TE Connectivity (TEL) Total Current Liabilities (2009 - 2026)
TE Connectivity's Total Current Liabilities came in at $5.36 billion for fiscal Q4 2026 (quarter ended Sep 25, 2026), up 4.8% from $5.12 billion a year earlier and up 15.1% from the prior quarter.
TE Connectivity (TEL) Total Current Liabilities (2009 - 2026) Analysis & Trends
Going back to fiscal Q3 2009, TE Connectivity's Total Current Liabilities data covers 68 quarters.
- Total Current Liabilities has increased in each of the last three fiscal years, with a five-year compound annual growth rate of 2.9% (FY2021 to FY2026).
- Going back by fiscal year, Total Current Liabilities was $5.12 billion in FY2025 (+7.9%), $4.75 billion in FY2024 (+6.3%), $4.46 billion in FY2023 (-3.6%) and $4.63 billion in FY2022 (-0.5%).
- The fiscal Q4 2026 figure represents the highest quarterly Total Current Liabilities since fiscal Q2 2025.
- Year-over-year, Total Current Liabilities increased in five of the last eight quarters, with growth averaging 2.2%.
- The fastest year-over-year change in Total Current Liabilities over five years came in fiscal Q3 2024 (growth of 20.2%), and the weakest in fiscal Q2 2026 (a decline of 27.2%).
- Business Quant data shows TEL's Total Current Liabilities at $4.66 billion (Q3 2026), $4.37 billion (Q2 2026) and $5.07 billion (Q1 2026) in the three fiscal quarters before Q4 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 268.42 Bn | 239.73 Bn | 7.35 Bn | 40.67 Bn |
| 2 | Amphenol | 200.18 Bn | 194.88 Bn | 4.02 Bn | 10.04 Bn |
| 3 | Deere | 182.33 Bn | 150.42 Bn | 4.66 Bn | - |
| 4 | Eaton | 139.45 Bn | 136.39 Bn | 3.11 Bn | 12.99 Bn |
| 5 | Parker-Hannifin | 120.96 Bn | 118.84 Bn | 2.26 Bn | 9.22 Bn |
| 6 | 3M | 97.01 Bn | 78.45 Bn | 2.78 Bn | 11.87 Bn |
| 7 | Emerson Electric | 93.92 Bn | 86.65 Bn | 2.66 Bn | 10.77 Bn |
| 8 | Illinois Tool Works | 80.83 Bn | 77.51 Bn | 1.91 Bn | 5.10 Bn |
| 9 | Vertiv Holdings | 75.75 Bn | 64.60 Bn | 1.64 Bn | 8.71 Bn |
| 10 | TE Connectivity | 63.95 Bn | 59.09 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();