Concrete Leveling Systems (CLEV) EBITDA (2010 - 2026)
Concrete Leveling Systems' EBITDA was -$16,892 in fiscal Q3 2026 (quarter ended Apr 30, 2026), compared with -$9,162 a year earlier.
Concrete Leveling Systems (CLEV) EBITDA (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, Concrete Leveling Systems' EBITDA was -$35,707 through Apr 30, 2026; for FY2012 (ended Jul 31, 2012), it was -$115,085.
- In earlier fiscal years, EBITDA was -$99,655 in FY2011.
- The fiscal Q3 2026 figure marks the lowest quarterly EBITDA since fiscal Q4 2012.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 376.87 Bn | 348.57 Bn | 7.76 Bn | 4.91 Bn |
| 2 | Amphenol | 208.65 Bn | 203.35 Bn | 3.55 Bn | 2.93 Bn |
| 3 | Deere | 185.97 Bn | 194.73 Bn | 4.66 Bn | 2.46 Bn |
| 4 | Eaton | 167.50 Bn | 164.73 Bn | 2.86 Bn | 1.79 Bn |
| 5 | Parker-Hannifin | 122.25 Bn | 120.39 Bn | 2.25 Bn | 1.61 Bn |
| 6 | Vertiv Holdings | 93.95 Bn | 84.57 Bn | 1.23 Bn | 753.70 Mn |
| 7 | Emerson Electric | 88.90 Bn | 81.65 Bn | 2.66 Bn | 1.69 Bn |
| 8 | 3M | 87.39 Bn | 68.85 Bn | 2.68 Bn | 1.32 Bn |
| 9 | Illinois Tool Works | 78.00 Bn | 74.56 Bn | 1.90 Bn | 1.25 Bn |
| 10 | Concrete Leveling Systems | 12.77 Mn | 12.71 Mn | 593.00 | -16,892.00 |
Historic Data
| Date | Value |
|---|---|
| Apr 30, 2026 | -16,892.00 |
| Apr 30, 2025 | -9,162.00 |
| Apr 30, 2015 | -4,330.00 |
| Apr 30, 2014 | -5,323.00 |
| Jul 31, 2012 | -28,043.00 |
| Apr 30, 2012 | -23,891.00 |
| Jan 31, 2012 | -25,025.00 |
| Oct 31, 2011 | -38,127.00 |
| Jul 31, 2011 | -16,498.00 |
| Apr 30, 2011 | -23,413.00 |
| Jan 31, 2011 | -29,362.00 |
| Oct 31, 2010 | -30,699.00 |
Concrete Leveling Systems EBITDA 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=ebitda&ticker=CLEV&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=CLEV&period=max&api_key=YOUR_API_KEY");
const data = await res.json();