Cemtrex (CETX) Total Liabilities (2010 - 2026)
Cemtrex (CETX) posted Total Liabilities of $38.01 million for fiscal Q3 2026 (quarter ended Jun 30, 2026), down 11.8% from $43.11 million a year earlier but up 5.5% from the prior quarter.
Cemtrex (CETX) Total Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025 (ended Sep 30, 2025), Cemtrex's Total Liabilities came in at $39.07 million, down 0.8% from FY2024.
- Annual Total Liabilities shows a five-year compound annual growth rate of 3.4% (FY2020 to FY2025).
- In prior fiscal years, Cemtrex's Total Liabilities was $39.4 million in FY2024 (-3.3%), $40.77 million in FY2023 (+28.1%), $31.81 million in FY2022 (+4.8%) and $30.35 million in FY2021 (-8.1%).
- Quarterly Total Liabilities has run from a low of $25.32 million in fiscal Q1 2022 to a high of $48.25 million in fiscal Q1 2025 over five years.
- On a year-over-year basis, Total Liabilities has declined in each of the last six quarters, with an average decline of 5.4% over the last eight quarters.
- The strongest year-over-year quarter for Total Liabilities in the past five years was fiscal Q1 2023, with growth of 29.3%; the weakest was fiscal Q1 2026, with a decline of 35.3%.
- According to Business Quant data, Total Liabilities for the three prior fiscal quarters was $36.03 million (Q2 2026), $31.24 million (Q1 2026) and $39.07 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 319.55 Bn | 304.63 Bn | 2.30 Bn | 20.97 Bn |
| 2 | CrowdStrike Holdings | 265.46 Bn | 245.90 Bn | 1.10 Bn | 6.89 Bn |
| 3 | Fortinet | 129.36 Bn | 115.29 Bn | 1.64 Bn | 9.31 Bn |
| 4 | Snowflake | 115.65 Bn | 102.97 Bn | 1.04 Bn | 6.54 Bn |
| 5 | Datadog | 96.45 Bn | 78.09 Bn | 881.34 Mn | 3.18 Bn |
| 6 | Axon Enterprise | 34.50 Bn | 29.03 Bn | 546.45 Mn | 3.81 Bn |
| 7 | Okta | 33.79 Bn | 23.89 Bn | 641.00 Mn | 2.17 Bn |
| 8 | Zscaler | 32.51 Bn | 18.63 Bn | - | 5.27 Bn |
| 9 | Baidu | 29.59 Bn | -44.04 Bn | 1.47 Mn | 27.69 Bn |
| 10 | Cemtrex | 2.56 Mn | -51.52 Mn | 7.70 Mn | 38.01 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 38.01 Mn |
| Mar 31, 2026 | 36.03 Mn |
| Dec 31, 2025 | 31.24 Mn |
| Sep 30, 2025 | 39.07 Mn |
| Jun 30, 2025 | 43.11 Mn |
| Mar 31, 2025 | 39.51 Mn |
| Dec 31, 2024 | 48.25 Mn |
| Sep 30, 2024 | 39.40 Mn |
| Jun 30, 2024 | 43.78 Mn |
| Mar 31, 2024 | 42.56 Mn |
| Dec 31, 2023 | 38.54 Mn |
| Sep 30, 2023 | 40.77 Mn |
| Jun 30, 2023 | 34.23 Mn |
| Mar 31, 2023 | 33.02 Mn |
| Dec 31, 2022 | 32.75 Mn |
| Sep 30, 2022 | 31.81 Mn |
| Jun 30, 2022 | 34.03 Mn |
| Mar 31, 2022 | 34.44 Mn |
| Dec 31, 2021 | 25.32 Mn |
| Sep 30, 2021 | 30.35 Mn |
Cemtrex Total Liabilities 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=total-liabilities&ticker=CETX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=CETX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();