Terex (TEX) Operating Leases (2019 - 2023)
Terex's (TEX) quarterly Operating Leases came in at $91.4 million in Q3 2023, up 45.54% quarter-over-quarter from $62.8 million in Q4 2022.
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Analysis
Terex (TEX) Operating Leases (2019 - 2023) Analysis & Trends
Terex (TEX) has reported Operating Leases for 3 consecutive years, with $91.4 million the latest figure, recorded in Q3 2023.
- For the quarter ending Q3 2023, Operating Leases changed N/A year-over-year to $91.4 million; the trailing twelve-month figure through Sep 2023 stood at $91.4 million (changed N/A YoY), and the FY2022 full-year result was $62.8 million, changed N/A from the prior year.
- Operating Leases rose to $91.4 million in Q3 2023 per TEX's latest filing, from $62.8 million in the prior quarter.
- Across five years, Operating Leases topped out at $131.9 million in Q1 2019 and bottomed at $62.8 million in Q4 2022.
- Historically, Operating Leases has averaged $108.5 million across 3 years, with a median of $127.1 million in 2019.
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 |
|---|---|
| Sep 30, 2023 | 91.40 Mn |
| Dec 31, 2022 | 62.80 Mn |
| Sep 30, 2019 | 127.10 Mn |
| Jun 30, 2019 | 129.50 Mn |
| Mar 31, 2019 | 131.90 Mn |
API Access
Terex Operating Leases 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=operating-leases&ticker=TEX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-leases", "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=operating-leases&ticker=TEX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();