Td Synnex (SNX) Accumulated Expenses (2010 - 2026)
Td Synnex's Accumulated Expenses came in at $3.24 billion for fiscal Q3 2026 (quarter ended Aug 31, 2026), up 59.1% from $2.03 billion a year earlier and up 36.7% from the prior quarter.
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Analysis
Td Synnex (SNX) Accumulated Expenses (2010 - 2026) Analysis & Trends
At the end of FY2025 (ended Nov 30, 2025), Td Synnex's Accumulated Expenses was $2.32 billion, up 17.9% from FY2024.
- Accumulated Expenses carries a five-year compound annual growth rate of 24.7% (FY2020 to FY2025).
- Going back by fiscal year, Accumulated Expenses was $1.97 billion in FY2024 (-18.4%), $2.41 billion in FY2023 (+10.9%), $2.17 billion in FY2022 (+7.7%) and $2.02 billion in FY2021 (+162.6%).
- The fiscal Q3 2026 figure represents the highest quarterly Accumulated Expenses in data going back to fiscal Q4 2010.
- Year-over-year, Accumulated Expenses has increased for seven consecutive quarters, with growth averaging 15.4% over the last eight quarters.
- The fastest year-over-year change in Accumulated Expenses over five years came in fiscal Q1 2022 (growth of 228.4%), and the weakest in fiscal Q4 2024 (a decline of 18.4%).
- Business Quant data shows SNX's Accumulated Expenses at $2.37 billion (Q2 2026), $2.26 billion (Q1 2026) and $2.32 billion (Q4 2025) in the three fiscal quarters before Q3 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Infosys | 51.35 Bn | -77.91 Bn | 1.60 Bn |
| 2 | Cognizant Technology Solutions | 30.16 Bn | 24.12 Bn | 1.91 Bn |
| 3 | Wipro | 22.58 Bn | 17.72 Bn | 745.00 Mn |
| 4 | Cdw | 19.64 Bn | 16.54 Bn | 1.39 Bn |
| 5 | Cgi | 18.54 Bn | 16.34 Bn | - |
| 6 | Td Synnex | 17.34 Bn | 11.50 Bn | 1.43 Bn |
| 7 | Arrow Electronics | 9.29 Bn | 8.24 Bn | 1.13 Bn |
| 8 | EPAM Systems | 8.17 Bn | 4.08 Bn | 445.94 Mn |
| 9 | ExlService Holdings | 6.55 Bn | 5.35 Bn | 241.14 Mn |
| 10 | Avnet | 6.53 Bn | 5.71 Bn | 865.03 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 31, 2026 | 3.24 Bn |
| May 31, 2026 | 2.37 Bn |
| Feb 28, 2026 | 2.26 Bn |
| Nov 30, 2025 | 2.32 Bn |
| Aug 31, 2025 | 2.03 Bn |
| May 31, 2025 | 2.20 Bn |
| Feb 28, 2025 | 2.11 Bn |
| Nov 30, 2024 | 1.97 Bn |
| Aug 31, 2024 | 1.80 Bn |
| May 31, 2024 | 1.71 Bn |
| Feb 29, 2024 | 1.96 Bn |
| Nov 30, 2023 | 2.41 Bn |
| Aug 31, 2023 | 2.11 Bn |
| May 31, 2023 | 1.98 Bn |
| Feb 28, 2023 | 2.22 Bn |
| Nov 30, 2022 | 2.17 Bn |
| Aug 31, 2022 | 1.96 Bn |
| May 31, 2022 | 1.93 Bn |
| Feb 28, 2022 | 1.90 Bn |
| Nov 30, 2021 | 2.02 Bn |
API Access
Td Synnex Accumulated Expenses 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=accumulated-expenses&ticker=SNX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "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=accumulated-expenses&ticker=SNX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();