Td Synnex (SNX) Return on Capital Employed [ROCE] (2011 - 2026)
Td Synnex (SNX) recorded Return on Capital Employed [ROCE] of 16.31% in fiscal Q3 2026 (quarter ended Aug 31, 2026), up 5.33 percentage points from 10.98% a year earlier and up 1.54 percentage points from the prior quarter.
Td Synnex (SNX) Return on Capital Employed [ROCE] (2011 - 2026) Analysis & Trends
For FY2025 (ended Nov 30, 2025), Td Synnex reported Return on Capital Employed [ROCE] of 12.52%, up 3.06 percentage points from FY2024.
- Annual Return on Capital Employed [ROCE] has a five-year change of +5.02 percentage points (FY2020 to FY2025).
- Across earlier fiscal years, Return on Capital Employed [ROCE] came in at 9.46% in FY2024 (+1.06 pp), 8.40% in FY2023 (-0.16 pp), 8.56% in FY2022 (-1.28 pp) and 9.84% in FY2021 (+2.34 pp).
- The fiscal Q3 2026 figure is the highest quarterly Return on Capital Employed [ROCE] since fiscal Q4 2017.
- On a year-over-year basis, Return on Capital Employed [ROCE] has increased for ten consecutive quarters, with an average year-over-year change of +2.55 percentage points over the last eight quarters.
- Peak year-over-year performance for Return on Capital Employed [ROCE] in the last five years was a gain of 6.10 percentage points in fiscal Q4 2021, against a drop of 4.85 percentage points in fiscal Q3 2022 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at 14.78% (Q2 2026), 12.10% (Q1 2026) and 11.78% (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROCE (Qtr) |
|---|---|---|---|---|---|
| 1 | Infosys | 50.24 Bn | 36.74 Bn | 1.60 Bn | 802.09% |
| 2 | Cognizant Technology Solutions | 31.12 Bn | 24.28 Bn | 1.83 Bn | 19.98% |
| 3 | Wipro | 20.11 Bn | 14.81 Bn | 738.00 Mn | 16.59% |
| 4 | Td Synnex | 19.66 Bn | 13.82 Bn | 1.43 Bn | 16.31% |
| 5 | Cdw | 19.39 Bn | 17.38 Bn | 1.32 Bn | 19.62% |
| 6 | Cgi | 16.87 Bn | 14.67 Bn | - | 15.88% |
| 7 | Arrow Electronics | 11.10 Bn | 10.05 Bn | 1.13 Bn | 14.39% |
| 8 | Avnet | 7.54 Bn | 6.72 Bn | 865.03 Mn | 10.42% |
| 9 | EPAM Systems | 6.64 Bn | 2.28 Bn | 429.57 Mn | 14.69% |
| 10 | Ingram Micro Holding | 6.19 Bn | 1.79 Bn | 958.68 Mn | 14.02% |
Historic Data
| Date | Value |
|---|---|
| Aug 31, 2026 | 16.31% |
| May 31, 2026 | 14.78% |
| Feb 28, 2026 | 12.10% |
| Nov 30, 2025 | 11.78% |
| Aug 31, 2025 | 10.98% |
| May 31, 2025 | 10.06% |
| Feb 28, 2025 | 8.67% |
| Nov 30, 2024 | 9.54% |
| Aug 31, 2024 | 9.27% |
| May 31, 2024 | 8.38% |
| Feb 29, 2024 | 8.11% |
| Nov 30, 2023 | 8.82% |
| Aug 31, 2023 | 8.85% |
| May 31, 2023 | 7.94% |
| Feb 28, 2023 | 8.23% |
| Nov 30, 2022 | 8.09% |
| Aug 31, 2022 | 7.13% |
| May 31, 2022 | 5.89% |
| Feb 28, 2022 | 5.42% |
| Nov 30, 2021 | 12.84% |
Td Synnex Return on Capital Employed [ROCE] 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-capital-employed-%5Broce%5D&ticker=SNX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-capital-employed-[roce]", "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-capital-employed-%5Broce%5D&ticker=SNX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();