Terex (TEX) EBT (2009 - 2026)
Terex's (TEX) quarterly EBT came in at $139.0 million in Q2 2026, up 56.18% on a YoY basis from $89.0 million in Q2 2025, and up 210.32% quarter-over-quarter from -$126.0 million in Q1 2026.
Terex (TEX) EBT (2009 - 2026) Analysis & Trends
Terex (TEX) has reported EBT for 18 consecutive years, with $139.0 million the latest figure, recorded in Q2 2026.
- For the quarter ending Q2 2026, EBT rose 56.18% year-over-year to $139.0 million; the trailing twelve-month figure through Jun 2026 stood at $190.0 million (down 10.38% YoY), and the FY2025 full-year result was $292.0 million, down 28.43% from the prior year.
- EBT advanced to $139.0 million in Q2 2026 per TEX's latest filing, from -$126.0 million in the prior quarter.
- Across five years, EBT topped out at $191.8 million in Q2 2023 and bottomed at -$126.0 million in Q1 2026.
- Historically, EBT has averaged $92.2 million across 5 years, with a median of $102.5 million in 2023.
- The sharpest annual moves came in 2025 and 2026: EBT jumped 4250.0% in 2025, then slumped 584.62% in 2026.
- Over 5 years, EBT stood at $106.2 million in 2022, then fell by 0.19% to $106.0 million in 2023, then plunged by 101.89% to -$2.0 million in 2024, then surged by 4250.0% to $83.0 million in 2025, then surged by 67.47% to $139.0 million in 2026.
- According to Business Quant data, EBT over the past three periods registered $139.0 million, -$126.0 million, and $83.0 million for Q2 2026, Q1 2026, and Q4 2025 respectively.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBT (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 371.58 Bn | 364.86 Bn | 7.76 Bn | 4.56 Bn |
| 2 | Amphenol | 204.28 Bn | 198.29 Bn | 3.55 Bn | 2.39 Bn |
| 3 | Deere | 189.58 Bn | 180.70 Bn | 12.32 Bn | 1.88 Bn |
| 4 | Eaton | 171.87 Bn | 171.22 Bn | 2.86 Bn | 1.14 Bn |
| 5 | Parker-Hannifin | 121.60 Bn | 121.11 Bn | 2.25 Bn | 1.34 Bn |
| 6 | Vertiv Holdings | 97.62 Bn | 94.51 Bn | 1.23 Bn | 620.00 Mn |
| 7 | 3M | 87.32 Bn | 84.04 Bn | 2.68 Bn | 1.12 Bn |
| 8 | Emerson Electric | 86.05 Bn | 83.88 Bn | 2.66 Bn | 916.00 Mn |
| 9 | Illinois Tool Works | 77.02 Bn | 76.18 Bn | 1.90 Bn | 1.08 Bn |
| 10 | Terex | 6.72 Bn | 6.31 Bn | 444.00 Mn | 139.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 139.00 Mn |
| Mar 31, 2026 | -126.00 Mn |
| Dec 31, 2025 | 83.00 Mn |
| Sep 30, 2025 | 94.00 Mn |
| Jun 30, 2025 | 89.00 Mn |
| Mar 31, 2025 | 26.00 Mn |
| Dec 31, 2024 | -2.00 Mn |
| Sep 30, 2024 | 99.00 Mn |
| Jun 30, 2024 | 174.00 Mn |
| Mar 31, 2024 | 137.00 Mn |
| Dec 31, 2023 | 106.00 Mn |
| Sep 30, 2023 | 149.00 Mn |
| Jun 30, 2023 | 191.80 Mn |
| Mar 31, 2023 | 133.20 Mn |
| Dec 31, 2022 | 106.20 Mn |
| Sep 30, 2022 | 107.40 Mn |
| Jun 30, 2022 | 89.20 Mn |
| Mar 31, 2022 | 64.20 Mn |
| Dec 31, 2021 | 68.30 Mn |
| Sep 30, 2021 | 61.40 Mn |
Terex EBT 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=ebt&ticker=TEX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebt", "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=ebt&ticker=TEX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();