Td Synnex (SNX) EV to EBITDA (2010 - 2026)
Td Synnex's (SNX) quarterly EV to EBITDA came in at 38.12 in Q2 2026, up 35.38% on a YoY basis from 28.16 in Q2 2025, and up 68.91% quarter-over-quarter from 22.57 in Q1 2026.
Td Synnex (SNX) EV to EBITDA (2010 - 2026) Analysis & Trends
Td Synnex (SNX) has reported EV to EBITDA for 17 consecutive years, with 38.12 the latest figure, recorded in Q2 2026.
- For the quarter ending Q2 2026, EV to EBITDA rose 35.38% year-over-year to 38.12; the trailing twelve-month figure through May 2026 stood at 11.05 (up 50.77% YoY), and the FY2025 full-year result was 6.98, down 7.54% from the prior year.
- EV to EBITDA advanced to 38.12 in Q2 2026 per SNX's latest filing, from 22.57 in the prior quarter.
- Across five years, EV to EBITDA topped out at 41.7 in Q1 2022 and bottomed at 22.57 in Q1 2026.
- Historically, EV to EBITDA has averaged 31.4 across 5 years, with a median of 29.46 in 2023.
- The sharpest annual moves came in 2022 and 2026: EV to EBITDA jumped 120.3% in 2022, then tumbled 37.52% in 2026.
- Over 5 years, EV to EBITDA stood at 27.62 in 2022, then retreated by 2.11% to 27.04 in 2023, then grew by 2.62% to 27.75 in 2024, then decreased by 10.74% to 24.77 in 2025, then soared by 53.9% to 38.12 in 2026.
- According to Business Quant data, EV to EBITDA over the past three periods registered 38.12, 22.57, and 24.77 for Q2 2026, Q1 2026, and Q4 2025 respectively.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Investview | 47.95 Bn | 47.95 Bn | -199,485.00 |
| 2 | Infosys | 43.60 Bn | 43.65 Bn | 1.60 Bn |
| 3 | Cognizant Technology Solutions | 26.73 Bn | 25.68 Bn | 1.83 Bn |
| 4 | Td Synnex | 23.02 Bn | 21.93 Bn | 1.34 Bn |
| 5 | Cdw | 18.31 Bn | 17.95 Bn | 1.32 Bn |
| 6 | Cgi | 13.55 Bn | 12.97 Bn | - |
| 7 | Arrow Electronics | 11.54 Bn | 11.37 Bn | 1.13 Bn |
| 8 | Avnet | 8.30 Bn | 8.15 Bn | 865.03 Mn |
| 9 | Ingram Micro Holding | 6.43 Bn | 5.62 Bn | 958.68 Mn |
| 10 | EPAM Systems | 5.68 Bn | 4.89 Bn | 429.57 Mn |
Historic Data
| Date | Value |
|---|---|
| May 31, 2026 | 38.12 |
| Feb 28, 2026 | 22.57 |
| Nov 30, 2025 | 24.77 |
| Aug 31, 2025 | 29.15 |
| May 31, 2025 | 28.16 |
| Feb 28, 2025 | 36.12 |
| Nov 30, 2024 | 27.75 |
| Aug 31, 2024 | 31.29 |
| May 31, 2024 | 37.92 |
| Feb 29, 2024 | 26.69 |
| Nov 30, 2023 | 27.04 |
| Aug 31, 2023 | 33.91 |
| May 31, 2023 | 29.77 |
| Feb 28, 2023 | 28.74 |
| Nov 30, 2022 | 27.62 |
| Aug 31, 2022 | 36.64 |
| May 31, 2022 | 37.32 |
| Feb 28, 2022 | 41.70 |
| Nov 30, 2021 | 29.37 |
| Aug 31, 2021 | 16.63 |
Td Synnex EV to 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=ev-to-ebitda&ticker=SNX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-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=ev-to-ebitda&ticker=SNX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();