Terex (TEX) Total Liabilities (2009 - 2026)
Terex (TEX) reported Total Liabilities of $5.42 billion for Q2 2026, up 29.4% from $4.19 billion a year earlier and up 1.0% from the prior quarter.
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Analysis
Terex (TEX) Total Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025, Terex posted Total Liabilities of $4.04 billion, up 3.7% from FY2024.
- Total Liabilities has increased for four consecutive years, with a five-year compound annual growth rate of 13.9% (FY2020 to FY2025).
- By year, Total Liabilities came in at $3.9 billion in FY2024 (+100.6%), $1.94 billion in FY2023 (+0.3%), $1.94 billion in FY2022 (+10.4%) and $1.75 billion in FY2021 (-16.9%).
- The Q2 2026 figure ranks as the highest quarterly Total Liabilities in data going back to Q2 2009.
- Year over year, Total Liabilities has now increased in each of the last seven quarters, with growth averaging 62.4% over the last eight quarters.
- The high point for year-over-year Total Liabilities in five years was Q3 2025 (growth of 127.5%); the low point was Q4 2021 (a decline of 16.9%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $5.37 billion (Q1 2026), $4.04 billion (Q4 2025) and $4.15 billion (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 327.25 Bn | 298.95 Bn | 7.76 Bn | 83.22 Bn |
| 2 | Amphenol | 192.39 Bn | 186.97 Bn | 3.55 Bn | 29.19 Bn |
| 3 | Deere | 170.12 Bn | 138.21 Bn | 4.66 Bn | 79.61 Bn |
| 4 | Eaton | 146.40 Bn | 143.58 Bn | 2.86 Bn | 35.88 Bn |
| 5 | Parker-Hannifin | 120.34 Bn | 118.46 Bn | 2.25 Bn | 15.46 Bn |
| 6 | Emerson Electric | 88.61 Bn | 81.35 Bn | 2.66 Bn | 21.81 Bn |
| 7 | 3M | 87.42 Bn | 68.82 Bn | 2.68 Bn | 31.92 Bn |
| 8 | Illinois Tool Works | 77.69 Bn | 74.25 Bn | 1.90 Bn | 13.60 Bn |
| 9 | Vertiv Holdings | 76.36 Bn | 66.98 Bn | 1.23 Bn | 11.14 Bn |
| 10 | Terex | 5.76 Bn | 3.68 Bn | 444.00 Mn | 5.42 Bn |
Historic Data
Download Data
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 | 1.97 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 |
API Access
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_KEYimport 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();