Td Synnex (SNX) EBITDA (2010 - 2026)
Td Synnex (SNX) recorded EBITDA of $749.12 million in fiscal Q3 2026 (quarter ended Aug 31, 2026), up 53.0% from $489.49 million a year earlier and up 19.9% from the prior quarter.
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Analysis
Td Synnex (SNX) EBITDA (2010 - 2026) Analysis & Trends
On a TTM basis, Td Synnex's EBITDA came in at $2.47 billion as of Aug 31, 2026, up 41.0% year-over-year; for FY2025 (ended Nov 30, 2025), it was $1.83 billion, up 14.2% from FY2024.
- Annual EBITDA has a five-year compound annual growth rate of 16.2% (FY2020 to FY2025).
- Across earlier fiscal years, EBITDA came in at $1.6 billion in FY2024 (+7.0%), $1.5 billion in FY2023 (-1.2%), $1.51 billion in FY2022 (+95.4%) and $774.88 million in FY2021 (-10.2%).
- The fiscal Q3 2026 figure is the highest quarterly EBITDA in data going back to fiscal Q4 2010.
- On a year-over-year basis, EBITDA has increased for 11 consecutive quarters, with growth averaging 26.4% over the last eight quarters.
- Peak year-over-year performance for EBITDA in the last five years was growth of 140.2% in fiscal Q1 2022, against a decline of 11.5% in fiscal Q4 2023 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $624.64 million (Q2 2026), $594.04 million (Q1 2026) and $503.74 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Infosys | 50.24 Bn | 36.74 Bn | 1.60 Bn | 13.55 Bn |
| 2 | Cognizant Technology Solutions | 31.12 Bn | 24.28 Bn | 1.83 Bn | 1.02 Bn |
| 3 | Wipro | 20.11 Bn | 14.81 Bn | 738.00 Mn | 498.97 Mn |
| 4 | Td Synnex | 19.66 Bn | 13.82 Bn | 1.43 Bn | 749.12 Mn |
| 5 | Cdw | 19.39 Bn | 17.38 Bn | 1.32 Bn | 503.70 Mn |
| 6 | Cgi | 16.87 Bn | 14.67 Bn | - | 591.24 Mn |
| 7 | Arrow Electronics | 11.10 Bn | 10.05 Bn | 1.13 Bn | 412.93 Mn |
| 8 | Avnet | 7.54 Bn | 6.72 Bn | 865.03 Mn | 268.27 Mn |
| 9 | EPAM Systems | 6.64 Bn | 2.28 Bn | 429.57 Mn | 184.32 Mn |
| 10 | Ingram Micro Holding | 6.19 Bn | 1.79 Bn | 958.68 Mn | 285.25 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 31, 2026 | 749.12 Mn |
| May 31, 2026 | 624.64 Mn |
| Feb 28, 2026 | 594.04 Mn |
| Nov 30, 2025 | 503.74 Mn |
| Aug 31, 2025 | 489.49 Mn |
| May 31, 2025 | 431.73 Mn |
| Feb 28, 2025 | 404.17 Mn |
| Nov 30, 2024 | 427.25 Mn |
| Aug 31, 2024 | 401.07 Mn |
| May 31, 2024 | 370.24 Mn |
| Feb 29, 2024 | 403.19 Mn |
| Nov 30, 2023 | 390.15 Mn |
| Aug 31, 2023 | 345.52 Mn |
| May 31, 2023 | 357.84 Mn |
| Feb 28, 2023 | 402.84 Mn |
| Nov 30, 2022 | 440.88 Mn |
| Aug 31, 2022 | 343.05 Mn |
| May 31, 2022 | 352.36 Mn |
| Feb 28, 2022 | 377.94 Mn |
| Nov 30, 2021 | 290.24 Mn |
API Access
Td Synnex EBITDA 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=ebitda&ticker=SNX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=SNX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();