TE Connectivity (TEL) EV to EBITDA (2010 - 2026)
TE Connectivity's (TEL) EV to EBITDA came in at 11.66 for fiscal Q3 2026 (quarter ended Jun 26, 2026), down 9.8% from 12.93 a year earlier and down 6.5% from the prior quarter.
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Analysis
TE Connectivity (TEL) EV to EBITDA (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jun 26, 2026, EV to EBITDA at TE Connectivity was 10.91, down 5.7% year-over-year; for FY2025 (ended Sep 26, 2025), it was 15.50, up 27.4% from FY2024.
- Annual EV to EBITDA has increased for three consecutive fiscal years.
- In prior fiscal years, TE Connectivity's EV to EBITDA was 12.16 in FY2024 (+2.3%), 11.89 in FY2023 (+23.8%), 9.61 in FY2022 (-33.0%) and 14.34 in FY2021 (-41.7%).
- The fiscal Q3 2026 figure stands as the lowest quarterly EV to EBITDA since fiscal Q2 2025.
- On a year-over-year basis, EV to EBITDA increased in five of the last eight quarters, with growth averaging 5.9%.
- The strongest year-over-year quarter for EV to EBITDA in the past five years was fiscal Q3 2023, with growth of 31.3%; the weakest was fiscal Q1 2022, with a decline of 52.8%.
- According to Business Quant data, EV to EBITDA for the three prior fiscal quarters was 12.48 (Q2 2026), 15.27 (Q1 2026) and 15.50 (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Caterpillar | 376.87 Bn | 348.57 Bn | 7.76 Bn |
| 2 | Amphenol | 208.65 Bn | 203.35 Bn | 3.55 Bn |
| 3 | Deere | 185.97 Bn | 194.73 Bn | 4.66 Bn |
| 4 | Eaton | 167.50 Bn | 164.73 Bn | 2.86 Bn |
| 5 | Parker-Hannifin | 122.25 Bn | 120.39 Bn | 2.25 Bn |
| 6 | Vertiv Holdings | 93.95 Bn | 84.57 Bn | 1.23 Bn |
| 7 | Emerson Electric | 88.90 Bn | 81.65 Bn | 2.66 Bn |
| 8 | 3M | 87.39 Bn | 68.85 Bn | 2.68 Bn |
| 9 | Illinois Tool Works | 78.00 Bn | 74.56 Bn | 1.90 Bn |
| 10 | TE Connectivity | 62.17 Bn | 57.46 Bn | 1.84 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 26, 2026 | 11.66 |
| Mar 27, 2026 | 12.48 |
| Dec 26, 2025 | 15.27 |
| Sep 26, 2025 | 15.50 |
| Jun 27, 2025 | 12.93 |
| Mar 28, 2025 | 10.85 |
| Dec 27, 2024 | 11.68 |
| Sep 27, 2024 | 12.16 |
| Jun 28, 2024 | 12.42 |
| Mar 29, 2024 | 12.61 |
| Dec 29, 2023 | 12.82 |
| Sep 29, 2023 | 11.89 |
| Jun 30, 2023 | 13.81 |
| Mar 31, 2023 | 12.65 |
| Dec 30, 2022 | 10.61 |
| Sep 30, 2022 | 9.61 |
| Jun 24, 2022 | 10.52 |
| Mar 25, 2022 | 11.88 |
| Dec 24, 2021 | 14.75 |
| Sep 24, 2021 | 14.34 |
API Access
TE Connectivity EV to EBITDA 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=ev-to-ebitda&ticker=TEL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-ebitda", "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=ev-to-ebitda&ticker=TEL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();