Terex (TEX) Pension (2010 - 2019)
Terex's (TEX) quarterly Pension came in at $65.1 million in Q3 2019, down 53.27% on a YoY basis from $139.3 million in Q3 2018, and down 2.84% quarter-over-quarter from $67.0 million in Q2 2019.
Terex (TEX) Pension (2010 - 2019) Analysis & Trends
Terex (TEX) has reported Pension for 10 consecutive years, with $65.1 million the latest figure, recorded in Q3 2019.
- For the quarter ending Q3 2019, Pension fell 53.27% year-over-year to $65.1 million; the trailing twelve-month figure through Sep 2019 stood at $65.1 million (down 53.27% YoY), and the FY2018 full-year result was $69.0 million, down 54.4% from the prior year.
- Pension declined to $65.1 million in Q3 2019 per TEX's latest filing, from $67.0 million in the prior quarter.
- Across five years, Pension topped out at $402.7 million in Q2 2015 and bottomed at $65.1 million in Q3 2019.
- Historically, Pension has averaged $185.3 million across 5 years, with a median of $152.0 million in 2018.
- The widest YoY moves for Pension: up 14.3% in 2015, down 63.7% in 2015.
- Over 5 years, Pension stood at $157.0 million in 2015, then fell by 2.04% to $153.8 million in 2016, then retreated by 1.63% to $151.3 million in 2017, then slumped by 54.4% to $69.0 million in 2018, then dropped by 5.65% to $65.1 million in 2019.
- According to Business Quant data, Pension over the past three periods registered $65.1 million, $67.0 million, and $69.8 million for Q3 2019, Q2 2019, and Q1 2019 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 |
|---|---|
| Sep 30, 2019 | 65.10 Mn |
| Jun 30, 2019 | 67.00 Mn |
| Mar 31, 2019 | 69.80 Mn |
| Dec 31, 2018 | 69.00 Mn |
| Sep 30, 2018 | 139.30 Mn |
| Jun 30, 2018 | 143.60 Mn |
| Mar 31, 2018 | 152.00 Mn |
| Dec 31, 2017 | 151.30 Mn |
| Sep 30, 2017 | 160.00 Mn |
| Jun 30, 2017 | 158.30 Mn |
| Mar 31, 2017 | 153.50 Mn |
| Dec 31, 2016 | 153.80 Mn |
| Sep 30, 2016 | 150.20 Mn |
| Jun 30, 2016 | 151.60 Mn |
| Mar 31, 2016 | 387.50 Mn |
| Dec 31, 2015 | 157.00 Mn |
| Sep 30, 2015 | 398.80 Mn |
| Jun 30, 2015 | 402.70 Mn |
| Mar 31, 2015 | 390.80 Mn |
| Dec 31, 2014 | 432.50 Mn |
Terex Pension 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=pension&ticker=TEX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "pension", "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=pension&ticker=TEX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();