TE Connectivity (TEL) Non Operating Interest Expenses (2009 - 2026)
TE Connectivity (TEL) recorded Non Operating Interest Expenses of $31 million in fiscal Q4 2026 (quarter ended Sep 25, 2026), up 6.9% from $29 million a year earlier and unchanged from the prior quarter.
TE Connectivity (TEL) Non Operating Interest Expenses (2009 - 2026) Analysis & Trends
For FY2026 (ended Sep 25, 2026), TE Connectivity reported Non Operating Interest Expenses of $124 million, up 61.0% from FY2025.
- Annual Non Operating Interest Expenses has a five-year compound annual growth rate of 17.2% (FY2021 to FY2026).
- Across earlier fiscal years, Non Operating Interest Expenses came in at $77 million in FY2025 (+10.0%), $70 million in FY2024 (-12.5%), $80 million in FY2023 (+21.2%) and $66 million in FY2022 (+17.9%).
- Quarterly Non Operating Interest Expenses has ranged from $6 million in fiscal Q1 2025 to $32 million in fiscal Q2 2026 over the past five years.
- On a year-over-year basis, Non Operating Interest Expenses has increased for six consecutive quarters, with growth averaging 75.3% over the last eight quarters.
- Peak year-over-year performance for Non Operating Interest Expenses in the last five years was growth of 400.0% in fiscal Q1 2026, against a decline of 66.7% in fiscal Q1 2025 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $31 million (Q3 2026), $32 million (Q2 2026) and $30 million (Q1 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Operating Interest Expenses (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 256.79 Bn | 228.09 Bn | 7.35 Bn | 129.00 Mn |
| 2 | Amphenol | 183.76 Bn | 178.46 Bn | 4.02 Bn | 212.30 Mn |
| 3 | Deere | 181.25 Bn | 149.34 Bn | 4.66 Bn | 710.00 Mn |
| 4 | Eaton | 132.82 Bn | 129.76 Bn | 3.11 Bn | 198.00 Mn |
| 5 | Parker-Hannifin | 115.39 Bn | 113.27 Bn | 2.26 Bn | 146.00 Mn |
| 6 | 3M | 96.09 Bn | 77.53 Bn | 2.78 Bn | - |
| 7 | Emerson Electric | 90.66 Bn | 83.40 Bn | 2.66 Bn | - |
| 8 | Illinois Tool Works | 79.95 Bn | 76.63 Bn | 1.91 Bn | 83.00 Mn |
| 9 | Vertiv Holdings | 70.25 Bn | 59.10 Bn | 1.64 Bn | 6.40 Mn |
| 10 | TE Connectivity | 60.40 Bn | 55.55 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 Non Operating 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=non-operating-interest-expenses&ticker=TEL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-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=non-operating-interest-expenses&ticker=TEL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();