Terex (TEX) Long-Term Debt Issuances (2009 - 2026)
Terex (TEX) posted Long-Term Debt Issuances of $35 million for Q2 2026, up 34.6% from $26 million a year earlier but down 85.1% from the prior quarter.
Terex (TEX) Long-Term Debt Issuances (2009 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Long-Term Debt Issuances at Terex was $280 million, down 87.1% year-over-year; for FY2025, it was $97 million, down 95.6% from FY2024.
- Annual Long-Term Debt Issuances shows a five-year compound annual growth rate of -10.6% (FY2020 to FY2025).
- In prior years, Terex's Long-Term Debt Issuances was $2.22 billion in FY2024 (+812.3%), $243 million in FY2023 (-24.3%), $321 million in FY2022 (-46.5%) and $600.1 million in FY2021 (+253.0%).
- Quarterly Long-Term Debt Issuances has run from a low of $300,000 in Q3 2023 to a high of $2.08 billion in Q4 2024 over five years.
- On a year-over-year basis, Long-Term Debt Issuances increased in four of the last six quarters, with growth averaging 136.3%.
- The strongest year-over-year quarter for Long-Term Debt Issuances in the past five years was Q2 2025, with growth of 550.0%; the weakest was Q4 2025, with a decline of 99.9%.
- According to Business Quant data, Long-Term Debt Issuances for the three prior quarters was $235 million (Q1 2026), $2 million (Q4 2025) and $8 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Issuance (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 333.79 Bn | 305.49 Bn | 7.76 Bn | 3.46 Bn |
| 2 | Amphenol | 197.60 Bn | 192.18 Bn | 3.55 Bn | - |
| 3 | Deere | 169.21 Bn | 137.30 Bn | 4.66 Bn | 1.92 Bn |
| 4 | Eaton | 152.39 Bn | 149.57 Bn | 2.86 Bn | - |
| 5 | Parker-Hannifin | 122.22 Bn | 120.34 Bn | 2.25 Bn | 11.00 Mn |
| 6 | Emerson Electric | 89.77 Bn | 82.51 Bn | 2.66 Bn | - |
| 7 | 3M | 84.26 Bn | 65.66 Bn | 2.68 Bn | - |
| 8 | Vertiv Holdings | 79.29 Bn | 69.91 Bn | 1.23 Bn | - |
| 9 | Illinois Tool Works | 77.45 Bn | 74.01 Bn | 1.90 Bn | - |
| 10 | Terex | 5.76 Bn | 3.68 Bn | 444.00 Mn | 35.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 35.00 Mn |
| Mar 31, 2026 | 235.00 Mn |
| Dec 31, 2025 | 2.00 Mn |
| Sep 30, 2025 | 8.00 Mn |
| Jun 30, 2025 | 26.00 Mn |
| Mar 31, 2025 | 61.00 Mn |
| Dec 31, 2024 | 2.08 Bn |
| Sep 30, 2024 | 4.00 Mn |
| Jun 30, 2024 | 4.00 Mn |
| Mar 31, 2024 | 127.00 Mn |
| Dec 31, 2023 | 55.00 Mn |
| Sep 30, 2023 | 300,000.00 |
| Jun 30, 2023 | 68.90 Mn |
| Mar 31, 2023 | 118.80 Mn |
| Dec 31, 2022 | 66.70 Mn |
| Sep 30, 2022 | 69.20 Mn |
| Jun 30, 2022 | 120.10 Mn |
| Mar 31, 2022 | 65.00 Mn |
| Jun 30, 2021 | 600.10 Mn |
| Mar 31, 2020 | 170.00 Mn |
Terex Long-Term Debt Issuances 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=long-term-debt-issuances&ticker=TEX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-issuances", "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=long-term-debt-issuances&ticker=TEX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();