Terex (TEX) Total Current Liabilities (2009 - 2026)
Terex's Total Current Liabilities was $1.86 billion in Q2 2026, up 43.6% from $1.29 billion a year earlier and up 7.7% from the prior quarter.
Terex (TEX) Total Current Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025, Total Current Liabilities at Terex came in at $1.19 billion, up 10.6% from FY2024.
- Total Current Liabilities shows a five-year compound annual growth rate of 10.4% (FY2020 to FY2025).
- In earlier years, Total Current Liabilities was $1.07 billion in FY2024 (-4.1%), $1.12 billion in FY2023 (+12.1%), $998.6 million in FY2022 (+9.7%) and $909.9 million in FY2021 (+25.8%).
- The Q2 2026 figure marks the highest quarterly Total Current Liabilities since Q2 2014.
- Compared with a year earlier, Total Current Liabilities has increased for six straight quarters, with growth averaging 18.1% over the last eight quarters.
- The best year-over-year quarter for Total Current Liabilities over five years was Q1 2026 (growth of 49.5%); the worst was Q3 2024 (a decline of 6.2%).
- Per Business Quant data, TEX's Total Current Liabilities in the three quarters before Q2 2026 was $1.72 billion (Q1 2026), $1.19 billion (Q4 2025) and $1.28 billion (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 336.72 Bn | 308.42 Bn | 7.76 Bn | 39.79 Bn |
| 2 | Amphenol | 197.16 Bn | 191.74 Bn | 3.55 Bn | 9.44 Bn |
| 3 | Deere | 172.48 Bn | 140.57 Bn | 4.66 Bn | - |
| 4 | Eaton | 150.17 Bn | 147.36 Bn | 2.86 Bn | 11.91 Bn |
| 5 | Parker-Hannifin | 120.72 Bn | 118.84 Bn | 2.25 Bn | 6.10 Bn |
| 6 | Emerson Electric | 89.56 Bn | 82.30 Bn | 2.66 Bn | 10.77 Bn |
| 7 | 3M | 89.32 Bn | 70.72 Bn | 2.68 Bn | 11.38 Bn |
| 8 | Vertiv Holdings | 79.64 Bn | 70.26 Bn | 1.23 Bn | 7.24 Bn |
| 9 | Illinois Tool Works | 78.13 Bn | 74.68 Bn | 1.90 Bn | 5.95 Bn |
| 10 | Terex | 5.97 Bn | 3.89 Bn | 444.00 Mn | 1.86 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.86 Bn |
| Mar 31, 2026 | 1.72 Bn |
| Dec 31, 2025 | 1.19 Bn |
| Sep 30, 2025 | 1.28 Bn |
| Jun 30, 2025 | 1.29 Bn |
| Mar 31, 2025 | 1.15 Bn |
| Dec 31, 2024 | 1.07 Bn |
| Sep 30, 2024 | 996.00 Mn |
| Jun 30, 2024 | 1.09 Bn |
| Mar 31, 2024 | 1.11 Bn |
| Dec 31, 2023 | 1.12 Bn |
| Sep 30, 2023 | 1.06 Bn |
| Jun 30, 2023 | 1.07 Bn |
| Mar 31, 2023 | 1.05 Bn |
| Dec 31, 2022 | 998.60 Mn |
| Sep 30, 2022 | 952.70 Mn |
| Jun 30, 2022 | 955.00 Mn |
| Mar 31, 2022 | 919.50 Mn |
| Dec 31, 2021 | 909.90 Mn |
| Sep 30, 2021 | 939.80 Mn |
Terex 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=TEX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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-current-liabilities&ticker=TEX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();