54 Bn | 1.34 Bn |
| 4 | Cdw | 16.33 Bn | 14.32 Bn | 1.32 Bn |
| 5 | Cgi | 15.07 Bn | 12.85 Bn | - |
| 6 | Arrow Electronics | 11.72 Bn | 10.75 Bn | 1.13 Bn |
| 7 | Avnet | 8.33 Bn | 7.51 Bn | 865.03 Mn |
| 8 | Ingram Micro Holding | 6.23 Bn | 1.84 Bn | 958.68 Mn |
| 9 | EPAM Systems | 5.55 Bn | 1.19 Bn | 429.57 Mn |
| 10 | Insight Enterprises | 4.60 Bn | 2.89 Bn | 521.60 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 5.80 Mn |
| Mar 31, 2026 | 6.49 Mn |
| Dec 31, 2025 | 21.31 Mn |
| Sep 30, 2025 | 5.39 Mn |
| Jun 30, 2025 | 3.41 Mn |
| Mar 31, 2025 | 7.03 Mn |
| Dec 31, 2024 | 15.97 Mn |
| Sep 30, 2024 | 8.54 Mn |
| Jun 30, 2024 | 4.87 Mn |
| Mar 31, 2024 | 2.23 Mn |
| Dec 31, 2023 | 2.95 Mn |
| Sep 30, 2023 | 4.29 Mn |
| Jun 30, 2023 | -3.77 Mn |
| Mar 31, 2023 | 3.80 Mn |
| Dec 31, 2022 | 1.45 Mn |
| Sep 30, 2022 | 720,000.00 |
| Jun 30, 2022 | 1.64 Mn |
| Mar 31, 2022 | 1.37 Mn |
| Dec 31, 2021 | 1.58 Mn |
| Sep 30, 2021 | 2.40 Mn |
Insight Enterprises 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=NSIT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "restructuring-costs", "ticker": "NSIT", "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=NSIT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();