Td Synnex (SNX) Restructuring Costs (2021 - 2026)
Td Synnex's (SNX) quarterly Restructuring Costs came in at $2.1 million in Q2 2026, up 218.67% on a YoY basis from $664000.0 in Q2 2025, and up 139.37% quarter-over-quarter from $884000.0 in Q1 2026.
Td Synnex (SNX) Restructuring Costs (2021 - 2026) Analysis & Trends
Td Synnex (SNX) has reported Restructuring Costs for 6 consecutive years, with $2.1 million the latest figure, recorded in Q2 2026.
- For the quarter ending Q2 2026, Restructuring Costs rose 218.67% year-over-year to $2.1 million; the trailing twelve-month figure through May 2026 stood at $8.5 million (up 141.13% YoY), and the FY2025 full-year result was $7.2 million, down 89.93% from the prior year.
- Restructuring Costs grew to $2.1 million in Q2 2026 per SNX's latest filing, from $884000.0 in the prior quarter.
- Across five years, Restructuring Costs topped out at $93.4 million in Q1 2022 and bottomed at $656000.0 in Q3 2024.
- Historically, Restructuring Costs has averaged $28.3 million across 5 years, with a median of $32.1 million in 2022.
- The sharpest annual moves came in 2022 and 2024: Restructuring Costs jumped 1023.11% in 2022, then slumped 99.08% in 2024.
- Over 5 years, Restructuring Costs stood at $50.1 million in 2022, then declined by 6.82% to $46.6 million in 2023, then plunged by 97.59% to $1.1 million in 2024, then soared by 180.25% to $3.2 million in 2025, then slumped by 32.83% to $2.1 million in 2026.
- According to Business Quant data, Restructuring Costs over the past three periods registered $2.1 million, $884000.0, and $3.2 million for Q2 2026, Q1 2026, and Q4 2025 respectively.
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 |
|---|---|
| May 31, 2026 | 2.12 Mn |
| Feb 28, 2026 | 884,000.00 |
| Nov 30, 2025 | 3.15 Mn |
| Aug 31, 2025 | 2.30 Mn |
| May 31, 2025 | 664,000.00 |
| Feb 28, 2025 | 1.06 Mn |
| Nov 30, 2024 | 1.12 Mn |
| Aug 31, 2024 | 656,000.00 |
| May 31, 2024 | 37.89 Mn |
| Feb 29, 2024 | 31.65 Mn |
| Nov 30, 2023 | 46.64 Mn |
| Aug 31, 2023 | 71.59 Mn |
| May 31, 2023 | 36.83 Mn |
| Feb 28, 2023 | 51.18 Mn |
| Nov 30, 2022 | 50.05 Mn |
| Aug 31, 2022 | 46.42 Mn |
| May 31, 2022 | 32.48 Mn |
| Feb 28, 2022 | 93.37 Mn |
| Nov 30, 2021 | 102.08 Mn |
| Aug 31, 2021 | 4.13 Mn |
Td Synnex 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=SNX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "restructuring-costs", "ticker": "SNX", "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=SNX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();