Terex (TEX) Prepaid Assets (2009 - 2026)
Terex's (TEX) quarterly Prepaid Assets came in at $156.0 million in Q2 2026, up 3.31% on a YoY basis from $151.0 million in Q2 2025, and up 1.96% quarter-over-quarter from $153.0 million in Q1 2026.
Terex (TEX) Prepaid Assets (2009 - 2026) Analysis & Trends
Terex (TEX) has reported Prepaid Assets for 18 consecutive years, with $156.0 million the latest figure, recorded in Q2 2026.
- For the quarter ending Q2 2026, Prepaid Assets rose 3.31% year-over-year to $156.0 million; the trailing twelve-month figure through Jun 2026 stood at $156.0 million (up 3.31% YoY), and the FY2025 full-year result was $132.0 million, down 7.04% from the prior year.
- Prepaid Assets advanced to $156.0 million in Q2 2026 per TEX's latest filing, from $153.0 million in the prior quarter.
- Across five years, Prepaid Assets topped out at $206.0 million in Q3 2025 and bottomed at $116.9 million in Q2 2023.
- Historically, Prepaid Assets has averaged $141.0 million across 5 years, with a median of $135.4 million in 2022.
- The sharpest annual moves came in 2022 and 2025: Prepaid Assets slumped 35.77% in 2022, then jumped 50.36% in 2025.
- Over 5 years, Prepaid Assets stood at $122.0 million in 2022, then advanced by 14.75% to $140.0 million in 2023, then increased by 1.43% to $142.0 million in 2024, then retreated by 7.04% to $132.0 million in 2025, then rose by 18.18% to $156.0 million in 2026.
- According to Business Quant data, Prepaid Assets over the past three periods registered $156.0 million, $153.0 million, and $132.0 million for Q2 2026, Q1 2026, and Q4 2025 respectively.
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
| Date | Value |
|---|---|
| Jun 30, 2026 | 156.00 Mn |
| Mar 31, 2026 | 153.00 Mn |
| Dec 31, 2025 | 132.00 Mn |
| Sep 30, 2025 | 206.00 Mn |
| Jun 30, 2025 | 151.00 Mn |
| Mar 31, 2025 | 151.00 Mn |
| Dec 31, 2024 | 142.00 Mn |
| Sep 30, 2024 | 137.00 Mn |
| Jun 30, 2024 | 130.10 Mn |
| Mar 31, 2024 | 121.80 Mn |
| Dec 31, 2023 | 140.00 Mn |
| Sep 30, 2023 | 130.10 Mn |
| Jun 30, 2023 | 116.90 Mn |
| Mar 31, 2023 | 122.90 Mn |
| Dec 31, 2022 | 122.00 Mn |
| Sep 30, 2022 | 123.00 Mn |
| Jun 30, 2022 | 133.80 Mn |
| Mar 31, 2022 | 169.80 Mn |
| Dec 31, 2021 | 179.70 Mn |
| Sep 30, 2021 | 191.50 Mn |
Terex Prepaid Assets 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=prepaid-assets&ticker=TEX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "prepaid-assets", "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=prepaid-assets&ticker=TEX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();