Cirtran (CIRX) Operating Expenses (2010 - 2026)
Analysis
Cirtran (CIRX) Operating Expenses (2010 - 2026) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Philip Morris International | 308.32 Bn | 285.32 Bn | 7.85 Bn | - |
| 2 | British American Tobacco p.l.c | 133.26 Bn | 109.63 Bn | - | - |
| 3 | Altria | 126.98 Bn | 113.91 Bn | 3.94 Bn | 3.00 Mn |
| 4 | Curaleaf Holdings | 2.49 Bn | 2.11 Bn | 170.48 Mn | 167.53 Mn |
| 5 | Trulieve Cannabis | 2.22 Bn | 840.89 Mn | 162.29 Mn | 532.81 Mn |
| 6 | RLX Technology | 1.99 Bn | -1.77 Bn | 52.74 Mn | 33.52 Mn |
| 7 | Green Thumb Industries | 1.48 Bn | 244.63 Mn | 146.79 Mn | 121.70 Mn |
| 8 | Cronos | 1.35 Bn | -1.92 Bn | 28.45 Mn | 21.05 Mn |
| 9 | Turning Point Brands | 1.30 Bn | 409.51 Mn | 93.70 Mn | 76.99 Mn |
| 10 | Cirtran | 98,908.34 | -99,427.66 | 619,024.00 | 458,396.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 458,396.00 |
| Mar 31, 2026 | 427,260.00 |
| Dec 31, 2025 | 734,323.00 |
| Sep 30, 2025 | 344,330.00 |
| Jun 30, 2025 | 278,200.00 |
| Mar 31, 2025 | 313,567.00 |
| Dec 31, 2024 | 407,018.00 |
| Sep 30, 2024 | 348,223.00 |
| Jun 30, 2024 | 316,221.00 |
| Mar 31, 2024 | 317,915.00 |
| Dec 31, 2023 | -195,850.00 |
| Sep 30, 2023 | 654,269.00 |
| Jun 30, 2023 | 287,622.00 |
| Mar 31, 2023 | 275,373.00 |
| Dec 31, 2022 | 150,680.00 |
| Sep 30, 2022 | 433,642.00 |
| Jun 30, 2022 | 452,088.00 |
| Mar 31, 2022 | 508,683.00 |
| Dec 31, 2021 | 552,456.00 |
| Sep 30, 2021 | 653,878.00 |
API Access
Cirtran Operating Expenses 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=operating-expenses&ticker=CIRX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=CIRX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();