Td Synnex (SNX) Total Non-Current Liabilities (2010 - 2026)
Td Synnex's Total Non-Current Liabilities came in at $32.02 billion for fiscal Q3 2026 (quarter ended Aug 31, 2026), up 40.6% from $22.77 billion a year earlier and up 10.1% from the prior quarter.
Td Synnex (SNX) Total Non-Current Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025 (ended Nov 30, 2025), Td Synnex's Total Non-Current Liabilities was $25.35 billion, up 16.5% from FY2024.
- Total Non-Current Liabilities carries a five-year compound annual growth rate of 23.0% (FY2020 to FY2025).
- Going back by fiscal year, Total Non-Current Liabilities was $21.77 billion in FY2024 (+5.0%), $20.73 billion in FY2023 (-2.2%), $21.21 billion in FY2022 (+10.4%) and $19.2 billion in FY2021 (+113.4%).
- The fiscal Q3 2026 figure represents the highest quarterly Total Non-Current Liabilities in data going back to fiscal Q4 2010.
- Year-over-year, Total Non-Current Liabilities has increased for ten consecutive quarters, with growth averaging 19.0% over the last eight quarters.
- The fastest year-over-year change in Total Non-Current Liabilities over five years came in fiscal Q2 2022 (growth of 239.4%), and the weakest in fiscal Q1 2022 (a decline of 20.6%).
- Business Quant data shows SNX's Total Non-Current Liabilities at $29.07 billion (Q2 2026), $25.84 billion (Q1 2026) and $25.35 billion (Q4 2025) in the three fiscal quarters before Q3 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Infosys | 50.24 Bn | 36.74 Bn | 1.60 Bn | 1.10 Bn |
| 2 | Cognizant Technology Solutions | 31.12 Bn | 24.28 Bn | 1.83 Bn | 5.59 Bn |
| 3 | Wipro | 20.11 Bn | 14.81 Bn | 738.00 Mn | 1.39 Bn |
| 4 | Td Synnex | 19.66 Bn | 13.82 Bn | 1.43 Bn | 32.02 Bn |
| 5 | Cdw | 19.39 Bn | 17.38 Bn | 1.32 Bn | 6.52 Bn |
| 6 | Cgi | 16.87 Bn | 14.67 Bn | - | 8.45 Mn |
| 7 | Arrow Electronics | 11.10 Bn | 10.05 Bn | 1.13 Bn | 30.80 Bn |
| 8 | Avnet | 7.54 Bn | 6.72 Bn | 865.03 Mn | 10.19 Bn |
| 9 | EPAM Systems | 6.64 Bn | 2.28 Bn | 429.57 Mn | 991.88 Mn |
| 10 | Ingram Micro Holding | 6.19 Bn | 1.79 Bn | 958.68 Mn | 17.06 Bn |
Historic Data
| Date | Value |
|---|---|
| Aug 31, 2026 | 32.02 Bn |
| May 31, 2026 | 29.07 Bn |
| Feb 28, 2026 | 25.84 Bn |
| Nov 30, 2025 | 25.35 Bn |
| Aug 31, 2025 | 22.77 Bn |
| May 31, 2025 | 21.68 Bn |
| Feb 28, 2025 | 20.28 Bn |
| Nov 30, 2024 | 21.77 Bn |
| Aug 31, 2024 | 20.59 Bn |
| May 31, 2024 | 19.30 Bn |
| Feb 29, 2024 | 19.20 Bn |
| Nov 30, 2023 | 20.73 Bn |
| Aug 31, 2023 | 19.63 Bn |
| May 31, 2023 | 19.17 Bn |
| Feb 28, 2023 | 20.56 Bn |
| Nov 30, 2022 | 21.21 Bn |
| Aug 31, 2022 | 20.82 Bn |
| May 31, 2022 | 19.60 Bn |
| Feb 28, 2022 | 20.19 Bn |
| Nov 30, 2021 | 19.20 Bn |
Td Synnex Total Non-Current Liabilities 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=total-non-current-liabilities&ticker=SNX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "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=total-non-current-liabilities&ticker=SNX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();