TE Connectivity (TEL) EBITDA (2009 - 2026)
TE Connectivity's EBITDA came in at $1.24 billion for fiscal Q3 2026 (quarter ended Jun 26, 2026), up 15.3% from $1.07 billion a year earlier and up 3.3% from the prior quarter.
TE Connectivity (TEL) EBITDA (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 26, 2026, TE Connectivity reported EBITDA of $4.82 billion, up 27.7% year-over-year; for FY2025 (ended Sep 26, 2025), it came in at $4.05 billion, up 11.8% from FY2024.
- EBITDA carries a five-year compound annual growth rate of 26.5% (FY2020 to FY2025).
- Going back by fiscal year, EBITDA was $3.62 billion in FY2024 (+16.9%), $3.1 billion in FY2023 (-12.5%), $3.54 billion in FY2022 (+10.6%) and $3.2 billion in FY2021 (+156.7%).
- The fiscal Q3 2026 figure represents the highest quarterly EBITDA in data going back to fiscal Q2 2009.
- Year-over-year, EBITDA has increased for six consecutive quarters, with growth averaging 16.9% over the last eight quarters.
- The fastest year-over-year change in EBITDA over five years came in fiscal Q4 2021 (growth of 58.9%), and the weakest in fiscal Q1 2023 (a decline of 20.8%).
- Business Quant data shows TEL's EBITDA at $1.2 billion (Q2 2026), $1.22 billion (Q1 2026) and $1.16 billion (Q4 2025) in the three fiscal quarters before Q3 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 376.87 Bn | 348.57 Bn | 7.76 Bn | 4.91 Bn |
| 2 | Amphenol | 208.65 Bn | 203.35 Bn | 3.55 Bn | 2.93 Bn |
| 3 | Deere | 185.97 Bn | 194.73 Bn | 4.66 Bn | 2.46 Bn |
| 4 | Eaton | 167.50 Bn | 164.73 Bn | 2.86 Bn | 1.79 Bn |
| 5 | Parker-Hannifin | 122.25 Bn | 120.39 Bn | 2.25 Bn | 1.61 Bn |
| 6 | Vertiv Holdings | 93.95 Bn | 84.57 Bn | 1.23 Bn | 753.70 Mn |
| 7 | Emerson Electric | 88.90 Bn | 81.65 Bn | 2.66 Bn | 1.69 Bn |
| 8 | 3M | 87.39 Bn | 68.85 Bn | 2.68 Bn | 1.32 Bn |
| 9 | Illinois Tool Works | 78.00 Bn | 74.56 Bn | 1.90 Bn | 1.25 Bn |
| 10 | TE Connectivity | 62.17 Bn | 57.46 Bn | 1.84 Bn | 1.24 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 26, 2026 | 1.24 Bn |
| Mar 27, 2026 | 1.20 Bn |
| Dec 26, 2025 | 1.22 Bn |
| Sep 26, 2025 | 1.16 Bn |
| Jun 27, 2025 | 1.07 Bn |
| Mar 28, 2025 | 940.00 Mn |
| Dec 27, 2024 | 876.00 Mn |
| Sep 27, 2024 | 883.00 Mn |
| Jun 28, 2024 | 963.00 Mn |
| Mar 29, 2024 | 884.00 Mn |
| Dec 29, 2023 | 892.00 Mn |
| Sep 29, 2023 | 835.00 Mn |
| Jun 30, 2023 | 830.00 Mn |
| Mar 31, 2023 | 744.00 Mn |
| Dec 30, 2022 | 689.00 Mn |
| Sep 30, 2022 | 848.00 Mn |
| Jun 24, 2022 | 924.00 Mn |
| Mar 25, 2022 | 899.00 Mn |
| Dec 24, 2021 | 870.00 Mn |
| Sep 24, 2021 | 839.00 Mn |
TE Connectivity 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=ebitda&ticker=TEL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "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=ebitda&ticker=TEL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();