Cemtrex (CETX) Non-Current Debt (2010 - 2026)
Cemtrex (CETX) reported Non-Current Debt of -$139,413 for fiscal Q4 2017 (quarter ended Sep 30, 2017), compared with $280,107 a year earlier.
Analysis
Cemtrex (CETX) Non-Current Debt (2010 - 2026) Analysis & Trends
For FY2017 (ended Sep 30, 2017), Cemtrex posted Non-Current Debt of -$259,474.
- By fiscal year, Non-Current Debt came in at $3.48 million in FY2016 and -$1.75 million in FY2015.
- The fiscal Q4 2017 figure ranks as the lowest quarterly Non-Current Debt since fiscal Q4 2015.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Debt (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 319.55 Bn | 304.63 Bn | 2.30 Bn | - |
| 2 | CrowdStrike Holdings | 265.46 Bn | 245.90 Bn | 1.10 Bn | 746.22 Mn |
| 3 | Fortinet | 129.36 Bn | 115.29 Bn | 1.64 Bn | 496.90 Mn |
| 4 | Snowflake | 115.65 Bn | 102.97 Bn | 1.04 Bn | - |
| 5 | Datadog | 96.45 Bn | 78.09 Bn | 881.34 Mn | - |
| 6 | Axon Enterprise | 34.50 Bn | 29.03 Bn | 546.45 Mn | 1.73 Bn |
| 7 | Okta | 33.79 Bn | 23.89 Bn | 641.00 Mn | - |
| 8 | Zscaler | 32.51 Bn | 18.63 Bn | - | - |
| 9 | Baidu | 29.59 Bn | -44.04 Bn | 1.47 Mn | 3.06 Bn |
| 10 | Cemtrex | 2.56 Mn | -51.52 Mn | 7.70 Mn | 8.58 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 8.58 Mn |
| Mar 31, 2026 | 8.76 Mn |
| Dec 31, 2025 | 8.04 Mn |
| Sep 30, 2025 | 4.59 Mn |
| Jun 30, 2025 | 8.48 Mn |
| Mar 31, 2025 | 9.49 Mn |
| Dec 31, 2024 | 11.89 Mn |
| Sep 30, 2024 | 13.27 Mn |
| Jun 30, 2024 | 16.89 Mn |
| Mar 31, 2024 | 21.55 Mn |
| Dec 31, 2023 | 3.27 Mn |
| Sep 30, 2023 | 9.93 Mn |
| Jun 30, 2023 | 3.61 Mn |
| Mar 31, 2023 | 3.87 Mn |
| Dec 31, 2022 | 3.20 Mn |
| Sep 30, 2022 | 2.16 Mn |
| Jun 30, 2022 | 2.18 Mn |
| Mar 31, 2022 | 2.21 Mn |
| Dec 31, 2021 | 2.40 Mn |
| Sep 30, 2021 | 2.35 Mn |
API Access
Cemtrex Non-Current Debt 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=non-current-debt&ticker=CETX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-debt", "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=non-current-debt&ticker=CETX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();