TE Connectivity (TEL) Capital Expenditures (2009 - 2026)
TE Connectivity (TEL) recorded Capital Expenditures of $290 million in fiscal Q4 2026 (quarter ended Sep 25, 2026), up 7.0% from $271 million a year earlier but down 4.6% from the prior quarter.
TE Connectivity (TEL) Capital Expenditures (2009 - 2026) Analysis & Trends
For FY2026 (ended Sep 25, 2026), TE Connectivity reported Capital Expenditures of $1.12 billion, up 19.9% from FY2025.
- Annual Capital Expenditures has a five-year compound annual growth rate of 10.2% (FY2021 to FY2026).
- Across earlier fiscal years, Capital Expenditures came in at $936 million in FY2025 (+37.6%), $680 million in FY2024 (-7.1%), $732 million in FY2023 (-4.7%) and $768 million in FY2022 (+11.3%).
- Quarterly Capital Expenditures has ranged from $149 million in fiscal Q3 2024 to $304 million in fiscal Q3 2026 over the past five years.
- On a year-over-year basis, Capital Expenditures has increased for nine consecutive quarters, with growth averaging 29.7% over the last eight quarters.
- Peak year-over-year performance for Capital Expenditures in the last five years was growth of 54.4% in fiscal Q3 2025, against a decline of 19.0% in fiscal Q3 2023 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $304 million (Q3 2026), $270 million (Q2 2026) and $258 million (Q1 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Capex (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 268.42 Bn | 239.73 Bn | 7.35 Bn | 1.06 Bn |
| 2 | Amphenol | 200.18 Bn | 194.88 Bn | 4.02 Bn | 457.20 Mn |
| 3 | Deere | 182.33 Bn | 150.42 Bn | 4.66 Bn | 903.00 Mn |
| 4 | Eaton | 139.45 Bn | 136.39 Bn | 3.11 Bn | 275.00 Mn |
| 5 | Parker-Hannifin | 120.96 Bn | 118.84 Bn | 2.26 Bn | 109.00 Mn |
| 6 | 3M | 97.01 Bn | 78.45 Bn | 2.78 Bn | 256.00 Mn |
| 7 | Emerson Electric | 93.92 Bn | 86.65 Bn | 2.66 Bn | 102.00 Mn |
| 8 | Illinois Tool Works | 80.83 Bn | 77.51 Bn | 1.91 Bn | 102.00 Mn |
| 9 | Vertiv Holdings | 75.75 Bn | 64.60 Bn | 1.64 Bn | 139.10 Mn |
| 10 | TE Connectivity | 63.95 Bn | 59.09 Bn | 1.84 Bn | 304.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 26, 2026 | 304.00 Mn |
| Mar 27, 2026 | 270.00 Mn |
| Dec 26, 2025 | 258.00 Mn |
| Sep 26, 2025 | 271.00 Mn |
| Jun 27, 2025 | 230.00 Mn |
| Mar 28, 2025 | 230.00 Mn |
| Dec 27, 2024 | 205.00 Mn |
| Sep 27, 2024 | 213.00 Mn |
| Jun 28, 2024 | 149.00 Mn |
| Mar 29, 2024 | 167.00 Mn |
| Dec 29, 2023 | 151.00 Mn |
| Sep 29, 2023 | 194.00 Mn |
| Jun 30, 2023 | 166.00 Mn |
| Mar 31, 2023 | 189.00 Mn |
| Dec 30, 2022 | 183.00 Mn |
| Sep 30, 2022 | 212.00 Mn |
| Jun 24, 2022 | 205.00 Mn |
| Mar 25, 2022 | 179.00 Mn |
| Dec 24, 2021 | 172.00 Mn |
| Sep 24, 2021 | 236.00 Mn |
TE Connectivity Capital Expenditures 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=capital-expenditures&ticker=TEL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "capital-expenditures", "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=capital-expenditures&ticker=TEL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();