Concrete Leveling Systems (CLEV) EPS (Diluted) (2024 - 2026)
Concrete Leveling Systems' EPS (Diluted) came in at $0.00 for fiscal Q3 2026 (quarter ended Apr 30, 2026), compared with $0.00 a year earlier.
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Analysis
Concrete Leveling Systems (CLEV) EPS (Diluted) (2024 - 2026) Analysis & Trends
Going back to fiscal Q2 2024, Concrete Leveling Systems' EPS (Diluted) data covers 10 quarters.
- Going back by fiscal year, EPS (Diluted) was $0.00 in FY2024.
- The fiscal Q3 2026 figure represents the lowest quarterly EPS (Diluted) since fiscal Q1 2025.
- Business Quant data shows CLEV's EPS (Diluted) at $0.00 (Q2 2026), $0.00 (Q1 2026) and $0.00 (Q4 2025) in the three fiscal quarters before Q3 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EPS (Diluted) (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 372.79 Bn | 344.49 Bn | 7.76 Bn | 7.77 |
| 2 | Amphenol | 207.98 Bn | 202.68 Bn | 3.55 Bn | 0.69 |
| 3 | Deere | 181.02 Bn | 189.78 Bn | 4.66 Bn | 5.09 |
| 4 | Eaton | 166.86 Bn | 164.09 Bn | 2.86 Bn | 2.11 |
| 5 | Parker-Hannifin | 120.45 Bn | 118.58 Bn | 2.25 Bn | 8.52 |
| 6 | Vertiv Holdings | 92.94 Bn | 83.56 Bn | 1.23 Bn | 1.27 |
| 7 | Emerson Electric | 86.56 Bn | 79.32 Bn | 2.66 Bn | 1.28 |
| 8 | 3M | 84.72 Bn | 66.18 Bn | 2.68 Bn | 1.79 |
| 9 | Illinois Tool Works | 73.32 Bn | 69.88 Bn | 1.90 Bn | 2.84 |
| 10 | Concrete Leveling Systems | 12.77 Mn | 12.71 Mn | 593.00 | 0.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Apr 30, 2026 | 0.00 |
| Jan 31, 2026 | 0.00 |
| Oct 31, 2025 | 0.00 |
| Jul 31, 2025 | 0.00 |
| Apr 30, 2025 | 0.00 |
| Jan 31, 2025 | 0.00 |
| Oct 31, 2024 | 0.00 |
| Jul 31, 2024 | 0.00 |
| Apr 30, 2024 | 0.00 |
| Jan 31, 2024 | 0.00 |
API Access
Concrete Leveling Systems EPS (Diluted) 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=eps-diluted&ticker=CLEV&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "eps-diluted", "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=eps-diluted&ticker=CLEV&period=max&api_key=YOUR_API_KEY");
const data = await res.json();