Concrete Leveling Systems (CLEV) Operating Expenses (2010 - 2026)
Concrete Leveling Systems (CLEV) posted Operating Expenses of $17,586 for fiscal Q3 2026 (quarter ended Apr 30, 2026), up 89.5% from $9,282 a year earlier and up 28.3% from the prior quarter.
Concrete Leveling Systems (CLEV) Operating Expenses (2010 - 2026) Analysis & Trends
For the trailing twelve months through Apr 30, 2026, Operating Expenses at Concrete Leveling Systems was $76,067, up 47.4% year-over-year; for FY2025 (ended Jul 31, 2025), it came in at $51,597, up 4.6% from FY2024.
- Annual Operating Expenses has increased for three consecutive fiscal years, with a five-year compound annual growth rate of 5.5% (FY2020 to FY2025).
- In prior fiscal years, Concrete Leveling Systems' Operating Expenses was $49,349 in FY2024 (+12.0%), $44,043 in FY2023 (+10.8%), $39,763 in FY2022 (-3.5%) and $41,185 in FY2021 (+4.3%).
- Quarterly Operating Expenses has run from a low of $5,833 in fiscal Q3 2022 to a high of $35,020 in fiscal Q1 2026 over five years.
- On a year-over-year basis, Operating Expenses has increased in each of the last six quarters, with growth averaging 27.0% over the last eight quarters.
- The strongest year-over-year quarter for Operating Expenses in the past five years was fiscal Q3 2026, with growth of 89.5%; the weakest was fiscal Q1 2023, with a decline of 13.4%.
- According to Business Quant data, Operating Expenses for the three prior fiscal quarters was $13,704 (Q2 2026), $35,020 (Q1 2026) and $9,757 (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 267.46 Bn | 238.77 Bn | 7.35 Bn | 16.47 Bn |
| 2 | Amphenol | 197.37 Bn | 192.21 Bn | 4.02 Bn | 7.11 Bn |
| 3 | Deere | 185.36 Bn | 194.13 Bn | 4.66 Bn | 10.73 Bn |
| 4 | Eaton | 137.64 Bn | 134.62 Bn | 3.11 Bn | 1.52 Bn |
| 5 | Parker-Hannifin | 121.80 Bn | 119.79 Bn | 2.26 Bn | 1.07 Bn |
| 6 | 3M | 97.84 Bn | 80.25 Bn | 2.78 Bn | 5.03 Bn |
| 7 | Emerson Electric | 93.37 Bn | 85.86 Bn | 2.74 Bn | 1.39 Bn |
| 8 | Illinois Tool Works | 81.86 Bn | 78.53 Bn | 1.91 Bn | 717.00 Mn |
| 9 | Vertiv Holdings | 74.77 Bn | 63.62 Bn | 1.64 Bn | 557.10 Mn |
| 10 | Concrete Leveling Systems | 9.40 Mn | 9.35 Mn | 593.00 | 17,586.00 |
Historic Data
| Date | Value |
|---|---|
| Apr 30, 2026 | 17,586.00 |
| Jan 31, 2026 | 13,704.00 |
| Oct 31, 2025 | 35,020.00 |
| Jul 31, 2025 | 9,757.00 |
| Apr 30, 2025 | 9,282.00 |
| Jan 31, 2025 | 10,227.00 |
| Oct 31, 2024 | 22,331.00 |
| Jul 31, 2024 | 9,749.00 |
| Apr 30, 2024 | 8,149.00 |
| Jan 31, 2024 | 7,753.00 |
| Oct 31, 2023 | 23,699.00 |
| Jul 31, 2023 | 10,168.00 |
| Apr 30, 2023 | 8,110.00 |
| Jan 31, 2023 | 7,344.00 |
| Oct 31, 2022 | 18,420.00 |
| Jul 31, 2022 | 6,710.00 |
| Apr 30, 2022 | 5,833.00 |
| Jan 31, 2022 | 5,944.00 |
| Oct 31, 2021 | 21,276.00 |
| Jul 31, 2021 | 6,339.00 |
Concrete Leveling Systems Operating 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=operating-expenses&ticker=CLEV&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-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=operating-expenses&ticker=CLEV&period=max&api_key=YOUR_API_KEY");
const data = await res.json();