Td Synnex (SNX) Restructuring Costs (2021 - 2026)
Td Synnex's Restructuring Costs came in at $2.1 million for fiscal Q3 2026 (quarter ended Aug 31, 2026), down 8.8% from $2.3 million a year earlier and down 0.7% from the prior quarter.
Powered by 
Analysis
Td Synnex (SNX) Restructuring Costs (2021 - 2026) Analysis & Trends
Over the trailing twelve months to Aug 31, 2026, Td Synnex reported Restructuring Costs of $8.25 million, up 60.1% year-over-year; for FY2025 (ended Nov 30, 2025), it came in at $7.18 million, down 89.9% from FY2024.
- Restructuring Costs has declined in each of the last three fiscal years, with a five-year compound annual growth rate of -0.6% (FY2020 to FY2025).
- Going back by fiscal year, Restructuring Costs was $71.31 million in FY2024 (-65.4%), $206.24 million in FY2023 (-7.2%), $222.32 million in FY2022 (+98.2%) and $112.15 million in FY2021.
- The five-year range for quarterly Restructuring Costs is $656,000 (fiscal Q3 2024) to $102.08 million (fiscal Q4 2021).
- Year-over-year, Restructuring Costs increased in three of the last eight quarters, with growth averaging 41.5%.
- The fastest year-over-year change in Restructuring Costs over five years came in fiscal Q2 2022 (growth of 447.2%), and the weakest in fiscal Q3 2024 (a decline of 99.1%).
- Business Quant data shows SNX's Restructuring Costs at $2.12 million (Q2 2026), $884,000 (Q1 2026) and $3.15 million (Q4 2025) in the three fiscal quarters before Q3 2026.
Peer Set
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
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 31, 2026 | 2.10 Mn |
| 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 |
API Access
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_KEYimport 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();