TE Connectivity (TEL) Interest Expenses (2009 - 2026)
TE Connectivity's Interest Expenses came in at $31 million for fiscal Q3 2026 (quarter ended Jun 26, 2026), up 10.7% from $28 million a year earlier but down 3.1% from the prior quarter.
TE Connectivity (TEL) Interest Expenses (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 26, 2026, TE Connectivity reported Interest Expenses of $122 million, up 93.7% year-over-year; for FY2025 (ended Sep 26, 2025), it came in at $77 million, up 10.0% from FY2024.
- Interest Expenses carries a five-year compound annual growth rate of 9.9% (FY2020 to FY2025).
- Going back by fiscal year, Interest Expenses was $70 million in FY2024 (-12.5%), $80 million in FY2023 (+21.2%), $66 million in FY2022 (+17.9%) and $56 million in FY2021 (+16.7%).
- The five-year range for quarterly Interest Expenses is $6 million (fiscal Q1 2025) to $32 million (fiscal Q2 2026).
- Year-over-year, Interest Expenses has increased for five consecutive quarters, with growth averaging 71.8% over the last eight quarters.
- The fastest year-over-year change in Interest Expenses over five years came in fiscal Q1 2026 (growth of 400.0%), and the weakest in fiscal Q1 2025 (a decline of 66.7%).
- Business Quant data shows TEL's Interest Expenses at $32 million (Q2 2026), $30 million (Q1 2026) and $29 million (Q4 2025) in the three fiscal quarters before Q3 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Int Expense (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 380.10 Bn | 351.79 Bn | 7.76 Bn | 497.00 Mn |
| 2 | Amphenol | 208.03 Bn | 202.73 Bn | 3.55 Bn | 213.70 Mn |
| 3 | Deere | 183.47 Bn | 192.23 Bn | 4.66 Bn | 661.00 Mn |
| 4 | Eaton | 168.26 Bn | 165.49 Bn | 2.86 Bn | 201.00 Mn |
| 5 | Parker-Hannifin | 122.34 Bn | 120.47 Bn | 2.25 Bn | 95.00 Mn |
| 6 | Vertiv Holdings | 95.63 Bn | 86.25 Bn | 1.23 Bn | 17.40 Mn |
| 7 | Emerson Electric | 87.72 Bn | 80.47 Bn | 2.66 Bn | - |
| 8 | 3M | 86.87 Bn | 68.33 Bn | 2.68 Bn | - |
| 9 | Illinois Tool Works | 76.08 Bn | 72.64 Bn | 1.90 Bn | 79.00 Mn |
| 10 | TE Connectivity | 61.54 Bn | 56.83 Bn | 1.84 Bn | 31.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 26, 2026 | 31.00 Mn |
| Mar 27, 2026 | 32.00 Mn |
| Dec 26, 2025 | 30.00 Mn |
| Sep 26, 2025 | 29.00 Mn |
| Jun 27, 2025 | 28.00 Mn |
| Mar 28, 2025 | 14.00 Mn |
| Dec 27, 2024 | 6.00 Mn |
| Sep 27, 2024 | 15.00 Mn |
| Jun 28, 2024 | 18.00 Mn |
| Mar 29, 2024 | 19.00 Mn |
| Dec 29, 2023 | 18.00 Mn |
| Sep 29, 2023 | 19.00 Mn |
| Jun 30, 2023 | 20.00 Mn |
| Mar 31, 2023 | 20.00 Mn |
| Dec 30, 2022 | 21.00 Mn |
| Sep 30, 2022 | 18.00 Mn |
| Jun 24, 2022 | 18.00 Mn |
| Mar 25, 2022 | 18.00 Mn |
| Dec 24, 2021 | 12.00 Mn |
| Sep 24, 2021 | 14.00 Mn |
TE Connectivity Interest Expenses 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=interest-expenses&ticker=TEL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "interest-expenses", "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=interest-expenses&ticker=TEL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();