Concrete Leveling Systems (CLEV) Accumulated Expenses (2014 - 2026)
Concrete Leveling Systems (CLEV) recorded Accumulated Expenses of $9,055 in fiscal Q2 2015 (quarter ended Jan 31, 2015).
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Analysis
Concrete Leveling Systems (CLEV) Accumulated Expenses (2014 - 2026) Analysis & Trends
At the end of FY2014 (ended Jul 31, 2014), Concrete Leveling Systems reported Accumulated Expenses of $8,529.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Caterpillar | 333.79 Bn | 305.49 Bn | 7.76 Bn |
| 2 | Amphenol | 197.60 Bn | 192.18 Bn | 3.55 Bn |
| 3 | Deere | 169.21 Bn | 137.30 Bn | 4.66 Bn |
| 4 | Eaton | 152.39 Bn | 149.57 Bn | 2.86 Bn |
| 5 | Parker-Hannifin | 122.22 Bn | 120.34 Bn | 2.25 Bn |
| 6 | Emerson Electric | 89.77 Bn | 82.51 Bn | 2.66 Bn |
| 7 | 3M | 84.26 Bn | 65.66 Bn | 2.68 Bn |
| 8 | Vertiv Holdings | 79.29 Bn | 69.91 Bn | 1.23 Bn |
| 9 | Illinois Tool Works | 77.45 Bn | 74.01 Bn | 1.90 Bn |
| 10 | Concrete Leveling Systems | 9.82 Mn | 9.77 Mn | 593.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Apr 30, 2026 | 63,170.00 |
| Jan 31, 2026 | 60,918.00 |
| Oct 31, 2025 | 58,667.00 |
| Jul 31, 2025 | 56,416.00 |
| Apr 30, 2025 | 54,164.00 |
| Jan 31, 2025 | 51,912.00 |
| Oct 31, 2024 | 49,661.00 |
| Jul 31, 2024 | 47,410.00 |
| Apr 30, 2024 | 45,158.00 |
| Jan 31, 2024 | 42,907.00 |
| Oct 31, 2023 | 40,655.00 |
| Jul 31, 2023 | 38,404.00 |
| Apr 30, 2023 | 36,152.00 |
| Jan 31, 2023 | 33,901.00 |
| Oct 31, 2022 | 31,650.00 |
| Jul 31, 2022 | 29,398.00 |
| Apr 30, 2022 | 27,147.00 |
| Jan 31, 2022 | 24,895.00 |
| Oct 31, 2021 | 22,644.00 |
| Jul 31, 2021 | 20,392.00 |
API Access
Concrete Leveling Systems Accumulated Expenses 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=accumulated-expenses&ticker=CLEV&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "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=accumulated-expenses&ticker=CLEV&period=max&api_key=YOUR_API_KEY");
const data = await res.json();