TE Connectivity (TEL) Capital Expenditures (2009 - 2026)
TE Connectivity (TEL) recorded Capital Expenditures of $304 million in fiscal Q3 2026 (quarter ended Jun 26, 2026), up 32.2% from $230 million a year earlier and up 12.6% from the prior quarter.
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Analysis
TE Connectivity (TEL) Capital Expenditures (2009 - 2026) Analysis & Trends
On a TTM basis, TE Connectivity's Capital Expenditures came in at $1.1 billion as of Jun 26, 2026, up 25.6% year-over-year; for FY2025 (ended Sep 26, 2025), it came in at $936 million, up 37.6% from FY2024.
- Annual Capital Expenditures has a five-year compound annual growth rate of 10.8% (FY2020 to FY2025).
- Across earlier fiscal years, Capital Expenditures came in at $680 million in FY2024 (-7.1%), $732 million in FY2023 (-4.7%), $768 million in FY2022 (+11.3%) and $690 million in FY2021 (+23.2%).
- The fiscal Q3 2026 figure is the highest quarterly Capital Expenditures in data going back to fiscal Q2 2009.
- On a year-over-year basis, Capital Expenditures has increased for eight consecutive quarters, with growth averaging 30.0% over the last eight quarters.
- Peak year-over-year performance for Capital Expenditures in the last five years was growth of 95.0% in fiscal Q4 2021, 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 $270 million (Q2 2026), $258 million (Q1 2026) and $271 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Capex (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 376.87 Bn | 348.57 Bn | 7.76 Bn | 587.00 Mn |
| 2 | Amphenol | 208.65 Bn | 203.35 Bn | 3.55 Bn | 355.50 Mn |
| 3 | Deere | 185.97 Bn | 194.73 Bn | 4.66 Bn | 638.00 Mn |
| 4 | Eaton | 167.50 Bn | 164.73 Bn | 2.86 Bn | 253.00 Mn |
| 5 | Parker-Hannifin | 122.25 Bn | 120.39 Bn | 2.25 Bn | 173.00 Mn |
| 6 | Vertiv Holdings | 93.95 Bn | 84.57 Bn | 1.23 Bn | 173.30 Mn |
| 7 | Emerson Electric | 88.90 Bn | 81.65 Bn | 2.66 Bn | 102.00 Mn |
| 8 | 3M | 87.39 Bn | 68.85 Bn | 2.68 Bn | 223.00 Mn |
| 9 | Illinois Tool Works | 78.00 Bn | 74.56 Bn | 1.90 Bn | 92.00 Mn |
| 10 | TE Connectivity | 62.17 Bn | 57.46 Bn | 1.84 Bn | 304.00 Mn |
Historic Data
Download Data
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 |
API Access
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_KEYimport 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();