TE Connectivity (TEL) Accumulated Expenses (2009 - 2025)
TE Connectivity's Accumulated Expenses was $163 million in fiscal Q4 2025 (quarter ended Sep 26, 2025), down 30.0% from $233 million a year earlier.
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Analysis
TE Connectivity (TEL) Accumulated Expenses (2009 - 2025) Analysis & Trends
From fiscal Q3 2009 onward, TE Connectivity has reported Accumulated Expenses for 15 quarters.
- Accumulated Expenses shows a five-year compound annual growth rate of -6.6% (FY2020 to FY2025).
- In earlier fiscal years, Accumulated Expenses was $233 million in FY2024 (-2.9%), $240 million in FY2023 (+31.9%), $182 million in FY2022 (-22.9%) and $236 million in FY2021 (+3.1%).
- The fiscal Q4 2025 figure marks the lowest quarterly Accumulated Expenses since fiscal Q4 2018.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Caterpillar | 372.79 Bn | 344.49 Bn | 7.76 Bn |
| 2 | Amphenol | 207.98 Bn | 202.68 Bn | 3.55 Bn |
| 3 | Deere | 181.02 Bn | 189.78 Bn | 4.66 Bn |
| 4 | Eaton | 166.86 Bn | 164.09 Bn | 2.86 Bn |
| 5 | Parker-Hannifin | 120.45 Bn | 118.58 Bn | 2.25 Bn |
| 6 | Vertiv Holdings | 92.94 Bn | 83.56 Bn | 1.23 Bn |
| 7 | Emerson Electric | 86.56 Bn | 79.32 Bn | 2.66 Bn |
| 8 | 3M | 84.72 Bn | 66.18 Bn | 2.68 Bn |
| 9 | Illinois Tool Works | 73.32 Bn | 69.88 Bn | 1.90 Bn |
| 10 | TE Connectivity | 61.13 Bn | 56.42 Bn | 1.84 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 26, 2025 | 163.00 Mn |
| Sep 27, 2024 | 233.00 Mn |
| Sep 29, 2023 | 240.00 Mn |
| Sep 30, 2022 | 182.00 Mn |
| Sep 24, 2021 | 236.00 Mn |
| Sep 25, 2020 | 229.00 Mn |
| Sep 27, 2019 | 245.00 Mn |
| Sep 28, 2018 | 141.00 Mn |
| Sep 29, 2017 | 127.00 Mn |
| Sep 30, 2016 | 64.00 Mn |
| Sep 24, 2010 | 1.80 Bn |
| Jun 25, 2010 | 1.67 Bn |
| Mar 26, 2010 | 1.71 Bn |
| Sep 25, 2009 | 1.24 Bn |
| Jun 26, 2009 | 1.51 Bn |
API Access
TE Connectivity 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=accumulated-expenses&ticker=TEL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "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=accumulated-expenses&ticker=TEL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();