Td Synnex (SNX) Total Current Liabilities (2010 - 2026)
Td Synnex (SNX) reported Total Current Liabilities of $27.61 billion for fiscal Q3 2026 (quarter ended Aug 31, 2026), up 46.2% from $18.88 billion a year earlier and up 11.9% from the prior quarter.
Td Synnex (SNX) Total Current Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025 (ended Nov 30, 2025), Td Synnex posted Total Current Liabilities of $20.96 billion, up 21.7% from FY2024.
- Total Current Liabilities has increased for six consecutive fiscal years, with a five-year compound annual growth rate of 30.1% (FY2020 to FY2025).
- By fiscal year, Total Current Liabilities came in at $17.22 billion in FY2024 (+2.9%), $16.74 billion in FY2023 (+1.9%), $16.43 billion in FY2022 (+15.4%) and $14.23 billion in FY2021 (+152.8%).
- The fiscal Q3 2026 figure ranks as the highest quarterly Total Current Liabilities in data going back to fiscal Q4 2010.
- Year over year, Total Current Liabilities has now increased in each of the last ten quarters, with growth averaging 23.6% over the last eight quarters.
- The high point for year-over-year Total Current Liabilities in five years was fiscal Q3 2022 (growth of 297.5%); the low point was fiscal Q1 2024 (a decline of 3.4%).
- Per Business Quant data, the three fiscal quarters before Q3 2026 came in at $24.67 billion (Q2 2026), $21.44 billion (Q1 2026) and $20.96 billion (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Infosys | 51.46 Bn | 37.96 Bn | 1.60 Bn | 5.59 Bn |
| 2 | Cognizant Technology Solutions | 31.68 Bn | 24.85 Bn | 1.83 Bn | 3.46 Bn |
| 3 | Wipro | 20.64 Bn | 15.34 Bn | 738.00 Mn | 4.32 Bn |
| 4 | Td Synnex | 19.84 Bn | 14.00 Bn | 1.43 Bn | 27.61 Bn |
| 5 | Cdw | 19.61 Bn | 17.60 Bn | 1.32 Bn | 8.30 Bn |
| 6 | Cgi | 17.28 Bn | 15.08 Bn | - | 3.77 Bn |
| 7 | Arrow Electronics | 11.09 Bn | 10.04 Bn | 1.13 Bn | 28.74 Bn |
| 8 | Avnet | 7.53 Bn | 6.71 Bn | 865.03 Mn | 7.50 Bn |
| 9 | EPAM Systems | 6.77 Bn | 2.41 Bn | 429.57 Mn | 804.44 Mn |
| 10 | Ingram Micro Holding | 6.22 Bn | 1.83 Bn | 958.68 Mn | 14.16 Bn |
Historic Data
| Date | Value |
|---|---|
| Aug 31, 2026 | 27.61 Bn |
| May 31, 2026 | 24.67 Bn |
| Feb 28, 2026 | 21.44 Bn |
| Nov 30, 2025 | 20.96 Bn |
| Aug 31, 2025 | 18.88 Bn |
| May 31, 2025 | 17.12 Bn |
| Feb 28, 2025 | 15.73 Bn |
| Nov 30, 2024 | 17.22 Bn |
| Aug 31, 2024 | 15.99 Bn |
| May 31, 2024 | 14.70 Bn |
| Feb 29, 2024 | 15.25 Bn |
| Nov 30, 2023 | 16.74 Bn |
| Aug 31, 2023 | 15.53 Bn |
| May 31, 2023 | 14.41 Bn |
| Feb 28, 2023 | 15.79 Bn |
| Nov 30, 2022 | 16.43 Bn |
| Aug 31, 2022 | 15.93 Bn |
| May 31, 2022 | 14.66 Bn |
| Feb 28, 2022 | 15.21 Bn |
| Nov 30, 2021 | 14.23 Bn |
Td Synnex Total 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-current-liabilities&ticker=SNX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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-current-liabilities&ticker=SNX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();