TE Connectivity (TEL) Return on Sales [ROS] (2009 - 2026)
TE Connectivity's Return on Sales [ROS] came in at 19.01% for fiscal Q3 2026 (quarter ended Jun 26, 2026), up 0.11 percentage points from 18.90% a year earlier but down 1.10 percentage points from the prior quarter.
TE Connectivity (TEL) Return on Sales [ROS] (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 26, 2026, TE Connectivity reported Return on Sales [ROS] of 19.74%, up 1.97 percentage points year-over-year; for FY2025 (ended Sep 26, 2025), it came in at 18.60%, up 0.96 percentage points from FY2024.
- Return on Sales [ROS] carries a five-year change of +14.19 percentage points (FY2020 to FY2025).
- Going back by fiscal year, Return on Sales [ROS] was 17.65% in FY2024 (+3.28 pp), 14.37% in FY2023 (-2.56 pp), 16.93% in FY2022 (+0.62 pp) and 16.31% in FY2021 (+11.90 pp).
- The five-year range for quarterly Return on Sales [ROS] is 12.91% (fiscal Q2 2023) to 20.63% (fiscal Q1 2026).
- Year-over-year, Return on Sales [ROS] has increased for four consecutive quarters, with an average year-over-year change of +1.08 percentage points over the last eight quarters.
- The fastest year-over-year change in Return on Sales [ROS] over five years came in fiscal Q4 2021 (a gain of 6.65 percentage points), and the weakest in fiscal Q2 2023 (a drop of 4.69 percentage points).
- Business Quant data shows TEL's Return on Sales [ROS] at 20.11% (Q2 2026), 20.63% (Q1 2026) and 19.29% (Q4 2025) in the three fiscal quarters before Q3 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 388.70 Bn | 360.40 Bn | 7.76 Bn | 20.91% |
| 2 | Amphenol | 214.42 Bn | 209.12 Bn | 3.55 Bn | 29.51% |
| 3 | Deere | 185.30 Bn | 194.07 Bn | 4.66 Bn | 14.72% |
| 4 | Eaton | 169.35 Bn | 166.59 Bn | 2.86 Bn | 16.32% |
| 5 | Parker-Hannifin | 122.64 Bn | 120.77 Bn | 2.25 Bn | 23.86% |
| 6 | Vertiv Holdings | 97.12 Bn | 87.74 Bn | 1.23 Bn | 19.48% |
| 7 | Emerson Electric | 90.13 Bn | 82.89 Bn | 2.66 Bn | 26.92% |
| 8 | 3M | 83.49 Bn | 64.94 Bn | 2.68 Bn | 15.14% |
| 9 | Illinois Tool Works | 74.89 Bn | 71.45 Bn | 1.90 Bn | 26.67% |
| 10 | TE Connectivity | 63.79 Bn | 59.08 Bn | 1.84 Bn | 19.01% |
Historic Data
| Date | Value |
|---|---|
| Jun 26, 2026 | 19.01% |
| Mar 27, 2026 | 20.11% |
| Dec 26, 2025 | 20.63% |
| Sep 26, 2025 | 19.29% |
| Jun 27, 2025 | 18.90% |
| Mar 28, 2025 | 18.05% |
| Dec 27, 2024 | 17.99% |
| Sep 27, 2024 | 16.00% |
| Jun 28, 2024 | 18.97% |
| Mar 29, 2024 | 17.44% |
| Dec 29, 2023 | 18.22% |
| Sep 29, 2023 | 15.74% |
| Jun 30, 2023 | 15.76% |
| Mar 31, 2023 | 12.91% |
| Dec 30, 2022 | 13.07% |
| Sep 30, 2022 | 15.14% |
| Jun 24, 2022 | 17.55% |
| Mar 25, 2022 | 17.59% |
| Dec 24, 2021 | 17.60% |
| Sep 24, 2021 | 17.29% |
TE Connectivity 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=TEL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "TEL", "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=TEL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();