Terex (TEX) Asset Writedowns and Impairment (2009 - 2021)
Terex's (TEX) quarterly Asset Writedowns and Impairment came in at $2.3 million in Q1 2021, up 2200.0% on a YoY basis from $100000.0 in Q1 2020, and down 4.17% quarter-over-quarter from $2.4 million in Q4 2020.
Terex (TEX) Asset Writedowns and Impairment (2009 - 2021) Analysis & Trends
Terex (TEX) has reported Asset Writedowns and Impairment for 8 consecutive years, with $2.3 million the latest figure, recorded in Q1 2021.
- For the quarter ending Q1 2021, Asset Writedowns and Impairment rose 2200.0% year-over-year to $2.3 million; the trailing twelve-month figure through Mar 2021 stood at $4.7 million (up 288.0% YoY), and the FY2021 full-year result was $6.3 million, up 14.55% from the prior year.
- Asset Writedowns and Impairment declined to $2.3 million in Q1 2021 per TEX's latest filing, from $2.4 million in the prior quarter.
- Across five years, Asset Writedowns and Impairment topped out at $86.1 million in Q1 2019 and bottomed at -$45.8 million in Q4 2017.
- Historically, Asset Writedowns and Impairment has averaged $7.8 million across 5 years, with a median of $1.4 million in 2019.
- The widest YoY moves for Asset Writedowns and Impairment: up 17120.0% in 2019, down 671.43% in 2019.
- Over 5 years, Asset Writedowns and Impairment stood at -$45.8 million in 2017, then surged by 112.01% to $5.5 million in 2018, then tumbled by 74.55% to $1.4 million in 2019, then surged by 71.43% to $2.4 million in 2020, then decreased by 4.17% to $2.3 million in 2021.
- According to Business Quant data, Asset Writedowns and Impairment over the past three periods registered $2.3 million, $2.4 million, and $100000.0 for Q1 2021, Q4 2020, and Q1 2020 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 |
|---|---|
| Mar 31, 2021 | 2.30 Mn |
| Dec 31, 2020 | 2.40 Mn |
| Mar 31, 2020 | 100,000.00 |
| Dec 31, 2019 | 1.40 Mn |
| Jun 30, 2019 | -4.00 Mn |
| Mar 31, 2019 | 86.10 Mn |
| Dec 31, 2018 | 5.50 Mn |
| Jun 30, 2018 | 700,000.00 |
| Mar 31, 2018 | 500,000.00 |
| Dec 31, 2017 | -45.80 Mn |
| Sep 30, 2017 | 700,000.00 |
| Jun 30, 2017 | 6.50 Mn |
| Mar 31, 2017 | 45.40 Mn |
| Dec 31, 2016 | 69.60 Mn |
| Sep 30, 2016 | -59.30 Mn |
| Jun 30, 2016 | 55.60 Mn |
| Dec 31, 2010 | 1.80 Mn |
| Sep 30, 2010 | 1.70 Mn |
| Jun 30, 2010 | 3.80 Mn |
| Mar 31, 2010 | 4.10 Mn |
Terex Asset Writedowns and Impairment 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=asset-writedowns-and-impairment&ticker=TEX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "asset-writedowns-and-impairment", "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=asset-writedowns-and-impairment&ticker=TEX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();