Td Synnex (SNX) Return on Sales [ROS] (2010 - 2026)
Td Synnex (SNX) reported Return on Sales [ROS] of 2.98% for fiscal Q3 2026 (quarter ended Aug 31, 2026), up 0.53 percentage points from 2.45% a year earlier and up 0.33 percentage points from the prior quarter.
Td Synnex (SNX) Return on Sales [ROS] (2010 - 2026) Analysis & Trends
Over the twelve months ended Aug 31, 2026, Td Synnex's Return on Sales [ROS] came in at 2.71%, up 0.51 percentage points year-over-year; for FY2025 (ended Nov 30, 2025), it was 2.26%, up 0.22 percentage points from FY2024.
- Return on Sales [ROS] has increased for three consecutive fiscal years, though with a five-year change of -0.35 percentage points (FY2020 to FY2025).
- By fiscal year, Return on Sales [ROS] came in at 2.04% in FY2024 (+0.17 pp), 1.87% in FY2023 (+0.19 pp), 1.69% in FY2022 (-0.29 pp) and 1.97% in FY2021 (-0.64 pp).
- The fiscal Q3 2026 figure ranks as the highest quarterly Return on Sales [ROS] since fiscal Q4 2020.
- Year over year, Return on Sales [ROS] has now increased in each of the last six quarters, with an average year-over-year change of +0.33 percentage points over the last eight quarters.
- The high point for year-over-year Return on Sales [ROS] in five years was fiscal Q4 2022 (a gain of 0.87 percentage points); the low point was fiscal Q4 2021 (a drop of 2.09 percentage points).
- Per Business Quant data, the three fiscal quarters before Q3 2026 came in at 2.65% (Q2 2026), 2.85% (Q1 2026) and 2.29% (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Infosys | 49.92 Bn | 42.11 Bn | 1.60 Bn | 20.97% |
| 2 | Cognizant Technology Solutions | 31.88 Bn | 25.05 Bn | 1.83 Bn | 15.95% |
| 3 | Wipro | 22.24 Bn | 17.40 Bn | 745.00 Mn | 16.42% |
| 4 | Cdw | 20.69 Bn | 18.68 Bn | 1.32 Bn | 6.52% |
| 5 | Td Synnex | 19.74 Bn | 13.90 Bn | 1.43 Bn | 2.98% |
| 6 | Cgi | 18.25 Bn | 16.05 Bn | - | 15.85% |
| 7 | Arrow Electronics | 10.68 Bn | 9.70 Bn | 1.13 Bn | 3.78% |
| 8 | Avnet | 7.23 Bn | 6.41 Bn | 865.03 Mn | 2.79% |
| 9 | EPAM Systems | 7.03 Bn | 2.67 Bn | 429.57 Mn | 10.76% |
| 10 | Ingram Micro Holding | 6.51 Bn | 2.12 Bn | 958.68 Mn | 1.62% |
Historic Data
| Date | Value |
|---|---|
| Aug 31, 2026 | 2.98% |
| May 31, 2026 | 2.65% |
| Feb 28, 2026 | 2.85% |
| Nov 30, 2025 | 2.29% |
| Aug 31, 2025 | 2.45% |
| May 31, 2025 | 2.20% |
| Feb 28, 2025 | 2.10% |
| Nov 30, 2024 | 2.05% |
| Aug 31, 2024 | 2.06% |
| May 31, 2024 | 1.89% |
| Feb 29, 2024 | 2.17% |
| Nov 30, 2023 | 1.99% |
| Aug 31, 2023 | 1.72% |
| May 31, 2023 | 1.80% |
| Feb 28, 2023 | 1.97% |
| Nov 30, 2022 | 2.06% |
| Aug 31, 2022 | 1.57% |
| May 31, 2022 | 1.66% |
| Feb 28, 2022 | 1.44% |
| Nov 30, 2021 | 1.19% |
Td Synnex Return on Sales [ROS] 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=return-on-sales-%5Bros%5D&ticker=SNX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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=return-on-sales-%5Bros%5D&ticker=SNX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();