CV Sciences (CVSI) Operating Expenses (2011 - 2026)
CV Sciences (CVSI) reported Operating Expenses of $1.75 million for Q2 2026, down 11.3% from $1.98 million a year earlier and down 6.9% from the prior quarter.
CV Sciences (CVSI) Operating Expenses (2011 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, CV Sciences' Operating Expenses came in at $7.23 million, down 15.8% year-over-year; for FY2025, it was $7.74 million, down 17.2% from FY2024.
- Operating Expenses has declined for six consecutive years, with a five-year compound annual growth rate of -25.4% (FY2020 to FY2025).
- By year, Operating Expenses came in at $9.36 million in FY2024 (-5.9%), $9.95 million in FY2023 (-19.8%), $12.4 million in FY2022 (-54.2%) and $27.06 million in FY2021 (-19.5%).
- Five-year quarterly Operating Expenses spans a low of $1.75 million in Q4 2025 and a high of $10.45 million in Q4 2021.
- Year over year, Operating Expenses has now declined in each of the last nine quarters, with an average decline of 14.2% over the last eight quarters.
- The high point for year-over-year Operating Expenses in five years was Q1 2024 (growth of 12.9%); the low point was Q4 2022 (a decline of 64.7%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $1.88 million (Q1 2026), $1.75 million (Q4 2025) and $1.85 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Philip Morris International | 302.31 Bn | 283.88 Bn | 7.66 Bn | - |
| 2 | British American Tobacco p.l.c | 126.84 Bn | 105.99 Bn | - | - |
| 3 | Altria | 114.73 Bn | 100.93 Bn | 3.82 Bn | 21.00 Mn |
| 4 | Curaleaf Holdings | 2.84 Bn | 2.44 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 | 2.39 Bn | 1.00 Bn | 162.29 Mn | 532.81 Mn |
| 7 | Green Thumb Industries | 1.49 Bn | 344.56 Mn | 137.87 Mn | 117.91 Mn |
| 8 | Cronos | 1.25 Bn | -1.97 Bn | 28.45 Mn | 21.05 Mn |
| 9 | Turning Point Brands | 1.21 Bn | 336.94 Mn | 93.70 Mn | 76.99 Mn |
| 10 | CV Sciences | 2.13 Mn | 897,219.95 | 1.45 Mn | 1.75 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.75 Mn |
| Mar 31, 2026 | 1.88 Mn |
| Dec 31, 2025 | 1.75 Mn |
| Sep 30, 2025 | 1.85 Mn |
| Jun 30, 2025 | 1.98 Mn |
| Mar 31, 2025 | 2.17 Mn |
| Dec 31, 2024 | 2.32 Mn |
| Sep 30, 2024 | 2.12 Mn |
| Jun 30, 2024 | 2.44 Mn |
| Mar 31, 2024 | 2.47 Mn |
| Dec 31, 2023 | 2.68 Mn |
| Sep 30, 2023 | 2.28 Mn |
| Jun 30, 2023 | 2.79 Mn |
| Mar 31, 2023 | 2.19 Mn |
| Dec 31, 2022 | 3.69 Mn |
| Sep 30, 2022 | 2.45 Mn |
| Jun 30, 2022 | 3.59 Mn |
| Mar 31, 2022 | 2.67 Mn |
| Dec 31, 2021 | 10.45 Mn |
| Sep 30, 2021 | 5.34 Mn |
CV Sciences 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=CVSI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "CVSI", "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=CVSI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();