Cirtran (CIRX) Selling, General & Administrative (2010 - 2026)
Analysis
Cirtran (CIRX) Selling, General & Administrative (2010 - 2026) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (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 | - |
| 4 | Curaleaf Holdings | 2.49 Bn | 2.11 Bn | 170.48 Mn | 131.03 Mn |
| 5 | Trulieve Cannabis | 2.22 Bn | 840.89 Mn | 162.29 Mn | 101.77 Mn |
| 6 | RLX Technology | 1.99 Bn | -1.77 Bn | 52.74 Mn | 10.96 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 | 10.80 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 | 329,829.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 329,829.00 |
| Mar 31, 2026 | 297,240.00 |
| Dec 31, 2025 | 620,093.00 |
| Sep 30, 2025 | 201,461.00 |
| Jun 30, 2025 | 155,654.00 |
| Mar 31, 2025 | 184,659.00 |
| Dec 31, 2024 | 271,856.00 |
| Sep 30, 2024 | 218,480.00 |
| Jun 30, 2024 | 190,548.00 |
| Mar 31, 2024 | 192,686.00 |
| Dec 31, 2023 | -284,467.00 |
| Sep 30, 2023 | 505,169.00 |
| Jun 30, 2023 | 150,515.00 |
| Mar 31, 2023 | 138,678.00 |
| Dec 31, 2022 | 16,341.00 |
| Sep 30, 2022 | 293,891.00 |
| Jun 30, 2022 | 317,594.00 |
| Mar 31, 2022 | 376,177.00 |
| Dec 31, 2021 | 464,722.00 |
| Sep 30, 2021 | 514,358.00 |
API Access
Cirtran Selling, General & Administrative 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=selling-general-and-administrative&ticker=CIRX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=CIRX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();