TE Connectivity (TEL) Other Accumulated Expenses (2009 - 2026)
TE Connectivity (TEL) posted Other Accumulated Expenses of $2.15 billion for fiscal Q3 2026 (quarter ended Jun 26, 2026), up 1.7% from $2.11 billion a year earlier and up 5.4% from the prior quarter.
TE Connectivity (TEL) Other Accumulated Expenses (2009 - 2026) Analysis & Trends
At the end of FY2025 (ended Sep 26, 2025), TE Connectivity's Other Accumulated Expenses came in at $2.25 billion, up 4.7% from FY2024.
- Annual Other Accumulated Expenses shows a five-year compound annual growth rate of 5.5% (FY2020 to FY2025).
- In prior fiscal years, TE Connectivity's Other Accumulated Expenses was $2.15 billion in FY2024 (-3.2%), $2.22 billion in FY2023 (+4.4%), $2.13 billion in FY2022 (-5.2%) and $2.24 billion in FY2021 (+30.3%).
- Quarterly Other Accumulated Expenses has run from a low of $1.69 billion in fiscal Q1 2025 to a high of $2.45 billion in fiscal Q2 2022 over five years.
- On a year-over-year basis, Other Accumulated Expenses has increased in each of the last four quarters, with growth averaging 1.3% over the last eight quarters.
- The strongest year-over-year quarter for Other Accumulated Expenses in the past five years was fiscal Q4 2021, with growth of 30.3%; the weakest was fiscal Q2 2025, with a decline of 22.5%.
- According to Business Quant data, Other Accumulated Expenses for the three prior fiscal quarters was $2.04 billion (Q2 2026), $2.07 billion (Q1 2026) and $2.25 billion (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Caterpillar | 388.70 Bn | 360.40 Bn | 7.76 Bn |
| 2 | Amphenol | 214.42 Bn | 209.12 Bn | 3.55 Bn |
| 3 | Deere | 185.30 Bn | 194.07 Bn | 4.66 Bn |
| 4 | Eaton | 169.35 Bn | 166.59 Bn | 2.86 Bn |
| 5 | Parker-Hannifin | 122.64 Bn | 120.77 Bn | 2.25 Bn |
| 6 | Vertiv Holdings | 97.12 Bn | 87.74 Bn | 1.23 Bn |
| 7 | Emerson Electric | 90.13 Bn | 82.89 Bn | 2.66 Bn |
| 8 | 3M | 83.49 Bn | 64.94 Bn | 2.68 Bn |
| 9 | Illinois Tool Works | 74.89 Bn | 71.45 Bn | 1.90 Bn |
| 10 | TE Connectivity | 63.79 Bn | 59.08 Bn | 1.84 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 26, 2026 | 2.15 Bn |
| Mar 27, 2026 | 2.04 Bn |
| Dec 26, 2025 | 2.07 Bn |
| Sep 26, 2025 | 2.25 Bn |
| Jun 27, 2025 | 2.11 Bn |
| Mar 28, 2025 | 1.81 Bn |
| Dec 27, 2024 | 1.69 Bn |
| Sep 27, 2024 | 2.15 Bn |
| Jun 28, 2024 | 2.21 Bn |
| Mar 29, 2024 | 2.33 Bn |
| Dec 29, 2023 | 1.71 Bn |
| Sep 29, 2023 | 2.22 Bn |
| Jun 30, 2023 | 2.35 Bn |
| Mar 31, 2023 | 2.43 Bn |
| Dec 30, 2022 | 1.85 Bn |
| Sep 30, 2022 | 2.13 Bn |
| Jun 24, 2022 | 2.32 Bn |
| Mar 25, 2022 | 2.45 Bn |
| Dec 24, 2021 | 1.83 Bn |
| Sep 24, 2021 | 2.24 Bn |
TE Connectivity Other Accumulated 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=other-accumulated-expenses&ticker=TEL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-accumulated-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=other-accumulated-expenses&ticker=TEL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();