CV Sciences (CVSI) Long-Term Debt Repayments (2011 - 2026)
CV Sciences (CVSI) reported Long-Term Debt Repayments of $54,000 for Q2 2026, down 49.5% from $107,000 a year earlier but up 1.9% from the prior quarter.
Powered by 
Analysis
CV Sciences (CVSI) Long-Term Debt Repayments (2011 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, CV Sciences' Long-Term Debt Repayments came in at $471,000, down 58.5% year-over-year; for FY2025, it came in at $1.05 million, up 68.8% from FY2024.
- Long-Term Debt Repayments has a four-year compound annual growth rate of 6.8% (FY2021 to FY2025).
- By year, Long-Term Debt Repayments came in at $622,000 in FY2024 (-44.3%), $1.12 million in FY2023 (+17.2%), $953,000 in FY2022 (+17.9%) and $808,000 in FY2021.
- Five-year quarterly Long-Term Debt Repayments spans a low of $53,000 in Q1 2026 and a high of $764,000 in Q1 2023.
- Year over year, Long-Term Debt Repayments has now declined in each of the last three quarters, with growth averaging 74.5% over the last six quarters.
- The high point for year-over-year Long-Term Debt Repayments in five years was Q1 2025 (growth of 573.3%); the low point was Q1 2026 (a decline of 90.8%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $53,000 (Q1 2026), $150,000 (Q4 2025) and $214,000 (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Philip Morris International | 312.80 Bn | 292.44 Bn | 7.66 Bn | 1.88 Bn |
| 2 | British American Tobacco p.l.c | 132.04 Bn | 108.41 Bn | - | - |
| 3 | Altria | 126.64 Bn | 112.79 Bn | 3.82 Bn | - |
| 4 | Curaleaf Holdings | 2.11 Bn | 1.72 Bn | 169.91 Mn | 711.58 Mn |
| 5 | Trulieve Cannabis | 2.10 Bn | 715.63 Mn | 162.29 Mn | - |
| 6 | RLX Technology | 2.01 Bn | -1.76 Bn | 52.74 Mn | - |
| 7 | Green Thumb Industries | 1.41 Bn | 259.63 Mn | 137.87 Mn | 7.24 Mn |
| 8 | Turning Point Brands | 1.33 Bn | 439.35 Mn | 93.70 Mn | - |
| 9 | Cronos | 1.29 Bn | -1.99 Bn | 28.45 Mn | - |
| 10 | CV Sciences | 2.05 Mn | 816,859.95 | 1.45 Mn | 54,000.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 54,000.00 |
| Mar 31, 2026 | 53,000.00 |
| Dec 31, 2025 | 184,000.00 |
| Sep 30, 2025 | 234,000.00 |
| Jun 30, 2025 | 167,000.00 |
| Mar 31, 2025 | 638,000.00 |
| Dec 31, 2024 | 335,000.00 |
| Sep 30, 2024 | 305,000.00 |
| Jun 30, 2024 | 87,000.00 |
| Mar 31, 2024 | 136,000.00 |
| Dec 31, 2023 | 56,000.00 |
| Sep 30, 2023 | 28,000.00 |
| Jun 30, 2023 | 435,000.00 |
| Mar 31, 2023 | 872,000.00 |
| Dec 31, 2022 | 738,000.00 |
| Sep 30, 2022 | 1.01 Mn |
| Jun 30, 2022 | 89,000.00 |
| Mar 31, 2022 | 132,000.00 |
| Dec 31, 2021 | 87,000.00 |
| Sep 30, 2021 | 92,000.00 |
API Access
CV Sciences Long-Term Debt Repayments 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=long-term-debt-repayments&ticker=CVSI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-repayments", "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=long-term-debt-repayments&ticker=CVSI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();