Terex (TEX) Total Non-Current Liabilities (2009 - 2026)
Terex's Total Non-Current Liabilities was $5.12 billion in Q2 2026, up 32.2% from $3.88 billion a year earlier and up 1.1% from the prior quarter.
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Analysis
Terex (TEX) Total Non-Current Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025, Total Non-Current Liabilities at Terex came in at $3.79 billion, up 3.8% from FY2024.
- Total Non-Current Liabilities shows a five-year compound annual growth rate of 15.0% (FY2020 to FY2025).
- In earlier years, Total Non-Current Liabilities was $3.65 billion in FY2024 (+110.1%), $1.74 billion in FY2023 (-1.9%), $1.77 billion in FY2022 (+12.2%) and $1.58 billion in FY2021 (-16.4%).
- The Q2 2026 figure marks the highest quarterly Total Non-Current Liabilities in data going back to Q2 2009.
- Compared with a year earlier, Total Non-Current Liabilities has increased for seven straight quarters, with growth averaging 66.6% over the last eight quarters.
- The best year-over-year quarter for Total Non-Current Liabilities over five years was Q3 2025 (growth of 138.0%); the worst was Q4 2021 (a decline of 16.4%).
- Per Business Quant data, TEX's Total Non-Current Liabilities in the three quarters before Q2 2026 was $5.07 billion (Q1 2026), $3.79 billion (Q4 2025) and $3.86 billion (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 335.88 Bn | 307.58 Bn | 7.76 Bn | 75.57 Bn |
| 2 | Amphenol | 196.00 Bn | 190.58 Bn | 3.55 Bn | 28.16 Bn |
| 3 | Deere | 171.07 Bn | 139.17 Bn | 4.66 Bn | - |
| 4 | Eaton | 148.89 Bn | 146.07 Bn | 2.86 Bn | 23.97 Bn |
| 5 | Parker-Hannifin | 119.94 Bn | 118.07 Bn | 2.25 Bn | 14.72 Bn |
| 6 | Emerson Electric | 89.72 Bn | 82.45 Bn | 2.66 Bn | 18.30 Bn |
| 7 | 3M | 89.55 Bn | 70.95 Bn | 2.68 Bn | 23.79 Bn |
| 8 | Vertiv Holdings | 79.11 Bn | 69.73 Bn | 1.23 Bn | 10.73 Bn |
| 9 | Illinois Tool Works | 78.29 Bn | 74.85 Bn | 1.90 Bn | 7.65 Bn |
| 10 | Terex | 5.98 Bn | 3.90 Bn | 444.00 Mn | 5.12 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 5.12 Bn |
| Mar 31, 2026 | 5.07 Bn |
| Dec 31, 2025 | 3.79 Bn |
| Sep 30, 2025 | 3.86 Bn |
| Jun 30, 2025 | 3.88 Bn |
| Mar 31, 2025 | 3.74 Bn |
| Dec 31, 2024 | 3.65 Bn |
| Sep 30, 2024 | 1.62 Bn |
| Jun 30, 2024 | 1.75 Bn |
| Mar 31, 2024 | 1.83 Bn |
| Dec 31, 2023 | 1.74 Bn |
| Sep 30, 2023 | 1.86 Bn |
| Jun 30, 2023 | 1.81 Bn |
| Mar 31, 2023 | 1.83 Bn |
| Dec 31, 2022 | 1.77 Bn |
| Sep 30, 2022 | 1.78 Bn |
| Jun 30, 2022 | 1.78 Bn |
| Mar 31, 2022 | 1.66 Bn |
| Dec 31, 2021 | 1.58 Bn |
| Sep 30, 2021 | 1.83 Bn |
API Access
Terex Total 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=total-non-current-liabilities&ticker=TEX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "ticker": "TEX", "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-non-current-liabilities&ticker=TEX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();