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.
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Analysis
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 Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 267.46 Bn | 238.77 Bn | 7.35 Bn | 4.83 Bn |
| 2 | Amphenol | 197.37 Bn | 192.21 Bn | 4.02 Bn | 3.37 Bn |
| 3 | Deere | 185.36 Bn | 194.13 Bn | 4.66 Bn | 2.46 Bn |
| 4 | Eaton | 137.64 Bn | 134.62 Bn | 3.11 Bn | 2.05 Bn |
| 5 | Parker-Hannifin | 121.80 Bn | 119.79 Bn | 2.26 Bn | 1.48 Bn |
| 6 | 3M | 97.84 Bn | 80.25 Bn | 2.78 Bn | 1.89 Bn |
| 7 | Emerson Electric | 93.37 Bn | 85.86 Bn | 2.74 Bn | 1.72 Bn |
| 8 | Illinois Tool Works | 81.86 Bn | 78.53 Bn | 1.91 Bn | 1.28 Bn |
| 9 | Vertiv Holdings | 74.77 Bn | 63.62 Bn | 1.64 Bn | 1.09 Bn |
| 10 | Concrete Leveling Systems | 9.40 Mn | 9.35 Mn | 593.00 | -16,892.00 |
Historic Data
Download Data
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 |
API Access
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_KEYimport 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();