Td Synnex (SNX) Accumulated Expenses (2010 - 2026)
Td Synnex's (SNX) quarterly Accumulated Expenses came in at $2.4 billion in Q2 2026, up 7.77% on a YoY basis from $2.2 billion in Q2 2025, and up 4.92% quarter-over-quarter from $2.3 billion in Q1 2026.
Td Synnex (SNX) Accumulated Expenses (2010 - 2026) Analysis & Trends
Td Synnex (SNX) has reported Accumulated Expenses for 17 consecutive years, with $2.4 billion the latest figure, recorded in Q2 2026.
- For the quarter ending Q2 2026, Accumulated Expenses rose 7.77% year-over-year to $2.4 billion; the trailing twelve-month figure through May 2026 stood at $2.4 billion (up 7.77% YoY), and the FY2025 full-year result was $2.3 billion, up 17.92% from the prior year.
- Accumulated Expenses rose to $2.4 billion in Q2 2026 per SNX's latest filing, from $2.3 billion in the prior quarter.
- Across five years, Accumulated Expenses topped out at $2.4 billion in Q4 2023 and bottomed at $1.7 billion in Q2 2024.
- Historically, Accumulated Expenses has averaged $2.1 billion across 5 years, with a median of $2.1 billion in 2025.
- The sharpest annual moves came in 2022 and 2024: Accumulated Expenses surged 228.37% in 2022, then retreated 18.35% in 2024.
- Over 5 years, Accumulated Expenses stood at $2.2 billion in 2022, then climbed by 10.88% to $2.4 billion in 2023, then slipped by 18.35% to $2.0 billion in 2024, then gained by 17.92% to $2.3 billion in 2025, then advanced by 2.15% to $2.4 billion in 2026.
- According to Business Quant data, Accumulated Expenses over the past three periods registered $2.4 billion, $2.3 billion, and $2.3 billion 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 | 2.37 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 |
| Aug 31, 2021 | 647.86 Mn |
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_KEY
import 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();