Concrete Leveling Systems (CLEV) Non-Current Debt (2010 - 2013)
Concrete Leveling Systems (CLEV) recorded Non-Current Debt of $8,800 in fiscal Q3 2013 (quarter ended Apr 30, 2013), up 6.0% from $8,300 a year earlier and up 95.6% from the prior quarter.
Concrete Leveling Systems (CLEV) Non-Current Debt (2010 - 2013) Analysis & Trends
On a TTM basis, Concrete Leveling Systems' Non-Current Debt came in at $15,800 as of Apr 30, 2013, up 35.0% year-over-year; for FY2012 (ended Jul 31, 2012), it was $14,200, down 55.0% from FY2011.
- Across earlier fiscal years, Non-Current Debt came in at $31,550 in FY2011.
- The fiscal Q3 2013 figure is the highest quarterly Non-Current Debt since fiscal Q1 2011.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Debt (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 376.87 Bn | 348.57 Bn | 7.76 Bn | 32.04 Bn |
| 2 | Amphenol | 208.65 Bn | 203.35 Bn | 3.55 Bn | 17.18 Bn |
| 3 | Deere | 185.97 Bn | 194.73 Bn | 4.66 Bn | 6.10 Bn |
| 4 | Eaton | 167.50 Bn | 164.73 Bn | 2.86 Bn | 18.51 Bn |
| 5 | Parker-Hannifin | 122.25 Bn | 120.39 Bn | 2.25 Bn | 6.77 Bn |
| 6 | Vertiv Holdings | 93.95 Bn | 84.57 Bn | 1.23 Bn | 2.94 Bn |
| 7 | Emerson Electric | 88.90 Bn | 81.65 Bn | 2.66 Bn | 7.53 Bn |
| 8 | 3M | 87.39 Bn | 68.85 Bn | 2.68 Bn | 10.90 Bn |
| 9 | Illinois Tool Works | 78.00 Bn | 74.56 Bn | 1.90 Bn | 6.55 Bn |
| 10 | Concrete Leveling Systems | 12.77 Mn | 12.71 Mn | 593.00 | - |
Historic Data
| Date | Value |
|---|---|
| Apr 30, 2013 | 8,800.00 |
| Jan 31, 2013 | 4,500.00 |
| Jul 31, 2012 | 2,500.00 |
| Apr 30, 2012 | 8,300.00 |
| Jan 31, 2012 | 3,700.00 |
| Oct 31, 2011 | -300.00 |
| Oct 31, 2010 | 12,690.00 |
Concrete Leveling Systems Non-Current Debt 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=non-current-debt&ticker=CLEV&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-debt", "ticker": "CLEV", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=non-current-debt&ticker=CLEV&period=max&api_key=YOUR_API_KEY");
const data = await res.json();