TE Connectivity (TEL) Enterprise Value (2009 - 2026)
TE Connectivity (TEL) reported Enterprise Value of $56.16 billion for fiscal Q3 2026 (quarter ended Jun 26, 2026), up 15.1% from $48.78 billion a year earlier but down 3.2% from the prior quarter.
TE Connectivity (TEL) Enterprise Value (2009 - 2026) Analysis & Trends
Over the twelve months ended Jun 26, 2026, TE Connectivity's Enterprise Value came in at $52.54 billion, up 20.4% year-over-year; for FY2025 (ended Sep 26, 2025), it came in at $62.74 billion, up 42.4% from FY2024.
- Enterprise Value has increased for three consecutive fiscal years, with a five-year compound annual growth rate of 15.4% (FY2020 to FY2025).
- By fiscal year, Enterprise Value came in at $44.05 billion in FY2024 (+19.6%), $36.83 billion in FY2023 (+8.3%), $34.02 billion in FY2022 (-25.9%) and $45.92 billion in FY2021 (+49.5%).
- Five-year quarterly Enterprise Value spans a low of $34.02 billion in fiscal Q4 2022 and a high of $67.12 billion in fiscal Q1 2026.
- Year over year, Enterprise Value has now increased in each of the last five quarters, with growth averaging 22.9% over the last eight quarters.
- The high point for year-over-year Enterprise Value in five years was fiscal Q1 2026 (growth of 59.3%); the low point was fiscal Q1 2023 (a decline of 29.7%).
- Per Business Quant data, the three fiscal quarters before Q3 2026 came in at $58.04 billion (Q2 2026), $67.12 billion (Q1 2026) and $62.74 billion (Q4 2025).
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
| Date | Value |
|---|---|
| Jun 26, 2026 | 56.16 Bn |
| Mar 27, 2026 | 58.04 Bn |
| Dec 26, 2025 | 67.12 Bn |
| Sep 26, 2025 | 62.74 Bn |
| Jun 27, 2025 | 48.78 Bn |
| Mar 28, 2025 | 39.73 Bn |
| Dec 27, 2024 | 42.13 Bn |
| Sep 27, 2024 | 44.05 Bn |
| Jun 28, 2024 | 44.37 Bn |
| Mar 29, 2024 | 43.41 Bn |
| Dec 29, 2023 | 42.32 Bn |
| Sep 29, 2023 | 36.83 Bn |
| Jun 30, 2023 | 42.98 Bn |
| Mar 31, 2023 | 40.53 Bn |
| Dec 30, 2022 | 35.64 Bn |
| Sep 30, 2022 | 34.02 Bn |
| Jun 24, 2022 | 37.15 Bn |
| Mar 25, 2022 | 41.96 Bn |
| Dec 24, 2021 | 50.71 Bn |
| Sep 24, 2021 | 45.92 Bn |
TE Connectivity Enterprise Value 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=enterprise-value&ticker=TEL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "enterprise-value", "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=enterprise-value&ticker=TEL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();