Td Synnex (SNX) Cost of Revenue (2010 - 2026)
Td Synnex (SNX) reported Cost of Revenue of $20.13 billion for fiscal Q3 2026 (quarter ended Aug 31, 2026), up 38.6% from $14.52 billion a year earlier and up 10.4% from the prior quarter.
Td Synnex (SNX) Cost of Revenue (2010 - 2026) Analysis & Trends
Over the twelve months ended Aug 31, 2026, Td Synnex's Cost of Revenue came in at $70.46 billion, up 24.1% year-over-year; for FY2025 (ended Nov 30, 2025), it was $58.14 billion, up 6.7% from FY2024.
- Cost of Revenue has a five-year compound annual growth rate of 25.4% (FY2020 to FY2025).
- By fiscal year, Cost of Revenue came in at $54.47 billion in FY2024 (+1.6%), $53.6 billion in FY2023 (-8.3%), $58.44 billion in FY2022 (+96.6%) and $29.72 billion in FY2021 (+58.3%).
- The fiscal Q3 2026 figure ranks as the highest quarterly Cost of Revenue in data going back to fiscal Q3 2010.
- Year over year, Cost of Revenue has now increased in each of the last nine quarters, with growth averaging 15.6% over the last eight quarters.
- The high point for year-over-year Cost of Revenue in five years was fiscal Q1 2022 (growth of 212.9%); the low point was fiscal Q4 2023 (a decline of 11.8%).
- Per Business Quant data, the three fiscal quarters before Q3 2026 came in at $18.24 billion (Q2 2026), $15.91 billion (Q1 2026) and $16.18 billion (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | Infosys | 50.24 Bn | 36.74 Bn | 1.60 Bn | 3.48 Bn |
| 2 | Cognizant Technology Solutions | 31.12 Bn | 24.28 Bn | 1.83 Bn | 3.65 Bn |
| 3 | Wipro | 20.11 Bn | 14.81 Bn | 738.00 Mn | 1.85 Bn |
| 4 | Td Synnex | 19.66 Bn | 13.82 Bn | 1.43 Bn | 20.13 Bn |
| 5 | Cdw | 19.39 Bn | 17.38 Bn | 1.32 Bn | 5.25 Bn |
| 6 | Cgi | 16.87 Bn | 14.67 Bn | - | - |
| 7 | Arrow Electronics | 11.10 Bn | 10.05 Bn | 1.13 Bn | 8.87 Bn |
| 8 | Avnet | 7.54 Bn | 6.72 Bn | 865.03 Mn | 7.43 Bn |
| 9 | EPAM Systems | 6.64 Bn | 2.28 Bn | 429.57 Mn | 985.20 Mn |
| 10 | Ingram Micro Holding | 6.19 Bn | 1.79 Bn | 958.68 Mn | 13.57 Bn |
Historic Data
| Date | Value |
|---|---|
| Aug 31, 2026 | 20.13 Bn |
| May 31, 2026 | 18.24 Bn |
| Feb 28, 2026 | 15.91 Bn |
| Nov 30, 2025 | 16.18 Bn |
| Aug 31, 2025 | 14.52 Bn |
| May 31, 2025 | 13.90 Bn |
| Feb 28, 2025 | 13.53 Bn |
| Nov 30, 2024 | 14.80 Bn |
| Aug 31, 2024 | 13.72 Bn |
| May 31, 2024 | 12.97 Bn |
| Feb 29, 2024 | 12.97 Bn |
| Nov 30, 2023 | 13.39 Bn |
| Aug 31, 2023 | 12.99 Bn |
| May 31, 2023 | 13.10 Bn |
| Feb 28, 2023 | 14.12 Bn |
| Nov 30, 2022 | 15.19 Bn |
| Aug 31, 2022 | 14.44 Bn |
| May 31, 2022 | 14.31 Bn |
| Feb 28, 2022 | 14.50 Bn |
| Nov 30, 2021 | 14.67 Bn |
Td Synnex Cost of Revenue 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=cost-of-revenue&ticker=SNX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cost-of-revenue", "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=cost-of-revenue&ticker=SNX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();