Td Synnex (SNX) Price to Book (2010 - 2026)
Td Synnex's (SNX) quarterly Price to Book came in at 2.33 in Q2 2026, up 94.6% on a YoY basis from 1.2 in Q2 2025, and up 62.62% quarter-over-quarter from 1.44 in Q1 2026.
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Analysis
Td Synnex (SNX) Price to Book (2010 - 2026) Analysis & Trends
Td Synnex (SNX) has reported Price to Book for 17 consecutive years, with 2.33 the latest figure, recorded in Q2 2026.
- For the quarter ending Q2 2026, Price to Book rose 94.6% year-over-year to 2.33; the trailing twelve-month figure through May 2026 stood at 2.33 (up 94.6% YoY), and the FY2025 full-year result was 1.46, up 16.21% from the prior year.
- Price to Book rose to 2.33 in Q2 2026 per SNX's latest filing, from 1.44 in the prior quarter.
- Across five years, Price to Book topped out at 2.33 in Q2 2026 and bottomed at 1.01 in Q2 2023.
- Historically, Price to Book has averaged 1.31 across 5 years, with a median of 1.23 in 2022.
- The sharpest annual moves came in 2022 and 2026: Price to Book sank 57.52% in 2022, then soared 94.6% in 2026.
- Over 5 years, Price to Book stood at 1.22 in 2022, then retreated by 11.64% to 1.07 in 2023, then advanced by 16.72% to 1.25 in 2024, then increased by 16.21% to 1.46 in 2025, then jumped by 60.24% to 2.33 in 2026.
- According to Business Quant data, Price to Book over the past three periods registered 2.33, 1.44, and 1.46 for Q2 2026, Q1 2026, and Q4 2025 respectively.
Peer Set
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
Download Data
Historic Data
| Date | Value |
|---|---|
| May 31, 2026 | 2.33 |
| Feb 28, 2026 | 1.44 |
| Nov 30, 2025 | 1.46 |
| Aug 31, 2025 | 1.43 |
| May 31, 2025 | 1.20 |
| Feb 28, 2025 | 1.43 |
| Nov 30, 2024 | 1.25 |
| Aug 31, 2024 | 1.27 |
| May 31, 2024 | 1.41 |
| Feb 29, 2024 | 1.12 |
| Nov 30, 2023 | 1.07 |
| Aug 31, 2023 | 1.12 |
| May 31, 2023 | 1.01 |
| Feb 28, 2023 | 1.12 |
| Nov 30, 2022 | 1.22 |
| Aug 31, 2022 | 1.18 |
| May 31, 2022 | 1.25 |
| Feb 28, 2022 | 1.22 |
| Nov 30, 2021 | 0.81 |
| Aug 31, 2021 | 2.79 |
API Access
Td Synnex Price to Book 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=price-to-book&ticker=SNX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-book", "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=price-to-book&ticker=SNX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();