TE Connectivity (TEL) EBITDA Margin (2009 - 2026)
TE Connectivity (TEL) posted EBITDA Margin of 23.97% for fiscal Q3 2026 (quarter ended Jun 26, 2026), up 0.31 percentage points from 23.67% a year earlier but down 1.26 percentage points from the prior quarter.
TE Connectivity (TEL) EBITDA Margin (2009 - 2026) Analysis & Trends
For the trailing twelve months through Jun 26, 2026, EBITDA Margin at TE Connectivity was 24.92%, up 2.18 percentage points year-over-year; for FY2025 (ended Sep 26, 2025), it came in at 23.46%, up 0.60 percentage points from FY2024.
- Annual EBITDA Margin shows a five-year change of +13.20 percentage points (FY2020 to FY2025).
- In prior fiscal years, TE Connectivity's EBITDA Margin was 22.86% in FY2024 (+3.54 pp), 19.32% in FY2023 (-2.43 pp), 21.75% in FY2022 (+0.29 pp) and 21.46% in FY2021 (+11.21 pp).
- Quarterly EBITDA Margin has run from a low of 17.88% in fiscal Q2 2023 to a high of 26.17% in fiscal Q1 2026 over five years.
- On a year-over-year basis, EBITDA Margin has increased in each of the last four quarters, with an average year-over-year change of +1.17 percentage points over the last eight quarters.
- The strongest year-over-year quarter for EBITDA Margin in the past five years was fiscal Q4 2021, with a gain of 5.78 percentage points; the weakest was fiscal Q1 2023, with a drop of 4.85 percentage points.
- According to Business Quant data, EBITDA Margin for the three prior fiscal quarters was 25.23% (Q2 2026), 26.17% (Q1 2026) and 24.43% (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 376.87 Bn | 348.57 Bn | 7.76 Bn | 23.91% |
| 2 | Amphenol | 208.65 Bn | 203.35 Bn | 3.55 Bn | 33.41% |
| 3 | Deere | 185.97 Bn | 194.73 Bn | 4.66 Bn | 19.50% |
| 4 | Eaton | 167.50 Bn | 164.73 Bn | 2.86 Bn | 20.99% |
| 5 | Parker-Hannifin | 122.25 Bn | 120.39 Bn | 2.25 Bn | 27.98% |
| 6 | Vertiv Holdings | 93.95 Bn | 84.57 Bn | 1.23 Bn | 23.02% |
| 7 | Emerson Electric | 88.90 Bn | 81.65 Bn | 2.66 Bn | 34.66% |
| 8 | 3M | 87.39 Bn | 68.85 Bn | 2.68 Bn | 20.29% |
| 9 | Illinois Tool Works | 78.00 Bn | 74.56 Bn | 1.90 Bn | 28.95% |
| 10 | TE Connectivity | 62.17 Bn | 57.46 Bn | 1.84 Bn | 23.97% |
Historic Data
| Date | Value |
|---|---|
| Jun 26, 2026 | 23.97% |
| Mar 27, 2026 | 25.23% |
| Dec 26, 2025 | 26.17% |
| Sep 26, 2025 | 24.43% |
| Jun 27, 2025 | 23.67% |
| Mar 28, 2025 | 22.69% |
| Dec 27, 2024 | 22.84% |
| Sep 27, 2024 | 21.71% |
| Jun 28, 2024 | 24.20% |
| Mar 29, 2024 | 22.28% |
| Dec 29, 2023 | 23.28% |
| Sep 29, 2023 | 20.69% |
| Jun 30, 2023 | 20.76% |
| Mar 31, 2023 | 17.88% |
| Dec 30, 2022 | 17.94% |
| Sep 30, 2022 | 19.45% |
| Jun 24, 2022 | 22.55% |
| Mar 25, 2022 | 22.44% |
| Dec 24, 2021 | 22.79% |
| Sep 24, 2021 | 21.97% |
TE Connectivity EBITDA Margin 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=ebitda-margin&ticker=TEL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda-margin", "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=ebitda-margin&ticker=TEL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();