Terex (TEX) Exchange Rate Effect (2009 - 2026)
Terex's (TEX) quarterly Exchange Rate Effect came in at -$4.0 million in Q1 2026, down 157.14% on a YoY basis from $7.0 million in Q1 2025, and down 157.14% quarter-over-quarter from $7.0 million in Q4 2025.
Terex (TEX) Exchange Rate Effect (2009 - 2026) Analysis & Trends
Terex (TEX) has reported Exchange Rate Effect for 18 consecutive years, with -$4.0 million the latest figure, recorded in Q1 2026.
- For the quarter ending Q1 2026, Exchange Rate Effect fell 157.14% year-over-year to -$4.0 million; the trailing twelve-month figure through Jun 2026 stood at $4.0 million (down 77.78% YoY), and the FY2025 full-year result was $35.0 million, up 284.21% from the prior year.
- Exchange Rate Effect slipped to -$4.0 million in Q1 2026 per TEX's latest filing, from $7.0 million in the prior quarter.
- Across five years, Exchange Rate Effect topped out at $20.0 million in Q2 2025 and bottomed at -$19.0 million in Q4 2024.
- Historically, Exchange Rate Effect has averaged $411764.7 across 5 years, with a median of $1.0 million in 2025.
- The widest YoY moves for Exchange Rate Effect: up 3425.0% in 2022, down 471.79% in 2022.
- Over 5 years, Exchange Rate Effect stood at $13.3 million in 2022, then gained by 20.3% to $16.0 million in 2023, then tumbled by 218.75% to -$19.0 million in 2024, then jumped by 136.84% to $7.0 million in 2025, then plunged by 157.14% to -$4.0 million in 2026.
- According to Business Quant data, Exchange Rate Effect over the past three periods registered -$4.0 million, $7.0 million, and $1.0 million for Q1 2026, Q4 2025, and Q3 2025 respectively.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | FX Effect (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 371.58 Bn | 364.86 Bn | 7.76 Bn | 20.00 Mn |
| 2 | Amphenol | 204.28 Bn | 198.29 Bn | 3.55 Bn | 30.10 Mn |
| 3 | Deere | 189.58 Bn | 180.70 Bn | 12.32 Bn | -74.00 Mn |
| 4 | Eaton | 171.87 Bn | 171.22 Bn | 2.86 Bn | -1.00 Mn |
| 5 | Parker-Hannifin | 121.60 Bn | 121.11 Bn | 2.25 Bn | 4.00 Mn |
| 6 | Vertiv Holdings | 97.62 Bn | 94.51 Bn | 1.23 Bn | 3.50 Mn |
| 7 | 3M | 87.32 Bn | 84.04 Bn | 2.68 Bn | 8.00 Mn |
| 8 | Emerson Electric | 86.05 Bn | 83.88 Bn | 2.66 Bn | -12.00 Mn |
| 9 | Illinois Tool Works | 77.02 Bn | 76.18 Bn | 1.90 Bn | 6.00 Mn |
| 10 | Terex | 6.72 Bn | 6.31 Bn | 444.00 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | -4.00 Mn |
| Dec 31, 2025 | 7.00 Mn |
| Sep 30, 2025 | 1.00 Mn |
| Jun 30, 2025 | 20.00 Mn |
| Mar 31, 2025 | 7.00 Mn |
| Dec 31, 2024 | -19.00 Mn |
| Sep 30, 2024 | 10.00 Mn |
| Jun 30, 2024 | -3.00 Mn |
| Mar 31, 2024 | -7.00 Mn |
| Dec 31, 2023 | 16.00 Mn |
| Sep 30, 2023 | -9.80 Mn |
| Jun 30, 2023 | 1.40 Mn |
| Mar 31, 2023 | 2.40 Mn |
| Dec 31, 2022 | 13.30 Mn |
| Sep 30, 2022 | -12.20 Mn |
| Jun 30, 2022 | -14.50 Mn |
| Mar 31, 2022 | -1.60 Mn |
| Dec 31, 2021 | -400,000.00 |
| Sep 30, 2021 | -8.40 Mn |
| Jun 30, 2021 | 3.90 Mn |
Terex Exchange Rate Effect 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=exchange-rate-effect&ticker=TEX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "exchange-rate-effect", "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=exchange-rate-effect&ticker=TEX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();