TE Connectivity (TEL) Research & Development (2009 - 2026)
TE Connectivity's Research & Development was $250 million in fiscal Q4 2026 (quarter ended Sep 25, 2026), up 10.1% from $227 million a year earlier and up 8.7% from the prior quarter.
TE Connectivity (TEL) Research & Development (2009 - 2026) Analysis & Trends
For FY2026 (ended Sep 25, 2026), Research & Development at TE Connectivity came in at $942 million, up 13.6% from FY2025.
- Research & Development has now increased for three consecutive fiscal years, with a five-year compound annual growth rate of 6.8% (FY2021 to FY2026).
- In earlier fiscal years, Research & Development was $829 million in FY2025 (+11.9%), $741 million in FY2024 (+4.7%), $708 million in FY2023 (-1.4%) and $718 million in FY2022 (+6.1%).
- The fiscal Q4 2026 figure marks the highest quarterly Research & Development in data going back to fiscal Q2 2009.
- Compared with a year earlier, Research & Development has increased for ten straight quarters, with growth averaging 12.8% over the last eight quarters.
- The best year-over-year quarter for Research & Development over five years was fiscal Q1 2026 (growth of 19.7%); the worst was fiscal Q4 2023 (a decline of 2.8%).
- Per Business Quant data, TEL's Research & Development in the three fiscal quarters before Q4 2026 was $230 million (Q3 2026), $237 million (Q2 2026) and $225 million (Q1 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | R&D (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 268.42 Bn | 239.73 Bn | 7.35 Bn | 596.00 Mn |
| 2 | Amphenol | 200.18 Bn | 194.88 Bn | 4.02 Bn | - |
| 3 | Deere | 182.33 Bn | 150.42 Bn | 4.66 Bn | 567.00 Mn |
| 4 | Eaton | 139.45 Bn | 136.39 Bn | 3.11 Bn | 238.00 Mn |
| 5 | Parker-Hannifin | 120.96 Bn | 118.84 Bn | 2.26 Bn | - |
| 6 | 3M | 97.01 Bn | 78.45 Bn | 2.78 Bn | 304.00 Mn |
| 7 | Emerson Electric | 93.92 Bn | 86.65 Bn | 2.66 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 | - |
| 10 | TE Connectivity | 63.95 Bn | 59.09 Bn | 1.84 Bn | 230.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 26, 2026 | 230.00 Mn |
| Mar 27, 2026 | 237.00 Mn |
| Dec 26, 2025 | 225.00 Mn |
| Sep 26, 2025 | 227.00 Mn |
| Jun 27, 2025 | 211.00 Mn |
| Mar 28, 2025 | 203.00 Mn |
| Dec 27, 2024 | 188.00 Mn |
| Sep 27, 2024 | 195.00 Mn |
| Jun 28, 2024 | 189.00 Mn |
| Mar 29, 2024 | 184.00 Mn |
| Dec 29, 2023 | 173.00 Mn |
| Sep 29, 2023 | 174.00 Mn |
| Jun 30, 2023 | 176.00 Mn |
| Mar 31, 2023 | 185.00 Mn |
| Dec 30, 2022 | 173.00 Mn |
| Sep 30, 2022 | 179.00 Mn |
| Jun 24, 2022 | 179.00 Mn |
| Mar 25, 2022 | 185.00 Mn |
| Dec 24, 2021 | 175.00 Mn |
| Sep 24, 2021 | 173.00 Mn |
TE Connectivity Research & Development 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=research-and-development&ticker=TEL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "research-and-development", "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=research-and-development&ticker=TEL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();