Terex (TEX) Change in Accured Expenses (2009 - 2011)
Terex's (TEX) quarterly Change in Accured Expenses came in at -$3.0 million in Q1 2011, up 72.48% on a YoY basis from -$1.7 million in Q1 2010, and down 190.91% quarter-over-quarter from $3.3 million in Q4 2010.
Terex (TEX) Change in Accured Expenses (2009 - 2011) Analysis & Trends
Terex (TEX) has reported Change in Accured Expenses for 3 consecutive years, with -$3.0 million the latest figure, recorded in Q1 2011.
- For the quarter ending Q1 2011, Change in Accured Expenses rose 72.48% year-over-year to -$3.0 million; the trailing twelve-month figure through Mar 2011 stood at $2.2 million (up 104.26% YoY), and the FY2010 full-year result was -$5.7 million, up 89.2% from the prior year.
- Change in Accured Expenses eased to -$3.0 million in Q1 2011 per TEX's latest filing, from $3.3 million in the prior quarter.
- Across five years, Change in Accured Expenses topped out at $4.2 million in Q2 2010 and bottomed at -$23.0 million in Q4 2009.
- Historically, Change in Accured Expenses has averaged -$6.8 million across 3 years, with a median of -$7.1 million in 2009.
- The widest YoY moves for Change in Accured Expenses: up 139.25% in 2010, down 9.17% in 2010.
- Over 3 years, Change in Accured Expenses stood at -$23.0 million in 2009, then surged by 114.35% to $3.3 million in 2010, then plunged by 190.91% to -$3.0 million in 2011.
- According to Business Quant data, Change in Accured Expenses over the past three periods registered -$3.0 million, $3.3 million, and -$2.3 million for Q1 2011, Q4 2010, and Q3 2010 respectively.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accured Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 371.58 Bn | 364.86 Bn | 7.76 Bn | 715.00 Mn |
| 2 | Amphenol | 204.28 Bn | 198.29 Bn | 3.55 Bn | - |
| 3 | Deere | 189.58 Bn | 180.70 Bn | 12.32 Bn | 67.00 Mn |
| 4 | Eaton | 171.87 Bn | 171.22 Bn | 2.86 Bn | - |
| 5 | Parker-Hannifin | 121.60 Bn | 121.11 Bn | 2.25 Bn | 247.00 Mn |
| 6 | Vertiv Holdings | 97.62 Bn | 94.51 Bn | 1.23 Bn | 117.60 Mn |
| 7 | 3M | 87.32 Bn | 84.04 Bn | 2.68 Bn | - |
| 8 | Emerson Electric | 86.05 Bn | 83.88 Bn | 2.66 Bn | 191.00 Mn |
| 9 | Illinois Tool Works | 77.02 Bn | 76.18 Bn | 1.90 Bn | 57.00 Mn |
| 10 | Terex | 6.72 Bn | 6.31 Bn | 444.00 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2011 | -3.00 Mn |
| Dec 31, 2010 | 3.30 Mn |
| Sep 30, 2010 | -2.30 Mn |
| Jun 30, 2010 | 4.20 Mn |
| Mar 31, 2010 | -10.90 Mn |
| Dec 31, 2009 | -23.00 Mn |
| Sep 30, 2009 | -7.10 Mn |
| Jun 30, 2009 | -10.70 Mn |
| Mar 31, 2009 | -12.00 Mn |
Terex Change in Accured Expenses 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=change-in-accured-expenses&ticker=TEX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-expenses", "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=change-in-accured-expenses&ticker=TEX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();