Cirtran (CIRX) Total Non-Current Liabilities (2011 - 2025)
Cirtran (CIRX) posted Total Non-Current Liabilities of $27.46 million for Q3 2025, up 6.4% from $25.8 million a year earlier and up 2.6% from the prior quarter.
Cirtran (CIRX) Total Non-Current Liabilities (2011 - 2025) Analysis & Trends
At the end of FY2024, Cirtran's Total Non-Current Liabilities came in at $25.93 million, up 9.8% from FY2023.
- Annual Total Non-Current Liabilities shows a five-year compound annual growth rate of -8.6% (FY2019 to FY2024).
- In prior years, Cirtran's Total Non-Current Liabilities was $23.62 million in FY2023 (-45.8%), $43.55 million in FY2022 (+6.0%), $41.09 million in FY2021 (unchanged) and $41.09 million in FY2020 (+1.0%).
- The Q3 2025 figure stands as the highest quarterly Total Non-Current Liabilities since Q3 2023.
- On a year-over-year basis, Total Non-Current Liabilities has increased in each of the last four quarters, with an average decline of 18.0% over the last eight quarters.
- The strongest year-over-year quarter for Total Non-Current Liabilities in the past five years was Q4 2024, with growth of 9.8%; the weakest was Q4 2023, with a decline of 45.8%.
- According to Business Quant data, Total Non-Current Liabilities for the three prior quarters was $26.76 million (Q2 2025), $26.3 million (Q1 2025) and $25.93 million (Q4 2024).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Philip Morris International | 297.66 Bn | 279.23 Bn | 7.66 Bn | 75.14 Bn |
| 2 | British American Tobacco p.l.c | 125.80 Bn | 104.94 Bn | - | 61.07 Bn |
| 3 | Altria | 112.42 Bn | 98.63 Bn | 3.82 Bn | 35.24 Bn |
| 4 | Curaleaf Holdings | 2.73 Bn | 2.33 Bn | 169.91 Mn | 1.48 Bn |
| 5 | RLX Technology | 2.65 Bn | -916.64 Mn | 52.74 Mn | 30.64 Mn |
| 6 | Trulieve Cannabis | 2.10 Bn | 712.57 Mn | 162.29 Mn | 1.30 Bn |
| 7 | Green Thumb Industries | 1.33 Bn | 184.54 Mn | 137.87 Mn | 924.39 Mn |
| 8 | Cronos | 1.22 Bn | -2.00 Bn | 28.45 Mn | 62.42 Mn |
| 9 | Turning Point Brands | 1.18 Bn | 308.67 Mn | 93.70 Mn | 401.17 Mn |
| 10 | Cirtran | 98,908.34 | -99,427.66 | 619,024.00 | - |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2025 | 27.46 Mn |
| Jun 30, 2025 | 26.76 Mn |
| Mar 31, 2025 | 26.30 Mn |
| Dec 31, 2024 | 25.93 Mn |
| Sep 30, 2024 | 25.80 Mn |
| Jun 30, 2024 | 24.97 Mn |
| Mar 31, 2024 | 24.17 Mn |
| Dec 31, 2023 | 23.62 Mn |
| Sep 30, 2023 | 44.59 Mn |
| Jun 30, 2023 | 44.13 Mn |
| Mar 31, 2023 | 43.88 Mn |
| Dec 31, 2022 | 43.55 Mn |
| Sep 30, 2022 | 42.30 Mn |
| Jun 30, 2022 | 42.00 Mn |
| Mar 31, 2022 | 41.65 Mn |
| Dec 31, 2021 | 41.09 Mn |
| Sep 30, 2021 | 42.04 Mn |
| Jun 30, 2021 | 41.75 Mn |
| Mar 31, 2021 | 41.42 Mn |
| Dec 31, 2020 | 41.09 Mn |
Cirtran Total Non-Current 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-non-current-liabilities&ticker=CIRX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "ticker": "CIRX", "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-non-current-liabilities&ticker=CIRX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();