CV Sciences (CVSI) Short term Debt (2013 - 2026)
CV Sciences (CVSI) recorded Short term Debt of $18,000 in Q2 2026, down 98.2% from $1.02 million a year earlier and down 75.0% from the prior quarter.
CV Sciences (CVSI) Short term Debt (2013 - 2026) Analysis & Trends
At the end of FY2025, CV Sciences reported Short term Debt of $1.26 million, up 86.4% from FY2024.
- Across earlier years, Short term Debt came in at $677,000 in FY2024.
- The Q2 2026 figure is the lowest quarterly Short term Debt in data going back to Q3 2013.
- Per Business Quant, the preceding three quarters came in at $72,000 (Q1 2026), $1.26 million (Q4 2025) and $451,000 (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Philip Morris International | 307.33 Bn | 286.97 Bn | 7.66 Bn |
| 2 | British American Tobacco p.l.c | 128.97 Bn | 105.33 Bn | - |
| 3 | Altria | 123.30 Bn | 109.46 Bn | 3.82 Bn |
| 4 | Trulieve Cannabis | 2.12 Bn | 741.64 Mn | 162.29 Mn |
| 5 | Curaleaf Holdings | 2.12 Bn | 1.72 Bn | 169.91 Mn |
| 6 | RLX Technology | 2.06 Bn | -1.70 Bn | 52.74 Mn |
| 7 | Green Thumb Industries | 1.43 Bn | 279.53 Mn | 137.87 Mn |
| 8 | Turning Point Brands | 1.28 Bn | 389.03 Mn | 93.70 Mn |
| 9 | Cronos | 1.27 Bn | -2.01 Bn | 28.45 Mn |
| 10 | CV Sciences | 2.05 Mn | 816,859.95 | 1.45 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 18,000.00 |
| Mar 31, 2026 | 72,000.00 |
| Dec 31, 2025 | 1.26 Mn |
| Sep 30, 2025 | 451,000.00 |
| Jun 30, 2025 | 1.02 Mn |
| Mar 31, 2025 | 770,000.00 |
| Dec 31, 2024 | 677,000.00 |
| Mar 31, 2018 | 323,086.00 |
| Dec 31, 2017 | 609,926.00 |
| Sep 30, 2017 | 1.94 Mn |
| Jun 30, 2017 | 2.11 Mn |
| Mar 31, 2017 | 1.62 Mn |
| Dec 31, 2016 | 2.02 Mn |
| Sep 30, 2016 | 1.97 Mn |
| Jun 30, 2016 | 1.71 Mn |
| Mar 31, 2016 | 79,482.00 |
| Dec 31, 2015 | 1.02 Mn |
| Sep 30, 2013 | 30,000.00 |
CV Sciences Short term Debt 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=short-term-debt&ticker=CVSI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "short-term-debt", "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=short-term-debt&ticker=CVSI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();