Cemtrex (CETX) Operating Expenses (2010 - 2026)
Cemtrex's Operating Expenses was $8.89 million in fiscal Q3 2026 (quarter ended Jun 30, 2026), up 10.9% from $8.01 million a year earlier but down 1.4% from the prior quarter.
Powered by 
Analysis
Cemtrex (CETX) Operating Expenses (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, Cemtrex's Operating Expenses was $34.57 million through Jun 30, 2026, up 9.9% year-over-year; for FY2025 (ended Sep 30, 2025), it was $31.78 million, down 3.0% from FY2024.
- Operating Expenses shows a five-year compound annual growth rate of 7.4% (FY2020 to FY2025).
- In earlier fiscal years, Operating Expenses was $32.75 million in FY2024 (+20.4%), $27.2 million in FY2023 (-11.4%), $30.7 million in FY2022 (+19.4%) and $25.71 million in FY2021 (+15.9%).
- Quarterly Operating Expenses has moved between $6.43 million (fiscal Q3 2023) and $10.94 million (fiscal Q4 2022) over five years.
- Compared with a year earlier, Operating Expenses has increased for four straight quarters, with growth averaging 5.1% over the last eight quarters.
- The best year-over-year quarter for Operating Expenses over five years was fiscal Q4 2022 (growth of 49.0%); the worst was fiscal Q4 2023 (a decline of 37.4%).
- Per Business Quant data, CETX's Operating Expenses in the three fiscal quarters before Q3 2026 was $9.02 million (Q2 2026), $8.43 million (Q1 2026) and $8.23 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 319.55 Bn | 304.63 Bn | 2.30 Bn | 2.13 Bn |
| 2 | CrowdStrike Holdings | 265.46 Bn | 245.90 Bn | 1.10 Bn | 1.13 Bn |
| 3 | Fortinet | 129.36 Bn | 115.29 Bn | 1.64 Bn | 953.90 Mn |
| 4 | Snowflake | 115.65 Bn | 102.97 Bn | 1.04 Bn | 1.30 Bn |
| 5 | Datadog | 96.45 Bn | 78.09 Bn | 881.34 Mn | 875.89 Mn |
| 6 | Axon Enterprise | 34.50 Bn | 29.03 Bn | 546.45 Mn | 499.67 Mn |
| 7 | Okta | 33.79 Bn | 23.89 Bn | 641.00 Mn | 534.00 Mn |
| 8 | Zscaler | 32.51 Bn | 18.63 Bn | - | - |
| 9 | Baidu | 29.59 Bn | -44.04 Bn | 1.47 Mn | 4.17 Bn |
| 10 | Cemtrex | 2.56 Mn | -51.52 Mn | 7.70 Mn | 8.89 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 8.89 Mn |
| Mar 31, 2026 | 9.02 Mn |
| Dec 31, 2025 | 8.43 Mn |
| Sep 30, 2025 | 8.23 Mn |
| Jun 30, 2025 | 8.01 Mn |
| Mar 31, 2025 | 7.55 Mn |
| Dec 31, 2024 | 7.98 Mn |
| Sep 30, 2024 | 7.90 Mn |
| Jun 30, 2024 | 9.06 Mn |
| Mar 31, 2024 | 7.97 Mn |
| Dec 31, 2023 | 7.82 Mn |
| Sep 30, 2023 | 6.85 Mn |
| Jun 30, 2023 | 6.43 Mn |
| Mar 31, 2023 | 6.93 Mn |
| Dec 31, 2022 | 6.99 Mn |
| Sep 30, 2022 | 10.94 Mn |
| Jun 30, 2022 | 6.57 Mn |
| Mar 31, 2022 | 6.66 Mn |
| Dec 31, 2021 | 6.52 Mn |
| Sep 30, 2021 | 7.34 Mn |
API Access
Cemtrex 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=CETX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "CETX", "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=CETX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();