Td Synnex (SNX) Capital Expenditures (2010 - 2026)
Td Synnex (SNX) recorded Capital Expenditures of $58.88 million in fiscal Q3 2026 (quarter ended Aug 31, 2026), up 82.8% from $32.22 million a year earlier but down 11.9% from the prior quarter.
Td Synnex (SNX) Capital Expenditures (2010 - 2026) Analysis & Trends
On a TTM basis, Td Synnex's Capital Expenditures came in at $197.15 million as of Aug 31, 2026, up 28.8% year-over-year; for FY2025 (ended Nov 30, 2025), it came in at $142.28 million, down 18.7% from FY2024.
- Annual Capital Expenditures has a five-year compound annual growth rate of -6.4% (FY2020 to FY2025).
- Across earlier fiscal years, Capital Expenditures came in at $175.11 million in FY2024 (+16.7%), $150.01 million in FY2023 (+28.2%), $117.05 million in FY2022 (+113.2%) and $54.89 million in FY2021 (-72.3%).
- Quarterly Capital Expenditures has ranged from $21.28 million in fiscal Q2 2022 to $66.82 million in fiscal Q2 2026 over the past five years.
- On a year-over-year basis, Capital Expenditures rose in four of the last eight quarters, with growth averaging 15.8%.
- Peak year-over-year performance for Capital Expenditures in the last five years was growth of 540.8% in fiscal Q3 2022, against a decline of 42.3% in fiscal Q4 2021 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $66.82 million (Q2 2026), $33.15 million (Q1 2026) and $38.29 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Capex (Qtr) |
|---|---|---|---|---|---|
| 1 | Infosys | 50.24 Bn | 36.74 Bn | 1.60 Bn | -81.00 Mn |
| 2 | Cognizant Technology Solutions | 31.12 Bn | 24.28 Bn | 1.83 Bn | 99.00 Mn |
| 3 | Wipro | 20.11 Bn | 14.81 Bn | 738.00 Mn | -35.69 Mn |
| 4 | Td Synnex | 19.66 Bn | 13.82 Bn | 1.43 Bn | 58.88 Mn |
| 5 | Cdw | 19.39 Bn | 17.38 Bn | 1.32 Bn | 27.50 Mn |
| 6 | Cgi | 16.87 Bn | 14.67 Bn | - | -20.01 Mn |
| 7 | Arrow Electronics | 11.10 Bn | 10.05 Bn | 1.13 Bn | 21.14 Mn |
| 8 | Avnet | 7.54 Bn | 6.72 Bn | 865.03 Mn | 16.76 Mn |
| 9 | EPAM Systems | 6.64 Bn | 2.28 Bn | 429.57 Mn | 15.21 Mn |
| 10 | Ingram Micro Holding | 6.19 Bn | 1.79 Bn | 958.68 Mn | 32.92 Mn |
Historic Data
| Date | Value |
|---|---|
| Aug 31, 2026 | 58.88 Mn |
| May 31, 2026 | 66.82 Mn |
| Feb 28, 2026 | 33.15 Mn |
| Nov 30, 2025 | 38.29 Mn |
| Aug 31, 2025 | 32.22 Mn |
| May 31, 2025 | 30.24 Mn |
| Feb 28, 2025 | 41.53 Mn |
| Nov 30, 2024 | 49.06 Mn |
| Aug 31, 2024 | 47.14 Mn |
| May 31, 2024 | 37.82 Mn |
| Feb 29, 2024 | 41.09 Mn |
| Nov 30, 2023 | 42.59 Mn |
| Aug 31, 2023 | 39.81 Mn |
| May 31, 2023 | 30.33 Mn |
| Feb 28, 2023 | 37.28 Mn |
| Nov 30, 2022 | 38.53 Mn |
| Aug 31, 2022 | 32.02 Mn |
| May 31, 2022 | 21.28 Mn |
| Feb 28, 2022 | 25.22 Mn |
| Nov 30, 2021 | 40.78 Mn |
Td Synnex Capital Expenditures 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=capital-expenditures&ticker=SNX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "capital-expenditures", "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=capital-expenditures&ticker=SNX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();