Terex (TEX) Long-Term Debt Repayments (2009 - 2026)
Terex (TEX) posted Long-Term Debt Repayments of $98 million for Q2 2026, up 326.1% from $23 million a year earlier and up 40.0% from the prior quarter.
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Analysis
Terex (TEX) Long-Term Debt Repayments (2009 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Long-Term Debt Repayments at Terex was $188 million, down 12.6% year-over-year; for FY2025, it came in at $104 million, down 53.2% from FY2024.
- Annual Long-Term Debt Repayments shows a five-year compound annual growth rate of -10.0% (FY2020 to FY2025).
- In prior years, Terex's Long-Term Debt Repayments was $222 million in FY2024 (-44.8%), $402 million in FY2023 (+79.5%), $224 million in FY2022 (-79.7%) and $1.1 billion in FY2021 (+527.0%).
- The Q2 2026 figure stands as the highest quarterly Long-Term Debt Repayments since Q4 2023.
- On a year-over-year basis, Long-Term Debt Repayments increased in four of the last eight quarters, with growth averaging 30.5%.
- The strongest year-over-year quarter for Long-Term Debt Repayments in the past five years was Q2 2026, with growth of 326.1%; the weakest was Q2 2022, with a decline of 95.2%.
- According to Business Quant data, Long-Term Debt Repayments for the three prior quarters was $70 million (Q1 2026), $12 million (Q4 2025) and $8 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 335.85 Bn | 307.55 Bn | 7.76 Bn | 1.54 Bn |
| 2 | Amphenol | 197.02 Bn | 191.60 Bn | 3.55 Bn | 1.19 Bn |
| 3 | Deere | 172.04 Bn | 140.13 Bn | 4.66 Bn | 2.40 Bn |
| 4 | Eaton | 149.56 Bn | 146.75 Bn | 2.86 Bn | 74.00 Mn |
| 5 | Parker-Hannifin | 120.29 Bn | 118.41 Bn | 2.25 Bn | 10.00 Mn |
| 6 | Emerson Electric | 89.01 Bn | 81.75 Bn | 2.66 Bn | 1.42 Bn |
| 7 | 3M | 88.54 Bn | 69.94 Bn | 2.68 Bn | - |
| 8 | Vertiv Holdings | 79.27 Bn | 69.89 Bn | 1.23 Bn | - |
| 9 | Illinois Tool Works | 78.05 Bn | 74.60 Bn | 1.90 Bn | - |
| 10 | Terex | 5.95 Bn | 3.87 Bn | 444.00 Mn | 98.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 98.00 Mn |
| Mar 31, 2026 | 70.00 Mn |
| Dec 31, 2025 | 12.00 Mn |
| Sep 30, 2025 | 8.00 Mn |
| Jun 30, 2025 | 23.00 Mn |
| Mar 31, 2025 | 61.00 Mn |
| Dec 31, 2024 | 87.00 Mn |
| Sep 30, 2024 | 44.00 Mn |
| Jun 30, 2024 | 63.00 Mn |
| Mar 31, 2024 | 28.00 Mn |
| Dec 31, 2023 | 144.00 Mn |
| Sep 30, 2023 | 28.20 Mn |
| Jun 30, 2023 | 111.10 Mn |
| Mar 31, 2023 | 118.70 Mn |
| Dec 31, 2022 | 120.20 Mn |
| Sep 30, 2022 | 70.80 Mn |
| Jun 30, 2022 | 33.00 Mn |
| Dec 31, 2021 | 221.00 Mn |
| Sep 30, 2021 | 1.00 Mn |
| Jun 30, 2021 | 684.00 Mn |
API Access
Terex Long-Term Debt Repayments 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-repayments&ticker=TEX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-repayments", "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-repayments&ticker=TEX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();