Cirtran (CIRX) Total Liabilities (2010 - 2026)
Cirtran (CIRX) recorded Total Liabilities of $25.6 million in Q2 2026, down 4.4% from $26.77 million a year earlier but up 0.8% from the prior quarter.
Cirtran (CIRX) Total Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025, Cirtran reported Total Liabilities of $27.62 million, up 6.5% from FY2024.
- Annual Total Liabilities has a five-year compound annual growth rate of -8.0% (FY2020 to FY2025).
- Across earlier years, Total Liabilities came in at $25.94 million in FY2024 (+9.8%), $23.63 million in FY2023 (-46.4%), $44.07 million in FY2022 (+4.8%) and $42.03 million in FY2021 (unchanged).
- Quarterly Total Liabilities has ranged from $23.63 million in Q4 2023 to $45.11 million in Q3 2023 over the past five years.
- On a year-over-year basis, Total Liabilities rose in five of the last eight quarters, with an average decline of 1.5%.
- Peak year-over-year performance for Total Liabilities in the last five years was growth of 9.8% in Q4 2024, against a decline of 46.4% in Q4 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at $25.4 million (Q1 2026), $27.62 million (Q4 2025) and $27.46 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Philip Morris International | 297.66 Bn | 279.23 Bn | 7.66 Bn | 76.85 Bn |
| 2 | British American Tobacco p.l.c | 125.80 Bn | 104.94 Bn | - | 80.22 Bn |
| 3 | Altria | 112.42 Bn | 98.63 Bn | 3.82 Bn | 36.04 Bn |
| 4 | Curaleaf Holdings | 2.73 Bn | 2.33 Bn | 169.91 Mn | 1.95 Bn |
| 5 | RLX Technology | 2.65 Bn | -916.64 Mn | 52.74 Mn | 179.91 Mn |
| 6 | Trulieve Cannabis | 2.10 Bn | 712.57 Mn | 162.29 Mn | 1.31 Bn |
| 7 | Green Thumb Industries | 1.33 Bn | 184.54 Mn | 137.87 Mn | 954.64 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 | 25.60 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 25.60 Mn |
| Mar 31, 2026 | 25.40 Mn |
| Dec 31, 2025 | 27.62 Mn |
| Sep 30, 2025 | 27.46 Mn |
| Jun 30, 2025 | 26.77 Mn |
| Mar 31, 2025 | 26.30 Mn |
| Dec 31, 2024 | 25.94 Mn |
| Sep 30, 2024 | 25.81 Mn |
| Jun 30, 2024 | 24.98 Mn |
| Mar 31, 2024 | 24.18 Mn |
| Dec 31, 2023 | 23.63 Mn |
| Sep 30, 2023 | 45.11 Mn |
| Jun 30, 2023 | 44.65 Mn |
| Mar 31, 2023 | 44.40 Mn |
| Dec 31, 2022 | 44.07 Mn |
| Sep 30, 2022 | 43.28 Mn |
| Jun 30, 2022 | 42.97 Mn |
| Mar 31, 2022 | 42.62 Mn |
| Dec 31, 2021 | 42.03 Mn |
| Sep 30, 2021 | 43.14 Mn |
Cirtran 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=CIRX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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-liabilities&ticker=CIRX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();