CV Sciences (CVSI) Cost of Revenue (2013 - 2026)
CV Sciences (CVSI) recorded Cost of Revenue of $1.54 million in Q2 2026, down 13.6% from $1.78 million a year earlier and down 6.0% from the prior quarter.
CV Sciences (CVSI) Cost of Revenue (2013 - 2026) Analysis & Trends
On a TTM basis, CV Sciences' Cost of Revenue came in at $6.48 million as of Jun 30, 2026, down 19.2% year-over-year; for FY2025, it came in at $7.04 million, down 17.6% from FY2024.
- Annual Cost of Revenue has declined for six straight years, with a five-year compound annual growth rate of -12.1% (FY2020 to FY2025).
- Across earlier years, Cost of Revenue came in at $8.54 million in FY2024 (-4.3%), $8.92 million in FY2023 (-16.3%), $10.66 million in FY2022 (-6.8%) and $11.43 million in FY2021 (-14.8%).
- The Q2 2026 figure is the lowest quarterly Cost of Revenue since Q2 2017.
- On a year-over-year basis, Cost of Revenue has declined for six consecutive quarters, with an average decline of 12.5% over the last eight quarters.
- Peak year-over-year performance for Cost of Revenue in the last five years was growth of 32.4% in Q1 2022, against a decline of 31.3% in Q4 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at $1.63 million (Q1 2026), $1.64 million (Q4 2025) and $1.68 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | Philip Morris International | 292.24 Bn | 273.81 Bn | 7.66 Bn | 3.53 Bn |
| 2 | British American Tobacco p.l.c | 121.70 Bn | 100.85 Bn | - | - |
| 3 | Altria | 112.46 Bn | 98.66 Bn | 3.82 Bn | 1.54 Bn |
| 4 | Curaleaf Holdings | 2.67 Bn | 2.27 Bn | 169.91 Mn | 170.19 Mn |
| 5 | RLX Technology | 2.65 Bn | -916.64 Mn | 52.74 Mn | 82.40 Mn |
| 6 | Trulieve Cannabis | 2.06 Bn | 674.09 Mn | 162.29 Mn | 108.66 Mn |
| 7 | Green Thumb Industries | 1.30 Bn | 155.26 Mn | 137.87 Mn | 168.81 Mn |
| 8 | Cronos | 1.19 Bn | -2.03 Bn | 28.45 Mn | 42.15 Mn |
| 9 | Turning Point Brands | 1.12 Bn | 246.72 Mn | 93.70 Mn | 49.26 Mn |
| 10 | CV Sciences | 2.13 Mn | 897,219.95 | 1.45 Mn | 1.54 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.54 Mn |
| Mar 31, 2026 | 1.63 Mn |
| Dec 31, 2025 | 1.64 Mn |
| Sep 30, 2025 | 1.68 Mn |
| Jun 30, 2025 | 1.78 Mn |
| Mar 31, 2025 | 1.95 Mn |
| Dec 31, 2024 | 2.21 Mn |
| Sep 30, 2024 | 2.09 Mn |
| Jun 30, 2024 | 2.09 Mn |
| Mar 31, 2024 | 2.15 Mn |
| Dec 31, 2023 | 2.06 Mn |
| Sep 30, 2023 | 2.25 Mn |
| Jun 30, 2023 | 2.25 Mn |
| Mar 31, 2023 | 2.37 Mn |
| Dec 31, 2022 | 2.31 Mn |
| Sep 30, 2022 | 2.19 Mn |
| Jun 30, 2022 | 2.87 Mn |
| Mar 31, 2022 | 3.29 Mn |
| Dec 31, 2021 | 3.36 Mn |
| Sep 30, 2021 | 2.75 Mn |
CV Sciences Cost of Revenue 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=cost-of-revenue&ticker=CVSI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cost-of-revenue", "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=cost-of-revenue&ticker=CVSI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();