Terex (TEX) Total Liabilities (2009 - 2026)
Terex's (TEX) quarterly Total Liabilities came in at $5.4 billion in Q2 2026, up 29.42% on a YoY basis from $4.2 billion in Q2 2025, and up 0.99% quarter-over-quarter from $5.4 billion in Q1 2026.
Terex (TEX) Total Liabilities (2009 - 2026) Analysis & Trends
Terex (TEX) has reported Total Liabilities for 18 consecutive years, with $5.4 billion the latest figure, recorded in Q2 2026.
- For the quarter ending Q2 2026, Total Liabilities rose 29.42% year-over-year to $5.4 billion; the trailing twelve-month figure through Jun 2026 stood at $5.4 billion (up 29.42% YoY), and the FY2025 full-year result was $4.0 billion, up 3.75% from the prior year.
- Total Liabilities grew to $5.4 billion in Q2 2026 per TEX's latest filing, from $5.4 billion in the prior quarter.
- Across five years, Total Liabilities topped out at $5.4 billion in Q2 2026 and bottomed at $1.8 billion in Q3 2024.
- Historically, Total Liabilities has averaged $2.9 billion across 5 years, with a median of $2.0 billion in 2023.
- The sharpest annual moves came in 2022 and 2025: Total Liabilities dropped 9.59% in 2022, then surged 127.47% in 2025.
- Over 5 years, Total Liabilities stood at $1.9 billion in 2022, then rose by 0.31% to $1.9 billion in 2023, then surged by 100.62% to $3.9 billion in 2024, then climbed by 3.75% to $4.0 billion in 2025, then surged by 34.0% to $5.4 billion in 2026.
- According to Business Quant data, Total Liabilities over the past three periods registered $5.4 billion, $5.4 billion, and $4.0 billion for Q2 2026, Q1 2026, and Q4 2025 respectively.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 371.58 Bn | 364.86 Bn | 7.76 Bn | 83.22 Bn |
| 2 | Amphenol | 204.28 Bn | 198.29 Bn | 3.55 Bn | 29.18 Bn |
| 3 | Deere | 189.58 Bn | 180.70 Bn | 12.32 Bn | 79.57 Bn |
| 4 | Eaton | 171.87 Bn | 171.22 Bn | 2.86 Bn | 35.88 Bn |
| 5 | Parker-Hannifin | 121.60 Bn | 121.11 Bn | 2.25 Bn | 15.46 Bn |
| 6 | Vertiv Holdings | 97.62 Bn | 94.51 Bn | 1.23 Bn | 11.14 Bn |
| 7 | 3M | 87.32 Bn | 84.04 Bn | 2.68 Bn | 31.92 Bn |
| 8 | Emerson Electric | 86.05 Bn | 83.88 Bn | 2.66 Bn | 21.81 Bn |
| 9 | Illinois Tool Works | 77.02 Bn | 76.18 Bn | 1.90 Bn | 13.60 Bn |
| 10 | Terex | 6.72 Bn | 6.31 Bn | 444.00 Mn | 5.42 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 5.42 Bn |
| Mar 31, 2026 | 5.37 Bn |
| Dec 31, 2025 | 4.04 Bn |
| Sep 30, 2025 | 4.15 Bn |
| Jun 30, 2025 | 4.19 Bn |
| Mar 31, 2025 | 4.00 Bn |
| Dec 31, 2024 | 3.90 Bn |
| Sep 30, 2024 | 1.82 Bn |
| Jun 30, 2024 | 1.96 Bn |
| Mar 31, 2024 | 2.03 Bn |
| Dec 31, 2023 | 1.94 Bn |
| Sep 30, 2023 | 1.96 Bn |
| Jun 30, 2023 | 1.98 Bn |
| Mar 31, 2023 | 1.99 Bn |
| Dec 31, 2022 | 1.94 Bn |
| Sep 30, 2022 | 1.94 Bn |
| Jun 30, 2022 | 1.94 Bn |
| Mar 31, 2022 | 1.83 Bn |
| Dec 31, 2021 | 1.75 Bn |
| Sep 30, 2021 | 2.02 Bn |
Terex 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=TEX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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-liabilities&ticker=TEX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();