TE Connectivity (TEL) Operating Expenses (2009 - 2026)
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Analysis
TE Connectivity (TEL) Operating Expenses (2009 - 2026) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 268.42 Bn | 239.73 Bn | 7.35 Bn | 16.47 Bn |
| 2 | Amphenol | 200.18 Bn | 194.88 Bn | 4.02 Bn | 995.40 Mn |
| 3 | Deere | 182.33 Bn | 150.42 Bn | 4.66 Bn | 10.73 Bn |
| 4 | Eaton | 139.45 Bn | 136.39 Bn | 3.11 Bn | 1.52 Bn |
| 5 | Parker-Hannifin | 120.96 Bn | 118.84 Bn | 2.26 Bn | 1.07 Bn |
| 6 | 3M | 97.01 Bn | 78.45 Bn | 2.78 Bn | 5.03 Bn |
| 7 | Emerson Electric | 93.92 Bn | 86.65 Bn | 2.66 Bn | 1.34 Bn |
| 8 | Illinois Tool Works | 80.83 Bn | 77.51 Bn | 1.91 Bn | - |
| 9 | Vertiv Holdings | 75.75 Bn | 64.60 Bn | 1.64 Bn | 557.10 Mn |
| 10 | TE Connectivity | 63.95 Bn | 59.09 Bn | 1.84 Bn | 845.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 26, 2026 | 845.00 Mn |
| Mar 27, 2026 | 776.00 Mn |
| Dec 26, 2025 | 773.00 Mn |
| Sep 26, 2025 | 737.00 Mn |
| Jun 27, 2025 | 712.00 Mn |
| Mar 28, 2025 | 701.00 Mn |
| Dec 27, 2024 | 658.00 Mn |
| Sep 27, 2024 | 715.00 Mn |
| Jun 28, 2024 | 636.00 Mn |
| Mar 29, 2024 | 660.00 Mn |
| Dec 29, 2023 | 606.00 Mn |
| Sep 29, 2023 | 638.00 Mn |
| Jun 30, 2023 | 649.00 Mn |
| Mar 31, 2023 | 682.00 Mn |
| Dec 30, 2022 | 669.00 Mn |
| Sep 30, 2022 | 659.00 Mn |
| Jun 24, 2022 | 598.00 Mn |
| Mar 25, 2022 | 623.00 Mn |
| Dec 24, 2021 | 559.00 Mn |
| Sep 24, 2021 | 595.00 Mn |
API Access
TE Connectivity Operating 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=operating-expenses&ticker=TEL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-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=operating-expenses&ticker=TEL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();