Terex (TEX) EBITDA (2009 - 2026)
Terex's (TEX) quarterly EBITDA came in at $187.0 million in Q2 2026, up 44.96% on a YoY basis from $129.0 million in Q2 2025, and up 328.05% quarter-over-quarter from -$82.0 million in Q1 2026.
Terex (TEX) EBITDA (2009 - 2026) Analysis & Trends
Terex (TEX) has reported EBITDA for 18 consecutive years, with $187.0 million the latest figure, recorded in Q2 2026.
- For the quarter ending Q2 2026, EBITDA rose 44.96% year-over-year to $187.0 million; the trailing twelve-month figure through Jun 2026 stood at $382.0 million (up 2.41% YoY), and the FY2025 full-year result was $475.0 million, down 9.7% from the prior year.
- EBITDA grew to $187.0 million in Q2 2026 per TEX's latest filing, from -$82.0 million in the prior quarter.
- Across five years, EBITDA topped out at $209.9 million in Q2 2023 and bottomed at -$82.0 million in Q1 2026.
- Historically, EBITDA has averaged $120.1 million across 5 years, with a median of $125.5 million in 2024.
- The sharpest annual moves came in 2025 and 2026: EBITDA jumped 158.49% in 2025, then sank 218.84% in 2026.
- Over 5 years, EBITDA stood at $120.8 million in 2022, then dropped by 3.97% to $116.0 million in 2023, then tumbled by 54.31% to $53.0 million in 2024, then surged by 158.49% to $137.0 million in 2025, then jumped by 36.5% to $187.0 million in 2026.
- According to Business Quant data, EBITDA over the past three periods registered $187.0 million, -$82.0 million, and $137.0 million for Q2 2026, Q1 2026, and Q4 2025 respectively.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 371.58 Bn | 364.86 Bn | 7.76 Bn | 4.30 Bn |
| 2 | Amphenol | 204.28 Bn | 198.29 Bn | 3.55 Bn | 2.58 Bn |
| 3 | Deere | 189.58 Bn | 180.70 Bn | 12.32 Bn | 1.86 Bn |
| 4 | Eaton | 171.87 Bn | 171.22 Bn | 2.86 Bn | 1.39 Bn |
| 5 | Parker-Hannifin | 121.60 Bn | 121.11 Bn | 2.25 Bn | 1.37 Bn |
| 6 | Vertiv Holdings | 97.62 Bn | 94.51 Bn | 1.23 Bn | 637.90 Mn |
| 7 | 3M | 87.32 Bn | 84.04 Bn | 2.68 Bn | 984.00 Mn |
| 8 | Emerson Electric | 86.05 Bn | 83.88 Bn | 2.66 Bn | 1.31 Bn |
| 9 | Illinois Tool Works | 77.02 Bn | 76.18 Bn | 1.90 Bn | 1.15 Bn |
| 10 | Terex | 6.72 Bn | 6.31 Bn | 444.00 Mn | 187.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 187.00 Mn |
| Mar 31, 2026 | -82.00 Mn |
| Dec 31, 2025 | 137.00 Mn |
| Sep 30, 2025 | 140.00 Mn |
| Jun 30, 2025 | 129.00 Mn |
| Mar 31, 2025 | 69.00 Mn |
| Dec 31, 2024 | 53.00 Mn |
| Sep 30, 2024 | 122.00 Mn |
| Jun 30, 2024 | 193.00 Mn |
| Mar 31, 2024 | 158.00 Mn |
| Dec 31, 2023 | 116.00 Mn |
| Sep 30, 2023 | 163.00 Mn |
| Jun 30, 2023 | 209.90 Mn |
| Mar 31, 2023 | 147.70 Mn |
| Dec 31, 2022 | 120.80 Mn |
| Sep 30, 2022 | 120.80 Mn |
| Jun 30, 2022 | 103.90 Mn |
| Mar 31, 2022 | 74.50 Mn |
| Dec 31, 2021 | 69.80 Mn |
| Sep 30, 2021 | 74.20 Mn |
Terex EBITDA 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=ebitda&ticker=TEX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=TEX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();