TE Connectivity (TEL) Total Liabilities (2009 - 2026)
TE Connectivity's Total Liabilities was $12.82 billion in fiscal Q3 2026 (quarter ended Jun 26, 2026), up 2.7% from $12.49 billion a year earlier and up 3.0% from the prior quarter.
Powered by 
Analysis
TE Connectivity (TEL) Total Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025 (ended Sep 26, 2025), Total Liabilities at TE Connectivity came in at $12.5 billion, up 19.0% from FY2024.
- Total Liabilities has now increased for three consecutive fiscal years, with a five-year compound annual growth rate of 4.9% (FY2020 to FY2025).
- In earlier fiscal years, Total Liabilities was $10.5 billion in FY2024 (+3.3%), $10.16 billion in FY2023 (+1.8%), $9.98 billion in FY2022 (-7.8%) and $10.83 billion in FY2021 (+9.8%).
- The fiscal Q3 2026 figure marks the highest quarterly Total Liabilities in data going back to fiscal Q3 2009.
- Compared with a year earlier, Total Liabilities has increased for eight straight quarters, with growth averaging 11.5% over the last eight quarters.
- The best year-over-year quarter for Total Liabilities over five years was fiscal Q1 2026 (growth of 25.2%); the worst was fiscal Q4 2022 (a decline of 7.8%).
- Per Business Quant data, TEL's Total Liabilities in the three fiscal quarters before Q3 2026 was $12.45 billion (Q2 2026), $12.57 billion (Q1 2026) and $12.5 billion (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 376.87 Bn | 348.57 Bn | 7.76 Bn | 83.22 Bn |
| 2 | Amphenol | 208.65 Bn | 203.35 Bn | 3.55 Bn | 29.19 Bn |
| 3 | Deere | 185.97 Bn | 194.73 Bn | 4.66 Bn | 79.61 Bn |
| 4 | Eaton | 167.50 Bn | 164.73 Bn | 2.86 Bn | 35.88 Bn |
| 5 | Parker-Hannifin | 122.25 Bn | 120.39 Bn | 2.25 Bn | 15.46 Bn |
| 6 | Vertiv Holdings | 93.95 Bn | 84.57 Bn | 1.23 Bn | 11.14 Bn |
| 7 | Emerson Electric | 88.90 Bn | 81.65 Bn | 2.66 Bn | 21.81 Bn |
| 8 | 3M | 87.39 Bn | 68.85 Bn | 2.68 Bn | 31.92 Bn |
| 9 | Illinois Tool Works | 78.00 Bn | 74.56 Bn | 1.90 Bn | 13.60 Bn |
| 10 | TE Connectivity | 62.17 Bn | 57.46 Bn | 1.84 Bn | 12.82 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 26, 2026 | 12.82 Bn |
| Mar 27, 2026 | 12.45 Bn |
| Dec 26, 2025 | 12.57 Bn |
| Sep 26, 2025 | 12.50 Bn |
| Jun 27, 2025 | 12.49 Bn |
| Mar 28, 2025 | 11.57 Bn |
| Dec 27, 2024 | 10.03 Bn |
| Sep 27, 2024 | 10.50 Bn |
| Jun 28, 2024 | 10.27 Bn |
| Mar 29, 2024 | 10.38 Bn |
| Dec 29, 2023 | 9.94 Bn |
| Sep 29, 2023 | 10.16 Bn |
| Jun 30, 2023 | 10.35 Bn |
| Mar 31, 2023 | 10.47 Bn |
| Dec 30, 2022 | 9.99 Bn |
| Sep 30, 2022 | 9.98 Bn |
| Jun 24, 2022 | 10.91 Bn |
| Mar 25, 2022 | 11.01 Bn |
| Dec 24, 2021 | 10.39 Bn |
| Sep 24, 2021 | 10.83 Bn |
API Access
TE Connectivity Total 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-liabilities&ticker=TEL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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-liabilities&ticker=TEL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();