TE Connectivity (TEL) Total Current Liabilities (2009 - 2026)
TE Connectivity's Total Current Liabilities came in at $4.66 billion for fiscal Q3 2026 (quarter ended Jun 26, 2026), down 6.6% from $4.99 billion a year earlier but up 6.8% from the prior quarter.
TE Connectivity (TEL) Total Current Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025 (ended Sep 26, 2025), TE Connectivity's Total Current Liabilities was $5.12 billion, up 7.9% from FY2024.
- Total Current Liabilities carries a five-year compound annual growth rate of 6.8% (FY2020 to FY2025).
- Going back by fiscal year, Total Current Liabilities was $4.75 billion in FY2024 (+6.3%), $4.46 billion in FY2023 (-3.6%), $4.63 billion in FY2022 (-0.5%) and $4.66 billion in FY2021 (+26.2%).
- The five-year range for quarterly Total Current Liabilities is $4.01 billion (fiscal Q1 2024) to $6 billion (fiscal Q2 2025).
- Year-over-year, Total Current Liabilities increased in five of the last eight quarters, with growth averaging 2.4%.
- The fastest year-over-year change in Total Current Liabilities over five years came in fiscal Q4 2021 (growth of 26.2%), and the weakest in fiscal Q2 2026 (a decline of 27.2%).
- Business Quant data shows TEL's Total Current Liabilities at $4.37 billion (Q2 2026), $5.07 billion (Q1 2026) and $5.12 billion (Q4 2025) in the three fiscal quarters before Q3 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 333.79 Bn | 305.49 Bn | 7.76 Bn | 39.79 Bn |
| 2 | Amphenol | 197.60 Bn | 192.18 Bn | 3.55 Bn | 9.44 Bn |
| 3 | Deere | 169.21 Bn | 137.30 Bn | 4.66 Bn | - |
| 4 | Eaton | 152.39 Bn | 149.57 Bn | 2.86 Bn | 11.91 Bn |
| 5 | Parker-Hannifin | 122.22 Bn | 120.34 Bn | 2.25 Bn | 6.10 Bn |
| 6 | Emerson Electric | 89.77 Bn | 82.51 Bn | 2.66 Bn | 10.77 Bn |
| 7 | 3M | 84.26 Bn | 65.66 Bn | 2.68 Bn | 11.38 Bn |
| 8 | Vertiv Holdings | 79.29 Bn | 69.91 Bn | 1.23 Bn | 7.24 Bn |
| 9 | Illinois Tool Works | 77.45 Bn | 74.01 Bn | 1.90 Bn | 5.95 Bn |
| 10 | TE Connectivity | 61.84 Bn | 56.98 Bn | 1.84 Bn | 4.66 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 26, 2026 | 4.66 Bn |
| Mar 27, 2026 | 4.37 Bn |
| Dec 26, 2025 | 5.07 Bn |
| Sep 26, 2025 | 5.12 Bn |
| Jun 27, 2025 | 4.99 Bn |
| Mar 28, 2025 | 6.00 Bn |
| Dec 27, 2024 | 4.47 Bn |
| Sep 27, 2024 | 4.75 Bn |
| Jun 28, 2024 | 5.12 Bn |
| Mar 29, 2024 | 5.16 Bn |
| Dec 29, 2023 | 4.01 Bn |
| Sep 29, 2023 | 4.46 Bn |
| Jun 30, 2023 | 4.26 Bn |
| Mar 31, 2023 | 4.39 Bn |
| Dec 30, 2022 | 4.42 Bn |
| Sep 30, 2022 | 4.63 Bn |
| Jun 24, 2022 | 5.06 Bn |
| Mar 25, 2022 | 5.05 Bn |
| Dec 24, 2021 | 4.27 Bn |
| Sep 24, 2021 | 4.66 Bn |
TE Connectivity Total 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=total-current-liabilities&ticker=TEL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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=total-current-liabilities&ticker=TEL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();