Cirtran (CIRX) Return on Assets [ROA] (2011 - 2026)
Cirtran (CIRX) posted Return on Assets [ROA] of 83.15% for Q2 2026, up 226.14 percentage points from -142.99% a year earlier and up 16.60 percentage points from the prior quarter.
Cirtran (CIRX) Return on Assets [ROA] (2011 - 2026) Analysis & Trends
For FY2025, Cirtran's Return on Assets [ROA] came in at -34.68%, up 125.11 percentage points from FY2024.
- Annual Return on Assets [ROA] shows a five-year change of -99.54 percentage points (FY2020 to FY2025).
- In prior years, Cirtran's Return on Assets [ROA] was -159.79% in FY2024 (-1214.53 pp), 1054.74% in FY2023 (+1150.38 pp), -95.64% in FY2022 (-104.74 pp) and 9.10% in FY2021 (-55.76 pp).
- The Q2 2026 figure stands as the highest quarterly Return on Assets [ROA] since Q3 2024.
- On a year-over-year basis, Return on Assets [ROA] has increased in each of the last three quarters, with an average year-over-year change of -374.43 percentage points over the last eight quarters.
- The strongest year-over-year quarter for Return on Assets [ROA] in the past five years was Q1 2024, with a gain of 1169.83 percentage points; the weakest was Q1 2025, with a drop of 1224.08 percentage points.
- According to Business Quant data, Return on Assets [ROA] for the three prior quarters was 66.55% (Q1 2026), -27.83% (Q4 2025) and -110.44% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROA (Qtr) |
|---|---|---|---|---|---|
| 1 | Philip Morris International | 297.66 Bn | 279.23 Bn | 7.66 Bn | 16.66% |
| 2 | British American Tobacco p.l.c | 125.80 Bn | 104.94 Bn | - | - |
| 3 | Altria | 112.42 Bn | 98.63 Bn | 3.82 Bn | 23.46% |
| 4 | Curaleaf Holdings | 2.73 Bn | 2.33 Bn | 169.91 Mn | -1.14% |
| 5 | RLX Technology | 2.65 Bn | -916.64 Mn | 52.74 Mn | 2.36% |
| 6 | Trulieve Cannabis | 2.10 Bn | 712.57 Mn | 162.29 Mn | -19.60% |
| 7 | Green Thumb Industries | 1.33 Bn | 184.54 Mn | 137.87 Mn | 4.44% |
| 8 | Cronos | 1.22 Bn | -2.00 Bn | 28.45 Mn | 6.74% |
| 9 | Turning Point Brands | 1.18 Bn | 308.67 Mn | 93.70 Mn | 7.33% |
| 10 | Cirtran | 98,908.34 | -99,427.66 | 619,024.00 | 83.15% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 83.15% |
| Mar 31, 2026 | 66.55% |
| Dec 31, 2025 | -27.83% |
| Sep 30, 2025 | -110.44% |
| Jun 30, 2025 | -142.99% |
| Mar 31, 2025 | -137.60% |
| Dec 31, 2024 | -144.21% |
| Sep 30, 2024 | 862.68% |
| Jun 30, 2024 | 965.39% |
| Mar 31, 2024 | 1,086.48% |
| Dec 31, 2023 | 1,025.18% |
| Sep 30, 2023 | -70.17% |
| Jun 30, 2023 | -82.63% |
| Mar 31, 2023 | -83.35% |
| Dec 31, 2022 | -75.71% |
| Sep 30, 2022 | 2.88% |
| Jun 30, 2022 | 5.19% |
| Mar 31, 2022 | 9.75% |
| Dec 31, 2021 | 8.34% |
| Sep 30, 2021 | 27.67% |
Cirtran Return on Assets [ROA] 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=return-on-assets-%5Broa%5D&ticker=CIRX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-assets-[roa]", "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=return-on-assets-%5Broa%5D&ticker=CIRX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();