Cirtran (CIRX) Operating Expenses (2010 - 2026)
Cirtran (CIRX) recorded Operating Expenses of $458,396 in Q2 2026, up 64.8% from $278,200 a year earlier and up 7.3% from the prior quarter.
Cirtran (CIRX) Operating Expenses (2010 - 2026) Analysis & Trends
On a TTM basis, Cirtran's Operating Expenses came in at $1.96 million as of Jun 30, 2026, up 45.8% year-over-year; for FY2025, it came in at $1.67 million, up 20.2% from FY2024.
- Annual Operating Expenses has a five-year compound annual growth rate of 17.1% (FY2020 to FY2025).
- Across earlier years, Operating Expenses came in at $1.39 million in FY2024 (+36.0%), $1.02 million in FY2023 (-33.9%), $1.55 million in FY2022 (-27.4%) and $2.13 million in FY2021 (+180.6%).
- Quarterly Operating Expenses has ranged from -$195,850 in Q4 2023 to $734,323 in Q4 2025 over the past five years.
- On a year-over-year basis, Operating Expenses has increased for three consecutive quarters, with growth averaging 17.2% over the last seven quarters.
- Peak year-over-year performance for Operating Expenses in the last five years was growth of 155.7% in Q3 2021, against a decline of 72.7% in Q4 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at $427,260 (Q1 2026), $734,323 (Q4 2025) and $344,330 (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Philip Morris International | 297.66 Bn | 279.23 Bn | 7.66 Bn | - |
| 2 | British American Tobacco p.l.c | 125.80 Bn | 104.94 Bn | - | - |
| 3 | Altria | 112.42 Bn | 98.63 Bn | 3.82 Bn | 21.00 Mn |
| 4 | Curaleaf Holdings | 2.73 Bn | 2.33 Bn | 169.91 Mn | 165.69 Mn |
| 5 | RLX Technology | 2.65 Bn | -916.64 Mn | 52.74 Mn | -33.52 Mn |
| 6 | Trulieve Cannabis | 2.10 Bn | 712.57 Mn | 162.29 Mn | 532.81 Mn |
| 7 | Green Thumb Industries | 1.33 Bn | 184.54 Mn | 137.87 Mn | 117.91 Mn |
| 8 | Cronos | 1.22 Bn | -2.00 Bn | 28.45 Mn | 21.05 Mn |
| 9 | Turning Point Brands | 1.18 Bn | 308.67 Mn | 93.70 Mn | 76.99 Mn |
| 10 | Cirtran | 98,908.34 | -99,427.66 | 619,024.00 | 458,396.00 |
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 |
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();