TE Connectivity (TEL) Other Non-Current Liabilities (2009 - 2026)
TE Connectivity's Other Non-Current Liabilities was $1.25 billion in fiscal Q3 2026 (quarter ended Jun 26, 2026), up 20.3% from $1.04 billion a year earlier and up 11.5% from the prior quarter.
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Analysis
TE Connectivity (TEL) Other Non-Current Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025 (ended Sep 26, 2025), Other Non-Current Liabilities at TE Connectivity came in at $1.01 billion, up 16.1% from FY2024.
- Other Non-Current Liabilities has now increased for three consecutive fiscal years, with a five-year compound annual growth rate of 2.9% (FY2020 to FY2025).
- In earlier fiscal years, Other Non-Current Liabilities was $870 million in FY2024 (+10.5%), $787 million in FY2023 (+9.6%), $718 million in FY2022 (-15.2%) and $847 million in FY2021 (-3.1%).
- The fiscal Q3 2026 figure marks the highest quarterly Other Non-Current Liabilities in data going back to fiscal Q3 2009.
- Compared with a year earlier, Other Non-Current Liabilities has increased for five straight quarters, with growth averaging 17.7% over the last eight quarters.
- The best year-over-year quarter for Other Non-Current Liabilities over five years was fiscal Q2 2026 (growth of 43.5%); the worst was fiscal Q1 2025 (a decline of 15.4%).
- Per Business Quant data, TEL's Other Non-Current Liabilities in the three fiscal quarters before Q3 2026 was $1.13 billion (Q2 2026), $1.09 billion (Q1 2026) and $1.01 billion (Q4 2025).
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 |
|---|---|
| Jun 26, 2026 | 1.25 Bn |
| Mar 27, 2026 | 1.13 Bn |
| Dec 26, 2025 | 1.09 Bn |
| Sep 26, 2025 | 1.01 Bn |
| Jun 27, 2025 | 1.04 Bn |
| Mar 28, 2025 | 784.00 Mn |
| Dec 27, 2024 | 773.00 Mn |
| Sep 27, 2024 | 870.00 Mn |
| Jun 28, 2024 | 781.00 Mn |
| Mar 29, 2024 | 846.00 Mn |
| Dec 29, 2023 | 914.00 Mn |
| Sep 29, 2023 | 787.00 Mn |
| Jun 30, 2023 | 791.00 Mn |
| Mar 31, 2023 | 782.00 Mn |
| Dec 30, 2022 | 792.00 Mn |
| Sep 30, 2022 | 718.00 Mn |
| Jun 24, 2022 | 771.00 Mn |
| Mar 25, 2022 | 809.00 Mn |
| Dec 24, 2021 | 846.00 Mn |
| Sep 24, 2021 | 847.00 Mn |
API Access
TE Connectivity Other Non-Current Liabilities 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-non-current-liabilities&ticker=TEL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-non-current-liabilities", "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-non-current-liabilities&ticker=TEL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();