Terex (TEX) Price to Earnings (2009 - 2026)
Terex's (TEX) quarterly Price to Earnings came in at 75.22 in Q2 2026, up 76.82% on a YoY basis from 42.54 in Q2 2025, and up 199.19% quarter-over-quarter from 75.83 in Q1 2026.
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Terex (TEX) Price to Earnings (2009 - 2026) Analysis & Trends
Terex (TEX) has reported Price to Earnings for 18 consecutive years, with 75.22 the latest figure, recorded in Q2 2026.
- For the quarter ending Q2 2026, Price to Earnings rose 76.82% year-over-year to 75.22; the trailing twelve-month figure through Jun 2026 stood at 55.53 (up 224.54% YoY), and the FY2025 full-year result was 15.89, up 73.48% from the prior year.
- Price to Earnings climbed to 75.22 in Q2 2026 per TEX's latest filing, from 75.83 in the prior quarter.
- Across five years, Price to Earnings topped out at 118.02 in Q1 2025 and bottomed at 1534.5 in Q4 2024.
- Historically, Price to Earnings has averaged 50.85 across 5 years, with a median of 31.93 in 2022.
- The sharpest annual moves came in 2024 and 2025: Price to Earnings plunged 5162.11% in 2024, then soared 196.81% in 2025.
- Over 5 years, Price to Earnings stood at 31.28 in 2022, then decreased by 3.08% to 30.31 in 2023, then slumped by 5162.11% to 1534.5 in 2024, then soared by 103.63% to 55.75 in 2025, then soared by 34.92% to 75.22 in 2026.
- According to Business Quant data, Price to Earnings over the past three periods registered 75.22, 75.83, and 55.75 for Q2 2026, Q1 2026, and Q4 2025 respectively.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Caterpillar | 371.58 Bn | 364.86 Bn | 7.76 Bn |
| 2 | Amphenol | 204.28 Bn | 198.29 Bn | 3.55 Bn |
| 3 | Deere | 189.58 Bn | 180.70 Bn | 12.32 Bn |
| 4 | Eaton | 171.87 Bn | 171.22 Bn | 2.86 Bn |
| 5 | Parker-Hannifin | 121.60 Bn | 121.11 Bn | 2.25 Bn |
| 6 | Vertiv Holdings | 97.62 Bn | 94.51 Bn | 1.23 Bn |
| 7 | 3M | 87.32 Bn | 84.04 Bn | 2.68 Bn |
| 8 | Emerson Electric | 86.05 Bn | 83.88 Bn | 2.66 Bn |
| 9 | Illinois Tool Works | 77.02 Bn | 76.18 Bn | 1.90 Bn |
| 10 | Terex | 6.72 Bn | 6.31 Bn | 444.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 75.22 |
| Mar 31, 2026 | -75.83 |
| Dec 31, 2025 | 55.75 |
| Sep 30, 2025 | 51.77 |
| Jun 30, 2025 | 42.54 |
| Mar 31, 2025 | 118.02 |
| Dec 31, 2024 | -1,534.50 |
| Sep 30, 2024 | 40.16 |
| Jun 30, 2024 | 26.02 |
| Mar 31, 2024 | 39.76 |
| Dec 31, 2023 | 30.31 |
| Sep 30, 2023 | 32.59 |
| Jun 30, 2023 | 25.30 |
| Mar 31, 2023 | 29.13 |
| Dec 31, 2022 | 31.28 |
| Sep 30, 2022 | 24.54 |
| Jun 30, 2022 | 25.04 |
| Mar 31, 2022 | 47.62 |
| Dec 31, 2021 | 52.10 |
| Sep 30, 2021 | 61.09 |
API Access
Terex Price to Earnings 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=price-to-earnings&ticker=TEX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-earnings", "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=price-to-earnings&ticker=TEX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();