Terex (TEX) EV to CFO (2009 - 2026)
Terex's (TEX) quarterly EV to CFO came in at 61.46 in Q2 2026, up 133.15% on a YoY basis from 26.36 in Q2 2025, and up 129.97% quarter-over-quarter from 205.07 in Q1 2026.
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Analysis
Terex (TEX) EV to CFO (2009 - 2026) Analysis & Trends
Terex (TEX) has reported EV to CFO for 18 consecutive years, with 61.46 the latest figure, recorded in Q2 2026.
- For the quarter ending Q2 2026, EV to CFO rose 133.15% year-over-year to 61.46; the trailing twelve-month figure through Jun 2026 stood at 17.25 (up 139.97% YoY), and the FY2025 full-year result was 6.23, down 24.27% from the prior year.
- EV to CFO rose to 61.46 in Q2 2026 per TEX's latest filing, from 205.07 in the prior quarter.
- Across five years, EV to CFO topped out at 332.52 in Q1 2023 and bottomed at 205.07 in Q1 2026.
- Historically, EV to CFO has averaged 11.67 across 5 years, with a median of 19.73 in 2022.
- The sharpest annual moves came in 2022 and 2023: EV to CFO sank 327.7% in 2022, then surged 863.1% in 2023.
- Over 5 years, EV to CFO stood at 16.45 in 2022, then gained by 11.3% to 18.31 in 2023, then retreated by 17.27% to 15.15 in 2024, then dropped by 11.75% to 13.37 in 2025, then soared by 359.78% to 61.46 in 2026.
- According to Business Quant data, EV to CFO over the past three periods registered 61.46, 205.07, and 13.37 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 | 61.46 |
| Mar 31, 2026 | -205.07 |
| Dec 31, 2025 | 13.37 |
| Sep 30, 2025 | 18.55 |
| Jun 30, 2025 | 26.36 |
| Mar 31, 2025 | -103.83 |
| Dec 31, 2024 | 15.15 |
| Sep 30, 2024 | 27.43 |
| Jun 30, 2024 | 49.99 |
| Mar 31, 2024 | -116.74 |
| Dec 31, 2023 | 18.31 |
| Sep 30, 2023 | 25.33 |
| Jun 30, 2023 | 30.94 |
| Mar 31, 2023 | 332.52 |
| Dec 31, 2022 | 16.45 |
| Sep 30, 2022 | 20.92 |
| Jun 30, 2022 | 22.57 |
| Mar 31, 2022 | -43.58 |
| Dec 31, 2021 | -91.09 |
| Sep 30, 2021 | 43.45 |
API Access
Terex EV to CFO 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=ev-to-cfo&ticker=TEX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-cfo", "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=ev-to-cfo&ticker=TEX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();